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Engineering Tripos Part IIB, 4C8: Vehicle Dynamics, 2021-22

Module Leader

Prof. D Cebon

Lecturers

Prof D Cebon and Dr D Cole

Lab Leader

Dr D Cole

Timing and Structure

Lent term. 13 lectures + 2 examples classes + coursework

Prerequisites

3C5 and 3C6 useful

Aims

The aims of the course are to:

  • introduce the forces generated by rolling wheels;
  • show how these forces affect the lateral stability and steady cornering behaviour of road and railway vehicles;
  • introduce some simple mathematical models and performance criteria for vehicle vibration;
  • show how vehicle suspension parameter values can be tuned to optimise vibration performance;
  • review vehicle suspension technology;

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand steady state creep forces and moments in rolling contact and be able to calculate them using the 'brush' model for a variety of simple cases;
  • derive the equations of motion of a simple automobile and understand the basic concepts of automobile handling and lateral stability;
  • derive the equations of motion of a two-axle rigid railway bogie and to understand the implications for the steady cornering and stability of railway vehicles;
  • derive the equations of motion of simple vehicle models and calculate the vibration responses;
  • understand the trade-offs involved in suspension design;
  • explain the influence of vehicle and road parameters on vehicle vibration behaviour.

Content

Introduction (1L) Prof. D Cebon and Dr D J Cole

Vehicle dynamics (6L) (Prof. D Cebon)

  • Introduction to the creep forces and moments generated by rolling wheels, using the 'brush' model.
  • Steady state and transient response of a simple automobile model to steering and side force inputs.
  • Introduction to understeer, oversteer, and handling diagrams.
  • Stability and cornering of a single railway wheelset and a two-axle railway bogie.

Vehicle vibration (6L) (Dr D J Cole)

  • Introduction to random vibration, description of road surface roughness.
  • Performance criteria.
  • Quarter-car model of vehicle vibration, natural modes, conflict diagrams.
  • Pitch-plane model, natural modes, wheelbase filtering, suspension tuning.
  • Roll-plane model, lateral tyre behaviour, parallel road profiles.
  • Vehicle suspension technology.

Further notes

ASSESSMENT

Lecture Syllabus/Written exam (1.5 hours) - Start of Easter Term/75%
Coursework/Laboratory Report - End of Lent Term/25%

Examples papers

Examples paper 1, vehicle dynamics, issued in lecture 1.

Examples paper 2, vehicle vibration, issued in lecture 8.

Coursework

 

Coursework Format

Due date

& marks

One laboratory experiment on behaviour of vehicle tyres, to be performed in pairs, essentially unsupervised. An online booking sheet will offer a wide range of possible times at which the experiment may be performed. A normal laboratory write-up is to be prepared, which will be assessed for the coursework credit.

The aim of this experiment is to investigate, qualitatively and quantitatively, the characteristics of a model tyre under a variety of operating conditions. Although the model tyre is not dimensionally similar to a real tyre and is made of solid silicone rubber, it displays many of the important characteristics of road and railway wheels. 

Learning objectives:

  • Measure the lateral and longitudinal force-slip characteristics of a model tyre

  • Compare measured data with values predicted from a theoretical model

  • Write a concise report, concentrating on the physics of creep and comparison between experiments and theory

Individual Report

anonymously marked

  Put in the coursework post box outside room BE3-39 before the feedback lecture.

[15/60]

 

 

Booklists

Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US3

An understanding of concepts from a range of areas including some outside engineering, and the ability to apply them effectively in engineering projects.

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 20/05/2021 07:43

Engineering Tripos Part IIB, 4C8: Vehicle Dynamics, 2020-21

Module Leader

Prof. D Cebon

Lecturers

Prof D Cebon and Dr R Roebuck

Lab Leader

Prof D Cebon

Timing and Structure

Lent term. 13 lectures + 2 examples classes + coursework

Prerequisites

3C5 and 3C6 useful

Aims

The aims of the course are to:

  • introduce the forces generated by rolling wheels;
  • show how these forces affect the lateral stability and steady cornering behaviour of road and railway vehicles;
  • introduce some simple mathematical models and performance criteria for vehicle vibration;
  • show how vehicle suspension parameter values can be tuned to optimise vibration performance;
  • review vehicle suspension technology;

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand steady state creep forces and moments in rolling contact and be able to calculate them using the 'brush' model for a variety of simple cases;
  • derive the equations of motion of a simple automobile and understand the basic concepts of automobile handling and lateral stability;
  • derive the equations of motion of a two-axle rigid railway bogie and to understand the implications for the steady cornering and stability of railway vehicles;
  • derive the equations of motion of simple vehicle models and calculate the vibration responses;
  • understand the trade-offs involved in suspension design;
  • explain the influence of vehicle and road parameters on vehicle vibration behaviour.

