Engineering Tripos Part IIB, 4A3: Turbomachinery, 2021-22
Module Leader
Lecturers
Prof R.J. Miller and Dr L. Xu
Lab Leader
Prof R.J. Miller
Timing and Structure
Michaelmas term. 75% exam / 25% coursework. 12 lectures (including examples classes) + coursework
Prerequisites
3A1 and 3A3 assumed
Aims
The aims of the course are to:
- provide a general understanding of the principles that govern the design of axial flow and radial flow turbomachines.
Objectives
As specific objectives, by the end of the course students should be able to:
- understand the principles underpinning the study of turbomachine aerodynamics.
- know the requirements for different type of turbomachines.
- know the factors which influence the overall design of turbomachine stages and which influence the matching of components.
- know the factors which influence overall design of turbomachines for propulsion and stationary power-plant applications.
- evaluate the performance of turbine and compressor bladerows and stages using mean-line analyses.
- select a design for a given duty.
- present and understand information on stage and machine design.
- describe and understand compressor off-design performance.
- analyse the performance of propulsion systems and stationary power plant.
Content
Applications and Characteristics of Turbomachines (12L, Prof. RJ Miller and Dr LP Xu)
- Stage design and choice of design parameters.
- Specific speed, dynamic scaling and measures of efficiency.
- Analysis of the mean-line flow in compressors and turbines.
- Radial flow turbomachines.
- Characteristics of compressors, pumps and turbines.
- Matching of components: compressors and turbines; nozzles, throttles and diffusers. Compressor off-design problems; stall and its consequences.
- Application of turbomachines: power plant and aircraft propulsion systems.
Coursework
| Coursework | Format |
Due date & marks |
|---|---|---|
|
Cascade Experiment Testing of a turbine cascade in a small wind tunnel to measure the blade surface pressure distribution, loss coefficient and flow exit angle. Time required: About 3 hours in the lab plus 4 hours write up. Learning objectives:
|
Experimental work done in pairs. Individual report. Anonymously marked. |
Reports are due 2 weeks after the date of the experiment. [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.
D1
Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.
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.
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: 01/10/2021 10:41
Engineering Tripos Part IIB, 4A3: Turbomachinery, 2024-25
Module Leader
Lecturers
Prof R.J. Miller and Dr J. Taylor
Lab Leader
Dr J. Taylor
Timing and Structure
Michaelmas term. 75% exam / 25% coursework. 12 lectures (including examples classes) + coursework
Prerequisites
3A1 and 3A3 assumed
Aims
The aims of the course are to:
- provide a general understanding of the principles that govern the design of axial flow and radial flow turbomachines.
Objectives
As specific objectives, by the end of the course students should be able to:
- understand the principles underpinning the study of turbomachine aerodynamics.
- know the requirements for different type of turbomachines.
- know the factors which influence the overall design of turbomachine stages and which influence the matching of components.
- know the factors which influence overall design of turbomachines for propulsion and stationary power-plant applications.
- evaluate the performance of turbine and compressor bladerows and stages using mean-line analyses.
- select a design for a given duty.
- present and understand information on stage and machine design.
- describe and understand compressor off-design performance.
- analyse the performance of propulsion systems and stationary power plant.
Content
Applications and Characteristics of Turbomachines (12L, Prof. RJ Miller and Dr J. Taylor)
- Stage design and choice of design parameters.
- Specific speed, dynamic scaling and measures of efficiency.
- Analysis of the mean-line flow in compressors and turbines.
- Radial flow turbomachines.
- Characteristics of compressors, pumps and turbines.
- Matching of components: compressors and turbines; nozzles, throttles and diffusers. Compressor off-design problems; stall and its consequences.
- Application of turbomachines: power plant and aircraft propulsion systems.
Coursework
| Coursework | Format |
Due date & marks |
|---|---|---|
|
Cascade Experiment Testing of a turbine cascade in a small wind tunnel to measure the blade surface pressure distribution, loss coefficient and flow exit angle. Time required: About 3 hours in the lab plus 4 hours write up. Learning objectives:
|
Experimental work done in pairs. Individual report. Anonymously marked. |
Reports are due 2 weeks after the date of the experiment. [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.
D1
Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.
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.
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: 31/05/2024 09:57
Engineering Tripos Part IIB, 4A3: Turbomachinery, 2019-20
Module Leader
Lecturers
Prof W.N. Dawes and Prof Rob Miller
Lab Leader
Timing and Structure
Michaelmas term. 75% exam / 25% coursework. 12 lectures (including examples classes) + coursework
Prerequisites
3A1 and 3A3 assumed
Aims
The aims of the course are to:
- provide a general understanding of the principles that govern the design of axial flow and radial flow turbomachines.
Objectives
As specific objectives, by the end of the course students should be able to:
- understand the principles underpinning the study of turbomachine aerodynamics.
- know the requirements for different type of turbomachines.
- know the factors which influence the overall design of turbomachine stages and which influence the matching of components.
- know the factors which influence overall design of turbomachines for propulsion and stationary power-plant applications.
- evaluate the performance of turbine and compressor bladerows and stages using mean-line analyses.
- select a design for a given duty.
- present and understand information on stage and machine design.
- describe and understand compressor off-design performance.
- analyse the performance of propulsion systems and stationary power plant.
Content
Applications and Characteristics of Turbomachines (12L, Prof. WN Dawes and Dr LP Xu)
- Stage design and choice of design parameters.
- Specific speed, dynamic scaling and measures of efficiency.
- Analysis of the mean-line flow in compressors and turbines.
- Radial flow turbomachines.
- Characteristics of compressors, pumps and turbines.
- Matching of components: compressors and turbines; nozzles, throttles and diffusers. Compressor off-design problems; stall and its consequences.
- Application of turbomachines: power plant and aircraft propulsion systems.
Coursework
| Coursework | Format |
Due date & marks |
|---|---|---|
|
Cascade Experiment Testing of a turbine cascade in a small wind tunnel to measure the blade surface pressure distribution, loss coefficient and flow exit angle. Time required: About 3 hours in the lab plus 4 hours write up. Learning objectives:
|
Experimental work done in pairs. Individual report. Anonymously marked. |
Reports are due 2 weeks after the date of the experiment. [15/60] |
Booklists
Please see the Booklist for Group A 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.
D1
Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.
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.
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: 22/10/2019 10:04
Engineering Tripos Part IIB, 4A3: Turbomachinery, 2022-23
Module Leader
Lecturers
Prof R.J. Miller and Dr J. Taylor
Lab Leader
Dr J. Taylor
Timing and Structure
Michaelmas term. 75% exam / 25% coursework. 12 lectures (including examples classes) + coursework
Prerequisites
3A1 and 3A3 assumed
Aims
The aims of the course are to:
- provide a general understanding of the principles that govern the design of axial flow and radial flow turbomachines.
Objectives
As specific objectives, by the end of the course students should be able to:
- understand the principles underpinning the study of turbomachine aerodynamics.
- know the requirements for different type of turbomachines.
- know the factors which influence the overall design of turbomachine stages and which influence the matching of components.
- know the factors which influence overall design of turbomachines for propulsion and stationary power-plant applications.
- evaluate the performance of turbine and compressor bladerows and stages using mean-line analyses.
- select a design for a given duty.
- present and understand information on stage and machine design.
- describe and understand compressor off-design performance.
- analyse the performance of propulsion systems and stationary power plant.
Content
Applications and Characteristics of Turbomachines (12L, Prof. RJ Miller and Dr J. Taylor)
- Stage design and choice of design parameters.
- Specific speed, dynamic scaling and measures of efficiency.
- Analysis of the mean-line flow in compressors and turbines.
- Radial flow turbomachines.
- Characteristics of compressors, pumps and turbines.
- Matching of components: compressors and turbines; nozzles, throttles and diffusers. Compressor off-design problems; stall and its consequences.