Content

Introduction (1L) Prof. D Cebon and Dr D J Cole

Vehicle dynamics (6L) (Prof. D Cebon)

  • Introduction to the creep forces and moments generated by rolling wheels, using the 'brush' model.
  • Steady state and transient response of a simple automobile model to steering and side force inputs.
  • Introduction to understeer, oversteer, and handling diagrams.
  • Stability and cornering of a single railway wheelset and a two-axle railway bogie.

Vehicle vibration (6L) (Dr D J Cole)

  • Introduction to random vibration, description of road surface roughness.
  • Performance criteria.
  • Quarter-car model of vehicle vibration, natural modes, conflict diagrams.
  • Pitch-plane model, natural modes, wheelbase filtering, suspension tuning.
  • Roll-plane model, lateral tyre behaviour, parallel road profiles.
  • Vehicle suspension technology.

Further notes

ASSESSMENT

Lecture Syllabus/Written exam (1.5 hours) - Start of Easter Term/75%
Coursework/Laboratory Report - End of Lent Term/25%

Examples papers

Examples paper 1, vehicle dynamics, issued in lecture 1.

Examples paper 2, vehicle vibration, issued in lecture 8.

Coursework

 

Coursework Format

Due date

& marks

One laboratory experiment on behaviour of vehicle tyres, to be performed in pairs, essentially unsupervised. An online booking sheet will offer a wide range of possible times at which the experiment may be performed. A normal laboratory write-up is to be prepared, which will be assessed for the coursework credit.

The aim of this experiment is to investigate, qualitatively and quantitatively, the characteristics of a model tyre under a variety of operating conditions. Although the model tyre is not dimensionally similar to a real tyre and is made of solid silicone rubber, it displays many of the important characteristics of road and railway wheels. 

Learning objectives:

  • Measure the lateral and longitudinal force-slip characteristics of a model tyre

  • Compare measured data with values predicted from a theoretical model

  • Write a concise report, concentrating on the physics of creep and comparison between experiments and theory

Individual Report

anonymously marked

  Put in the coursework post box outside room BE3-39 before the feedback lecture.

[15/60]

 

 

Booklists

Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US3

An understanding of concepts from a range of areas including some outside engineering, and the ability to apply them effectively in engineering projects.

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 01/09/2020 10:31

Engineering Tripos Part IIB, 4C7: Random & Non-Linear Vibrations, 2021-22

Module Leader

Prof AA Seshia

Lecturers

Prof AA Seshia and Prof \R Langley

Lab Leader

Prof AA Seshia

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3C6 useful.

Aims

The aims of the course are to:

  • analyse the effects of random vibrations on machines and structures and the effects that occur as a result of non-linearities.
  • describe the characteristics of random and non linear vibrations, deriving the effects of a system's dynamic response on the input and giving methods of determining resulting deflections or stresses.
  • describe some of the characteristics of self excited vibrations.

Objectives

As specific objectives, by the end of the course students should be able to:

  • identify and describe random processes.
  • predict the output from a system subjected to random forcing.
  • predict how frequently output levels will be exceeded.
  • apply the correct windows and filters for analysis.
  • assess the reliability of frequency analyses.
  • understand the effects of non-linearities on system response.
  • calculate and use describing functions and harmonic balance.
  • predict phase-plane behaviour of second-order systems.
  • understand some of the common self excited vibrations and their characteristics.

Content

Non-linear and self-excited vibration. (6L, Dr A A Seshia )

  • Types of non-linearities in engineering systems and their major qualitative effects.   Method of harmonic balance, describing functions;
  • Representation of second-order nonlinear systems in the phase plane.  Stationary points and their classification.  Periodic orbits;
  • Introduction to self-excited vibration.  Examples of systems which are excited by instability and dry friction. Self excited oscillations in micro electromechanical systems.