- Application of turbomachines: power plant and aircraft propulsion systems.
Coursework
| Coursework | Format |
Due date & marks |
|---|---|---|
|
Cascade Experiment Testing of a turbine cascade in a small wind tunnel to measure the blade surface pressure distribution, loss coefficient and flow exit angle. Time required: About 3 hours in the lab plus 4 hours write up. Learning objectives:
|
Experimental work done in pairs. Individual report. Anonymously marked. |
Reports are due 2 weeks after the date of the experiment. [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.
D1
Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.
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.
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: 28/09/2022 14:08
Engineering Tripos Part IIB, 4A3: Turbomachinery, 2017-18
Module Leader
Lecturers
Dr N Atkins and Dr T Hynes
Lab Leader
Dr T Hynes
Timing and Structure
Michaelmas term. 75% exam / 25% coursework. 12 lectures (including examples classes) + coursework
Prerequisites
3A1 and 3A3 assumed
Aims
The aims of the course are to:
- provide a general understanding of the principles that govern the design of axial flow and radial flow turbomachines.
Objectives
As specific objectives, by the end of the course students should be able to:
- understand the principles underpinning the study of turbomachine aerodynamics.
- know the requirements for different type of turbomachines.
- know the factors which influence the overall design of turbomachine stages and which influence the matching of components.
- know the factors which influence overall design of turbomachines for propulsion and stationary power-plant applications.
- evaluate the performance of turbine and compressor bladerows and stages using mean-line analyses.
- select a design for a given duty.
- present and understand information on stage and machine design.
- describe and understand compressor off-design performance.
- analyse the performance of propulsion systems and stationary power plant.
Content
Applications and Characteristics of Turbomachines (12L, Dr N R Atkins and Dr T P Hynes)
- Stage design and choice of design parameters.
- Specific speed, dynamic scaling and measures of efficiency.
- Analysis of the mean-line flow in compressors and turbines.
- Radial flow turbomachines.
- Characteristics of compressors, pumps and turbines.
- Matching of components: compressors and turbines; nozzles, throttles and diffusers. Compressor off-design problems; stall and its consequences.
- Application of turbomachines: power plant and aircraft propulsion systems.
Coursework
| Coursework | Format |
Due date & marks |
|---|---|---|
|
Cascade Experiment Testing of a turbine cascade in a small wind tunnel to measure the blade surface pressure distribution, loss coefficient and flow exit angle. Time required: About 3 hours in the lab plus 4 hours write up. Learning objectives:
|
Experimental work done in pairs. Individual report. Anonymously marked. |
Reports are due 2 weeks after the date of the experiment. [15/60] |
Booklists
Please see the Booklist for Group A 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.
D1
Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.
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.
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: 05/10/2017 00:04
Engineering Tripos Part IIB, 4A3: Turbomachinery, 2023-24
Module Leader
Lecturers
Prof R.J. Miller and Dr J. Taylor
Lab Leader
Dr J. Taylor
Timing and Structure
Michaelmas term. 75% exam / 25% coursework. 12 lectures (including examples classes) + coursework
Prerequisites
3A1 and 3A3 assumed
Aims
The aims of the course are to:
- provide a general understanding of the principles that govern the design of axial flow and radial flow turbomachines.
Objectives
As specific objectives, by the end of the course students should be able to:
- understand the principles underpinning the study of turbomachine aerodynamics.
- know the requirements for different type of turbomachines.
- know the factors which influence the overall design of turbomachine stages and which influence the matching of components.
- know the factors which influence overall design of turbomachines for propulsion and stationary power-plant applications.
- evaluate the performance of turbine and compressor bladerows and stages using mean-line analyses.
- select a design for a given duty.
- present and understand information on stage and machine design.
- describe and understand compressor off-design performance.
- analyse the performance of propulsion systems and stationary power plant.
Content
Applications and Characteristics of Turbomachines (12L, Prof. RJ Miller and Dr J. Taylor)
- Stage design and choice of design parameters.