Random vibration. (6L, Professor R S Langley)

  • Characteristics of random vibrations and the use of probability distributions and spectral densities to describe such vibration:
  • Auto and cross spectra. Transmission of random vibration through linear systems and derivation of output statistics and spectral densities;
  • Narrow-band processes and determination of level-crossing frequency, distribution of peaks and frequency of maxima;
  • Spectral analysis. Fourier transforms. Problems with sampling and relevance of aliasing. Calculation of spectra for sampled points;
  • Basic lag and use of windows and smoothing. Coherence. Accuracy of measurements.

Coursework

Coursework on non-linear vibrations. This involves a short lab, numerical modelling and simulation exercise, and 4 hours writing-up.

Coursework Format

Due date

& marks

Nonlinear vibration of a clamped beam

Learning objective:

(i) To explore nonlinear effects due to high forcing amplitudes about resonance in mechanical structures.

(ii) To construct a model to explain the nonlinear behaviour of the mechanism provided and use this model to simulate the behaviour of the system under specified conditions.

(iii) Demonstrate use of the sonogram (time-varying spectrum) as an analytical tool to distinguish both frequency and temporal characteristics of a transient record.

Individual

Report

Anonymously marked

Weds Week 8

1 Dec

[15/60]

 

Booklists

Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P8

Ability to apply engineering techniques taking account of a range of commercial and industrial constraints.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 28/09/2021 07:24

Engineering Tripos Part IIB, 4C7: Random & Non-Linear Vibrations, 2023-24

Module Leader

Prof AA Seshia

Lecturers

Prof AA Seshia and Prof D Cebon

Lab Leader

Prof AA Seshia

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3C6 useful.

Aims

The aims of the course are to:

  • analyse the effects of random vibrations on machines and structures and the effects that occur as a result of non-linearities.
  • describe the characteristics of random and non linear vibrations, deriving the effects of a system's dynamic response on the input and giving methods of determining resulting deflections or stresses.
  • describe some of the characteristics of self excited vibrations.

Objectives

As specific objectives, by the end of the course students should be able to:

  • identify and describe random processes.
  • predict the output from a system subjected to random forcing.
  • predict how frequently output levels will be exceeded.
  • apply the correct windows and filters for analysis.
  • assess the reliability of frequency analyses.
  • understand the effects of non-linearities on system response.
  • calculate and use describing functions and harmonic balance.
  • predict phase-plane behaviour of second-order systems.
  • understand some of the common self excited vibrations and their characteristics.

Content

Non-linear and self-excited vibration. (6L, Prof A A Seshia )

  • Types of non-linearities in engineering systems and their major qualitative effects.   Method of harmonic balance, describing functions;
  • Representation of second-order nonlinear systems in the phase plane.  Stationary points and their classification.  Periodic orbits;
  • Introduction to self-excited vibration.  Examples of systems which are excited by instability and dry friction. Self excited oscillations in micro electromechanical systems.

Random vibration. (6L, Professor D Cebon)

  • Characteristics of random vibrations and the use of probability distributions and spectral densities to describe such vibration:
  • Auto and cross spectra. Transmission of random vibration through linear systems and derivation of output statistics and spectral densities;
  • Narrow-band processes and determination of level-crossing frequency, distribution of peaks and frequency of maxima;
  • Spectral analysis. Fourier transforms. Problems with sampling and relevance of aliasing. Calculation of spectra for sampled points;
  • Basic lag and use of windows and smoothing. Coherence. Accuracy of measurements.

Coursework

Coursework on non-linear vibrations. This involves a short lab, numerical modelling and simulation exercise, and 4 hours writing-up.

Coursework Format

Due date

& marks

Nonlinear vibration of a clamped beam

Learning objective:

(i) To explore nonlinear effects due to high forcing amplitudes about resonance in mechanical structures.

(ii) To construct a model to explain the nonlinear behaviour of the mechanism provided and use this model to simulate the behaviour of the system under specified conditions.

(iii) Demonstrate use of the sonogram (time-varying spectrum) as an analytical tool to distinguish both frequency and temporal characteristics of a transient record.