- Specific speed, dynamic scaling and measures of efficiency.
- Analysis of the mean-line flow in compressors and turbines.
- Radial flow turbomachines.
- Characteristics of compressors, pumps and turbines.
- Matching of components: compressors and turbines; nozzles, throttles and diffusers. Compressor off-design problems; stall and its consequences.
- Application of turbomachines: power plant and aircraft propulsion systems.
Coursework
| Coursework | Format |
Due date & marks |
|---|---|---|
|
Cascade Experiment Testing of a turbine cascade in a small wind tunnel to measure the blade surface pressure distribution, loss coefficient and flow exit angle. Time required: About 3 hours in the lab plus 4 hours write up. Learning objectives:
|
Experimental work done in pairs. Individual report. Anonymously marked. |
Reports are due 2 weeks after the date of the experiment. [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.
D1
Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.
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.
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: 30/05/2023 15:24
Engineering Tripos Part IIB, 4A3: Turbomachinery, 2025-26
Module Leader
Lecturers
Prof R.J. Miller and Dr J. Taylor
Lab Leader
Dr J. Taylor
Timing and Structure
Michaelmas term. 75% exam / 25% coursework. 12 lectures (including examples classes) + coursework
Prerequisites
3A1 and 3A3 assumed
Aims
The aims of the course are to:
- provide a general understanding of the principles that govern the design of axial flow and radial flow turbomachines.
Objectives
As specific objectives, by the end of the course students should be able to:
- understand the principles underpinning the study of turbomachine aerodynamics.
- know the requirements for different type of turbomachines.
- know the factors which influence the overall design of turbomachine stages and which influence the matching of components.
- know the factors which influence overall design of turbomachines for propulsion and stationary power-plant applications.
- evaluate the performance of turbine and compressor bladerows and stages using mean-line analyses.
- select a design for a given duty.
- present and understand information on stage and machine design.
- describe and understand compressor off-design performance.
- analyse the performance of propulsion systems and stationary power plant.
Content
Applications and Characteristics of Turbomachines (12L, Prof. RJ Miller and Dr J. Taylor)
- Stage design and choice of design parameters.
- Specific speed, dynamic scaling and measures of efficiency.
- Analysis of the mean-line flow in compressors and turbines.
- Radial flow turbomachines.
- Characteristics of compressors, pumps and turbines.
- Matching of components: compressors and turbines; nozzles, throttles and diffusers. Compressor off-design problems; stall and its consequences.
- Application of turbomachines: power plant and aircraft propulsion systems.
Coursework
| Coursework | Format |
Due date & marks |
|---|---|---|
|
Cascade Experiment Testing of a turbine cascade in a small wind tunnel to measure the blade surface pressure distribution, loss coefficient and flow exit angle. Time required: About 3 hours in the lab plus 4 hours write up. Learning objectives:
|
Experimental work done in pairs. Individual report. Anonymously marked. |
Reports are due 2 weeks after the date of the experiment. [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.
D1
Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.
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.
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: 04/06/2025 13:24
Engineering Tripos Part IIB, 4A2: Computational Fluid Dynamics, 2022-23
Module Leader
Lecturer
Dr J Li
Lab Leader
Dr J Li
Leader
Timing and Structure
Michaelmas term. In-person lectures and demonstrations. Coursework with integrated lectures. Assessment: 100% coursework.
Prerequisites
3A1 and 3A3 assumed. Pre-module reading about Fortran helpful
Aims
The aims of the course are to:
- provide an introduction to the field of computational fluid mechanics.
- help students develop an understanding of how numerical techniques are devised.
- implement these techniques in practical computer codes.
- overview the nature of simulation in the future and advanced methods.
Objectives
As specific objectives, by the end of the course students should be able to:
- formulate numerical approximations to partial differential equations.
- write computer programs for solving the resulting difference equations.
- learn modern TVD shock-capturing methods.