Individual

Report

Anonymously marked

Weds Week 8

29 Nov

[15/60]

 

Booklists

Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P8

Ability to apply engineering techniques taking account of a range of commercial and industrial constraints.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 03/10/2023 13:45

Engineering Tripos Part IIB, 4C7: Random & Non-Linear Vibrations, 2017-18

Module Leader

Prof R Langley

Lecturers

Prof R Langley and Dr A Seshia

Lab Leader

Dr A Seshia

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3C6 useful.

Aims

The aims of the course are to:

  • analyse the effects of random vibrations on machines and structures and the effects that occur as a result of non-linearities.
  • describe the characteristics of random and non linear vibrations, deriving the effects of a system's dynamic response on the input and giving methods of determining resulting deflections or stresses.
  • describe some of the characteristics of self excited vibrations.

Objectives

As specific objectives, by the end of the course students should be able to:

  • identify and describe random processes.
  • predict the output from a system subjected to random forcing.
  • predict how frequently output levels will be exceeded.
  • apply the correct windows and filters for analysis.
  • assess the reliability of frequency analyses.
  • understand the effects of non-linearities on system response.
  • calculate and use describing functions and harmonic balance.
  • predict phase-plane behaviour of second-order systems.
  • understand some of the common self excited vibrations and their characteristics.

Content

Non-linear and self-excited vibration. (6L, Dr A A Seshia )

  • Types of non-linearities in engineering systems and their major qualitative effects.   Method of harmonic balance, describing functions;
  • Representation of second-order nonlinear systems in the phase plane.  Stationary points and their classification.  Periodic orbits;
  • Introduction to self-excited vibration.  Examples of systems which are excited by instability and dry friction. Self excited oscillations in micro electromechanical systems.

Random vibration. (6L, Professor R S Langely)

  • Characteristics of random vibrations and the use of probability distributions and spectral densities to describe such vibration:
  • Auto and cross spectra. Transmission of random vibration through linear systems and derivation of output statistics and spectral densities;
  • Narrow-band processes and determination of level-crossing frequency, distribution of peaks and frequency of maxima;
  • Spectral analysis. Fourier transforms. Problems with sampling and relevance of aliasing. Calculation of spectra for sampled points;
  • Basic lag and use of windows and smoothing. Coherence. Accuracy of measurements.

Coursework

Experiment on non-linear vibrations. This involves about 4 hours in the laboratory and 4 hours writing-up.

Coursework Format

Due date

& marks

Nonlinear vibration of a clamped beam

Learning objective:

(i) To explore nonlinear effects due to high forcing amplitudes about resonance in mechanical structures.

(ii) To construct a model to explain the nonlinear behaviour of the mechanism provided and use this model to simulate the behaviour of the system under specified conditions.

(iii) Demonstrate use of the sonogram (time-varying spectrum) as an analytical tool to distinguish both frequency and temporal characteristics of a transient record.

Individual

Report

Anonymously marked

Weds Week 9

29 Nov

[15/60]

 

Booklists

Please see the Booklist for Group C Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P8

Ability to apply engineering techniques taking account of a range of commercial and industrial constraints.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 05/10/2017 07:55

Engineering Tripos Part IIB, 4C7: Random & Non-Linear Vibrations, 2019-20

Module Leader

Prof AA Seshia

Lecturers

Prof R Langley and Prof AA Seshia

Lab Leader

Prof AA Seshia

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3C6 useful.

Aims

The aims of the course are to:

  • analyse the effects of random vibrations on machines and structures and the effects that occur as a result of non-linearities.
  • describe the characteristics of random and non linear vibrations, deriving the effects of a system's dynamic response on the input and giving methods of determining resulting deflections or stresses.
  • describe some of the characteristics of self excited vibrations.

Objectives

As specific objectives, by the end of the course students should be able to:

  • identify and describe random processes.
  • predict the output from a system subjected to random forcing.
  • predict how frequently output levels will be exceeded.
  • apply the correct windows and filters for analysis.
  • assess the reliability of frequency analyses.
  • understand the effects of non-linearities on system response.
  • calculate and use describing functions and harmonic balance.
  • predict phase-plane behaviour of second-order systems.
  • understand some of the common self excited vibrations and their characteristics.

Content

Non-linear and self-excited vibration. (6L, Dr A A Seshia )

  • Types of non-linearities in engineering systems and their major qualitative effects.   Method of harmonic balance, describing functions;
  • Representation of second-order nonlinear systems in the phase plane.  Stationary points and their classification.  Periodic orbits;
  • Introduction to self-excited vibration.  Examples of systems which are excited by instability and dry friction. Self excited oscillations in micro electromechanical systems.

Random vibration. (6L, Professor R S Langely)

  • Characteristics of random vibrations and the use of probability distributions and spectral densities to describe such vibration:
  • Auto and cross spectra. Transmission of random vibration through linear systems and derivation of output statistics and spectral densities;
  • Narrow-band processes and determination of level-crossing frequency, distribution of peaks and frequency of maxima;
  • Spectral analysis. Fourier transforms. Problems with sampling and relevance of aliasing. Calculation of spectra for sampled points;
  • Basic lag and use of windows and smoothing. Coherence. Accuracy of measurements.

Coursework

Experiment on non-linear vibrations. This involves about 4 hours in the laboratory and 4 hours writing-up.

Coursework Format

Due date

& marks

Nonlinear vibration of a clamped beam

Learning objective:

(i) To explore nonlinear effects due to high forcing amplitudes about resonance in mechanical structures.

(ii) To construct a model to explain the nonlinear behaviour of the mechanism provided and use this model to simulate the behaviour of the system under specified conditions.

(iii) Demonstrate use of the sonogram (time-varying spectrum) as an analytical tool to distinguish both frequency and temporal characteristics of a transient record.

Individual

Report

Anonymously marked

Weds Week 8

4 Dec

[15/60]

 

Booklists

Please see the Booklist for Group C Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P8

Ability to apply engineering techniques taking account of a range of commercial and industrial constraints.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 11/10/2019 06:51

Engineering Tripos Part IIB, 4C7: Random & Non-Linear Vibrations, 2018-19

Module Leader

Prof R Langley

Lecturers

Prof R Langley and Dr A Seshia

Lab Leader

Dr A Seshia

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3C6 useful.

Aims

The aims of the course are to:

  • analyse the effects of random vibrations on machines and structures and the effects that occur as a result of non-linearities.
  • describe the characteristics of random and non linear vibrations, deriving the effects of a system's dynamic response on the input and giving methods of determining resulting deflections or stresses.
  • describe some of the characteristics of self excited vibrations.

Objectives

As specific objectives, by the end of the course students should be able to:

  • identify and describe random processes.
  • predict the output from a system subjected to random forcing.
  • predict how frequently output levels will be exceeded.
  • apply the correct windows and filters for analysis.
  • assess the reliability of frequency analyses.
  • understand the effects of non-linearities on system response.
  • calculate and use describing functions and harmonic balance.
  • predict phase-plane behaviour of second-order systems.
  • understand some of the common self excited vibrations and their characteristics.

Content

Non-linear and self-excited vibration. (6L, Dr A A Seshia )

  • Types of non-linearities in engineering systems and their major qualitative effects.   Method of harmonic balance, describing functions;
  • Representation of second-order nonlinear systems in the phase plane.  Stationary points and their classification.  Periodic orbits;
  • Introduction to self-excited vibration.  Examples of systems which are excited by instability and dry friction. Self excited oscillations in micro electromechanical systems.

Random vibration. (6L, Professor R S Langely)

  • Characteristics of random vibrations and the use of probability distributions and spectral densities to describe such vibration:
  • Auto and cross spectra. Transmission of random vibration through linear systems and derivation of output statistics and spectral densities;
  • Narrow-band processes and determination of level-crossing frequency, distribution of peaks and frequency of maxima;
  • Spectral analysis. Fourier transforms. Problems with sampling and relevance of aliasing. Calculation of spectra for sampled points;
  • Basic lag and use of windows and smoothing. Coherence. Accuracy of measurements.

Coursework

Experiment on non-linear vibrations. This involves about 4 hours in the laboratory and 4 hours writing-up.

Coursework Format

Due date

& marks

Nonlinear vibration of a clamped beam

Learning objective:

(i) To explore nonlinear effects due to high forcing amplitudes about resonance in mechanical structures.

(ii) To construct a model to explain the nonlinear behaviour of the mechanism provided and use this model to simulate the behaviour of the system under specified conditions.

(iii) Demonstrate use of the sonogram (time-varying spectrum) as an analytical tool to distinguish both frequency and temporal characteristics of a transient record.