- appreciate the power of numerical solutions to predict complex flows, including shock waves.
Content
This is a course work based project. The students have to write a Computational Fluid Dynamics (CFD) program - in Euler mode with time marching. There is also some basic mesh generation, preprocessing and post processing tasks. The assessment is through two reports. The first report demonstrates the performance of a basic CFD program and studies basic properties of finite difference methods. This needs to be handed in week 6 of the Michaelmas term. The 2nd report demonstrates the coding and performance of more advanced CFD algorithms with discussion on a selected advanced CFD topic. The performance and traits of the extended CFD code are contrasted with expected traits for a range of subsonic and transonic flows. The final report is handed in at the end of the Michaelmas term.
Introduction and Basic Numerical Concepts (2L)
- The proper use of CFD and the equations used
- Finite difference, finite volume, finite element approaches
- Difference scheme and molecules
- Stability, Dispersion and Diffusion errors, Cell Re
- Compressible Flows vs Incompressible Flows
- Single Phase Flows vs Multiphase Flows
- Turbulence Modelling, Adaptive Methods and Parallel Computing
Modern Shock-Capturing Methods for Time-Dependent Compressible Flows (6L)
- Euler Equations and Hyperbolicity
- The Upwinding Method for Advection
- Godunov's Method for Linear System
- Total Variation Diminishing (TVD) Methods
- High-Resolution Methods and Limiters
- Approximate Riemann Solvers
- Roe Solver for Euler Equations
Coursework
Progress Check/Brief Report/Week 6 of Michaelmas term [25%]
Coursework/Report/1 Week after end of Michaelmas term [75%]
Mesh Generation and Preprocessing (Coursework: approx 2 hours)
- Conversion to Fortran; examples of Fortran programs
- Mesh generation for simplified geometries (eg bend, nozzle, hump, airfoil)
- Preprocessing
2-D Euler, Time Marching CFD Program
(Coursework: 5 mini-exercises of about 2-4 hours each, forming a 16 hour mini-project)
- Finite volume discretisation, evaluation of fluxes. (4h)
- Application of boundary conditions. (2h)
- Time Iteration, simple LAX method. (2h)
- Convergence & accuracy testing. (4h)
- Enhancements, e.g. deferred corrections, Adams - Bashforth RK integration, use of energy equation. (4h)
- Exploration of post-processing
| Coursework | Format |
Due date & marks |
|---|---|---|
|
[Coursework activity #1 title / Interim] Coursework 1 brief description Learning objective:
|
Individual Report anonymously marked |
day during term, ex: Thu week 6 [25%] |
|
[Coursework activity #2 title / Final] Coursework 2 brief description Learning objective:
|
Individual Report anonymously marked |
Fri week 10 [75%] |
Booklists
Please refer to the Booklist for Part IIB Courses for references to this module, this can be found on the associated Moodle course.
Main course text is:
LeVeque R. J. 2002. Finite Volume Methods for Hyperbolic Problems, Cambridge University Press.
Also, useful material can be found in these texts.
Ferziger J. H. and Peric M. 2002. Computational Methods for Fluid Dynamics, Springer.
Toro E. F. 2009. Riemann Solvers and Numerical Methods for Fluid Dynamics: A Practical Introduction, Springer
Hirsch C. 1988-1990 Numerical Computation of Internal and External Flows, Volumes 1 and 2, Wiley
Davies R., Rea A. and Tsaptsinos D. Introduction to FORTRAN 90, Student Notes, Queen's University, Belfast
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.
Knowledge and Understanding
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.
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.
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: 08/02/2023 14:50
Engineering Tripos Part IIB, 4A2: Computational Fluid Dynamics, 2019-20
Module Leader
Lecturer
Dr J Li
Lab Leader
Timing and Structure
Michaelmas term. Coursework with integrated lectures. Assessment: 100% coursework.
Prerequisites
3A1 and 3A3 assumed. Pre-module reading about Fortran helpful
Aims
The aims of the course are to:
- provide an introduction to the field of computational fluid mechanics.