Individual

Report

Anonymously marked

Weds Week 8

28 Nov

[15/60]

 

Booklists

Please see the Booklist for Group C Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P8

Ability to apply engineering techniques taking account of a range of commercial and industrial constraints.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 27/11/2018 15:24

Engineering Tripos Part IIB, 4C7: Random & Non-Linear Vibrations, 2020-21

Module Leader

Prof AA Seshia

Lecturers

Prof AA Seshia and Prof D Cebon

Lab Leader

Prof AA Seshia

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3C6 useful.

Aims

The aims of the course are to:

  • analyse the effects of random vibrations on machines and structures and the effects that occur as a result of non-linearities.
  • describe the characteristics of random and non linear vibrations, deriving the effects of a system's dynamic response on the input and giving methods of determining resulting deflections or stresses.
  • describe some of the characteristics of self excited vibrations.

Objectives

As specific objectives, by the end of the course students should be able to:

  • identify and describe random processes.
  • predict the output from a system subjected to random forcing.
  • predict how frequently output levels will be exceeded.
  • apply the correct windows and filters for analysis.
  • assess the reliability of frequency analyses.
  • understand the effects of non-linearities on system response.
  • calculate and use describing functions and harmonic balance.
  • predict phase-plane behaviour of second-order systems.
  • understand some of the common self excited vibrations and their characteristics.

Content

Non-linear and self-excited vibration. (6L, Dr A A Seshia )

  • Types of non-linearities in engineering systems and their major qualitative effects.   Method of harmonic balance, describing functions;
  • Representation of second-order nonlinear systems in the phase plane.  Stationary points and their classification.  Periodic orbits;
  • Introduction to self-excited vibration.  Examples of systems which are excited by instability and dry friction. Self excited oscillations in micro electromechanical systems.

Random vibration. (6L, Professor R S Langley)

  • Characteristics of random vibrations and the use of probability distributions and spectral densities to describe such vibration:
  • Auto and cross spectra. Transmission of random vibration through linear systems and derivation of output statistics and spectral densities;
  • Narrow-band processes and determination of level-crossing frequency, distribution of peaks and frequency of maxima;
  • Spectral analysis. Fourier transforms. Problems with sampling and relevance of aliasing. Calculation of spectra for sampled points;
  • Basic lag and use of windows and smoothing. Coherence. Accuracy of measurements.

Coursework

Coursework on non-linear vibrations. This involves a short lab, numerical modelling and simulation exercise, and 4 hours writing-up.

Coursework Format

Due date

& marks

Nonlinear vibration of a clamped beam

Learning objective:

(i) To explore nonlinear effects due to high forcing amplitudes about resonance in mechanical structures.

(ii) To construct a model to explain the nonlinear behaviour of the mechanism provided and use this model to simulate the behaviour of the system under specified conditions.

(iii) Demonstrate use of the sonogram (time-varying spectrum) as an analytical tool to distinguish both frequency and temporal characteristics of a transient record.

Individual

Report

Anonymously marked

Weds Week 8

2 Dec

[15/60]

 

Booklists

Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P8

Ability to apply engineering techniques taking account of a range of commercial and industrial constraints.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 04/05/2021 14:25

Engineering Tripos Part IIB, 4C7: Random & Non-Linear Vibrations, 2022-23

Module Leader

Prof AA Seshia

Lecturers

Prof AA Seshia and Prof D Cebon

Lab Leader

Prof AA Seshia

Timing and Structure

Michaelmas term. 12 lectures + 2 examples classes + coursework. Assessment: 75% exam/25% coursework

Prerequisites

3C6 useful.

Aims

The aims of the course are to:

  • analyse the effects of random vibrations on machines and structures and the effects that occur as a result of non-linearities.
  • describe the characteristics of random and non linear vibrations, deriving the effects of a system's dynamic response on the input and giving methods of determining resulting deflections or stresses.
  • describe some of the characteristics of self excited vibrations.

Objectives

As specific objectives, by the end of the course students should be able to:

  • identify and describe random processes.
  • predict the output from a system subjected to random forcing.
  • predict how frequently output levels will be exceeded.
  • apply the correct windows and filters for analysis.
  • assess the reliability of frequency analyses.
  • understand the effects of non-linearities on system response.
  • calculate and use describing functions and harmonic balance.
  • predict phase-plane behaviour of second-order systems.
  • understand some of the common self excited vibrations and their characteristics.