- help students develop an understanding of how numerical techniques are devised.
- implement these techniques in practical computer codes.
- overview the nature of simulation in the future and advanced methods relating to this
Objectives
As specific objectives, by the end of the course students should be able to:
- formulate numerical approximations to partial differential equations.
- write computer programs for solving the resulting difference equations.
- learn modern TVD shock-capturing methods.
- appreciate the power of numerical solutions to predict complex flows, including shock waves.
- develop the critical skills necessary to respond to and audit simulations produced by CFD for complex flow problems.
Content
This is a course work based project. The students have to write a Computational Fluid Dynamics (CFD) program - in Euler mode with time marching. There is also some basic mesh generation, preprocessing and post processing tasks. The assessment is through two reports. The first report demonstrates the performance of a basic CFD program and some discussion on general aspects of CFD. This needs to be handed in week 6 of the Michaelmas term. The 2nd report demonstrates the coding and performance of more advanced CFD algorithms with discussion on a selected advanced CFD topic. The performance and traits of the extended CFD code are contrasted with expected traits for a range of subsonic and transonic flows. The final report is handed in at the end of the Michaelmas term. The course also allows for some creativity through the design of novel algorithmic approaches.
Introduction and Basic Numerical Concepts (2L)
- The proper use of CFD and the equations used
- Finite difference, finite volume, finite element approaches
- Difference scheme and molecules
- Stability, Dispersion and Diffusion errors, Cell Re
- Compressible Flows vs Incompressible Flows
- Single Phase Flows vs Multiphase Flows
- Turbulence Modelling, Adaptive Methods and Parallel Computing
Modern Shock-Capturing Methods for Time-Dependent Compressible Flows (6L)
- Euler Equations and Hyperbolicity
- The Upwinding Method for Advection
- Godunov's Method for Linear System
- Total Variation Diminishing (TVD) Methods
- High-Resolution Methods and Limiters
- Approximate Riemann Solvers
- Roe Solver for Euler Equations
Coursework
Progress Check/Brief Report/Week 6 of Michaelmas term [25%]
Coursework/Report/1 Week after end of Michaelmas term [75%]
Mesh Generation and Preprocessing (Coursework: approx 2 hours)
- Conversion to Fortran; examples of Fortran programs
- Mesh generation for simplified geometries (eg bend, nozzle, hump, airfoil)
- Preprocessing
2-D Euler, Time Marching CFD Program
(Coursework: 5 mini-exercises of about 2-4 hours each, forming a 16 hour mini-project)
- Finite volume discretisation, evaluation of fluxes. (4h)
- Application of boundary conditions. (2h)
- Time Iteration, simple LAX method. (2h)
- Convergence & accuracy testing. (4h)
- Enhancements, e.g. deferred corrections, Adams - Bashforth RK integration, use of energy equation. (4h)
- Exploration of post-processing
| Coursework | Format |
Due date & marks |
|---|---|---|
|
[Coursework activity #1 title / Interim] Coursework 1 brief description Learning objective:
|
Individual Report anonymously marked |
day during term, ex: Thu week 6 [25%] |
|
[Coursework activity #2 title / Final] Coursework 2 brief description Learning objective:
|
Individual Report anonymously marked |
Fri week 10 [75%] |
Booklists
Please see the Booklist for Group A Courses for references for this module.
Main course text is:
LeVeque R. J. 2002. Finite Volume Methods for Hyperbolic Problems, Cambridge University Press.
Also, useful material can be found in these texts.
Ferziger J. H. and Peric M. 2002. Computational Methods for Fluid Dynamics, Springer.
Toro E. F. 2009. Riemann Solvers and Numerical Methods for Fluid Dynamics: A Practical Introduction, Springer
Hirsch C. 1988-1990 Numerical Computation of Internal and External Flows, Volumes 1 and 2, Wiley
Davies R., Rea A. and Tsaptsinos D. Introduction to FORTRAN 90, Student Notes, Queen's University, Belfast
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.
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.
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: 21/09/2019 12:34
Engineering Tripos Part IIB, 4A2: Computational Fluid Dynamics, 2025-26
Module Leader
Lab Leader
Timing and Structure
Michaelmas term. In-person lectures and demonstrations. Coursework with integrated lectures. Assessment: 100% coursework.
Prerequisites
3A1 and 3A3 assumed. Pre-module reading about Fortran helpful
Aims
The aims of the course are to:
- Provide an introduction to the field of computational fluid mechanics.
- Develop an understanding of how numerical techniques are devised.
- Implement these techniques in a practical computer program.
- Overview the nature of simulation in the future and advanced methods.
Objectives
As specific objectives, by the end of the course students should be able to:
- Formulate numerical approximations to partial differential equations.
- Write computer programs for solving the resulting difference equations and processing their solutions.
- Learn about modern methods to improve simulation accuracy.
- Appreciate the capabilities of numerical methods to predict complex flows.
Content
This is a coursework based project. The students write a Computational Fluid Dynamics (CFD) program to solve the Euler equations in 2D with time marching. There are also some basic mesh generation, pre-processing and post-processing tasks. The assessment is through two reports: The first report demonstrates the performance of a basic CFD program and studies basic properties of finite differencing methods. This is to be submitted in Week 6 of the Michaelmas term. The 2nd report demonstrates the coding and performance of more advanced CFD algorithms with discussion on a selected advanced CFD topic. The performance and traits of the extended CFD code are contrasted with expected traits for a range of subsonic, transonic and supersonic flows. The final report is submitted after the end of the Michaelmas term in Week 10.
Writing a CFD Solver and Numerical Concepts (5L)
- The proper use of CFD and the equations used for compressible flows
- Finite difference, finite volume, finite element approaches
- Program specification and structure
- Difference schemes, stability, dispersion and diffusion errors
- Turbulence modelling, adaptive methods, multi-phase flows and parallel computing
- Hyperbolicity and the upwinding method for advection
- Total variation diminishing (TVD) methods
Coursework
Brief Progress Check Report / Week 6 of Michaelmas term [25%]
Complete Final Report / Week 10 after end of Michaelmas term [75%]
The entire module is expected to take around 80 hours, similar to other exam based modules. It includes:
- 5 hours of lectures
- Approximately 50 hours of demonstrated sessions, you are not expected to attend all and attendance is not recorded
- Report writing
The demonstrated sessions will help you with:
- Examples of basic Fortran programs
- Mesh generation for simplified geometries
- Constructing an initial flowfield guess
- Finite volume discretisation, evaluation of fluxes
- Application of boundary conditions
- Time marching, simple LAX method
- Convergence & accuracy testing
- Solver enhancements to investigate a choice of challenging test cases
- Post-processing to produce final report data
| Coursework | Format |
Due date & marks |
|---|---|---|
|
[Coursework activity #1 / Interim] Coursework 1 brief description Learning objective:
|
Individual Report anonymously marked |
Thu week 6 [25%] |
|
[Coursework activity #2 / Final] Coursework 2 brief description Learning objective:
|
Individual Report anonymously marked |
Wed week 10 [75%] |
Booklists
Main course text is:
LeVeque R. J. 2002. Finite Volume Methods for Hyperbolic Problems, Cambridge University Press.
Also, useful material can be found in these texts:
Ferziger J. H. and Peric M. 2002. Computational Methods for Fluid Dynamics, Springer.
Toro E. F. 2009. Riemann Solvers and Numerical Methods for Fluid Dynamics: A Practical Introduction, Springer
Hirsch C. 1988-1990 Numerical Computation of Internal and External Flows, Volumes 1 and 2, Wiley
Davies R., Rea A. and Tsaptsinos D. Introduction to FORTRAN 90, Student Notes, Queen's University, Belfast
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.
Knowledge and Understanding
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.
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.
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: 04/06/2025 13:24
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