Content

Non-linear and self-excited vibration. (6L, Prof A A Seshia )

  • Types of non-linearities in engineering systems and their major qualitative effects.   Method of harmonic balance, describing functions;
  • Representation of second-order nonlinear systems in the phase plane.  Stationary points and their classification.  Periodic orbits;
  • Introduction to self-excited vibration.  Examples of systems which are excited by instability and dry friction. Self excited oscillations in micro electromechanical systems.

Random vibration. (6L, Professor D Cebon)

  • Characteristics of random vibrations and the use of probability distributions and spectral densities to describe such vibration:
  • Auto and cross spectra. Transmission of random vibration through linear systems and derivation of output statistics and spectral densities;
  • Narrow-band processes and determination of level-crossing frequency, distribution of peaks and frequency of maxima;
  • Spectral analysis. Fourier transforms. Problems with sampling and relevance of aliasing. Calculation of spectra for sampled points;
  • Basic lag and use of windows and smoothing. Coherence. Accuracy of measurements.

Coursework

Coursework on non-linear vibrations. This involves a short lab, numerical modelling and simulation exercise, and 4 hours writing-up.

Coursework Format

Due date

& marks

Nonlinear vibration of a clamped beam

Learning objective:

(i) To explore nonlinear effects due to high forcing amplitudes about resonance in mechanical structures.

(ii) To construct a model to explain the nonlinear behaviour of the mechanism provided and use this model to simulate the behaviour of the system under specified conditions.

(iii) Demonstrate use of the sonogram (time-varying spectrum) as an analytical tool to distinguish both frequency and temporal characteristics of a transient record.

Individual

Report

Anonymously marked

Weds Week 8

30 Nov

[15/60]

 

Booklists

Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P8

Ability to apply engineering techniques taking account of a range of commercial and industrial constraints.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

 
Last modified: 27/09/2022 10:59

Engineering Tripos Part IIB, 4C5: Design Case Studies, 2024-25

Module Leader

Prof. N Crilly

Lecturers

Prof. J Clarkson and Prof. N Crilly

Lab Leader

Prof. N Crilly

Timing and Structure

Lent term. 16 lecture slots, including lectures, group discussion and time for coursework. Assessment: 100% coursework. Lectures and discussions will be recorded.

Aims

The aims of the course are to:

  • illustrate the multi-disciplinary nature of engineering design
  • explore this multi-disciplinarity through diverse case studies.

Objectives

As specific objectives, by the end of the course students should be able to:

  • demonstrate the skills and knowledge listed under each coursework element.

Content

The course will be based on two case studies. Each case study will occupy eight lectures slots with approximately two in each case study being used for coursework. Notes will be distributed summarising the main points covered in each case study.

Coursework

There will be a coursework exercise linked to each of the case studies.

Coursework Format

Due date

& marks

Consumer Product

The purpose of this case study is to expose students to a research and development process for a design concept focussed on recreational use (sports, hobbies and pastimes).

Learning objectives:

After completing this coursework, students should be able to

  • research, analyse and describe the needs of users in specific product usage scenarios
  • analyse, develop and justify decisions about product form and function in relation to user preferences and branding constraints
  • analyse, develop and justify decisions about product form and function in relation to principles of physical and cognitive ergonomics.

One individual report,

anonymously marked

Approximately Week 5 (exact date TBD)

[30/60]

Industrial System

The purpose of this case study is to expose students to the complete design process for an inhaler test machine.

Learning objectives:

After completing this coursework, students should be able to

  • analyse and develop functional requirements for multi-disciplinary systems
  • identify solution principles and components from catalogues, and combine them to fulfil system requirements
  • identify and analyse risks associated with the development and delivery of multi-disciplinary systems.

Two individual reports.

Anonymously marked

Approximately Weeks 6 and 8 (exact date TBD)

 

 

Booklists

Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

D2

Understand customer and user needs and the importance of considerations such as aesthetics.

D4

Ability to generate an innovative design for products, systems, components or processes to fulfil new needs.

D6

Manage the design process and evaluate outcomes.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P4

Understanding use of technical literature and other information sources.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US3

An understanding of concepts from a range of areas including some outside engineering, and the ability to apply them effectively in engineering projects.

 
Last modified: 31/05/2024 10:02

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