NUMERICAL METHODS & CFD - 2021/2
Module code: ENG3165
In light of the Covid-19 pandemic, and in a departure from previous academic years and previously published information, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21.
These changes include the implementation of a hybrid teaching approach during 2020/21. Detailed information on all changes is available at: https://www.surrey.ac.uk/coronavirus/course-changes. This webpage sets out information relating to general University changes, and will also direct you to consider additional specific information relating to your chosen programme.
Prior to registering online, you must read this general information and all relevant additional programme specific information. By completing online registration, you acknowledge that you have read such content, and accept all such changes.
Third year module in numerical methods for engineering problems.
The module introduces the typical methods used in engineering practice to obtain numerical solutions to problems described by differential equations. MATLAB is used to allow the students to test the numerical methods on appropriate problems. The emphasis is on understanding the applicability and limitations of numerical methods often used in engineering software. The students use a computer-based tool to solve a simple engineering flow problem of interest to their discipline.
Mechanical Engineering Sciences
MARXEN Olaf (Mech Eng Sci)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 6
JACs code: G140
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
Indicative content includes:
- Introduction to numerical solution of fluid dynamics problems: conservation equations, Navier-Stokes, workflow for numerical solution methods.
- Partial differential equations: order, linearity and classification (elliptic, parabolic and hyperbolic equations).
- Finite difference methods (FDM): discretisation, grid and approximations; finite difference approximation for the first and second derivatives and their accuracy; numerical integration and quadrature; the concept of modified wave number.
- Explicit and implicit methods for the integration of ordinary differential equations.
- Analysis of numerical schemes: consistency, stability and convergence; Lax' equivalence theorem; von Neumann and Fourier analysis.
- Methods and combined analysis of spatio-temporal discretization for partial differential equations; amplitude and phase errors including numerical dispersion and diffusion; the convection-based CFL number and corresponding diffusion number.
- Introduction to the modelling process for fluids engineering
- Geometry modelling
- Grid generation techniques
- Discussion of solution methods, convergence and accuracy of flow solvers
- Computation of the Navier-Stokes equations: finite-volume discretization and pressure-velocity coupling
- Verification and validation
- The role of boundary conditions
- Brief overview of advanced CFD techniques
|Assessment type||Unit of assessment||Weighting|
|Coursework||NUMERICAL METHODS ASSIGNMENT||15|
The assessment strategy is designed to provide students with the opportunity to demonstrate understanding of the basic numerical methods as well as the ability to select appropriate methods and obtain numerical solutions to engineering problems. The CFD coursework assignment tests the students’ ability to obtain a solution to a flow problem using a computer-based tool and their awareness of the possible sources of error in the solution. The numerical methods coursework assignment tests the students’ ability to select an appropriate numerical method for an engineering problem and their ability to implement this solution method. The final examination assesses the students' theoretical knowledge of numerical methods and CFD, as well as their ability to solve simple problems.
Thus, the summative assessment for this module consists of:
- CFD assignment – [Learning outcomes 2,3] – 10 hours (15%)
- Numerical methods assignment [Learning outcomes 1,2] – 10 hours (15%)
- Examination [Learning outcomes 1,2] – 2 hours (70%)
Formative assessment and feedback
Formative verbal assessment is given in tutorials and lectures (through electronic voting sessions)
Written feedback is given on coursework assessments
- introduce the students to the numerical methods used for solution of engineering problems
- expand the students' programming skills in MATLAB to allow them to implement numerical methods for engineering problems
- provide the students with the criteria for the selection of appropriate methods and to critcally assess the validity of their solutions
- enable the students to understand the steps needed to compute a solution to a problem in fluid dynamics and to understand the possible sources of error in a computational fluid dynamics (CFD) simulation
- enable the students to use a computer-based tool to perform a simulation of a simple flow of engineering interest, including pre- and post-processing
|001||Select and implement an appropriate numerical method for common practical engineering problems (SM2b, SM2m, EA2, EA6m, EA3b, EA3m)||KCP|
|002||Understand the sources of error in a numerical solution and evaluate the validity of numerical solutions ) (EA2, SM2b, SM2m)||C|
|003||Solve a simple engineering flow problem using a computer-based tool (SM2b, SM2m, EA2, EA6m, EA3b, EA3m)||KCP|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Independent Study Hours: 108
Lecture Hours: 22
Tutorial Hours: 20
Methods of Teaching / Learning
The learning and teaching strategy is designed to introduce numerical methods and CFD through theory with worked examples carried out by the students. This is delivered through lectures and tutorial classes with the students conducting practical coursework assignments.
The learning and teaching methods include:
- 2 hours lectures per week (11 weeks = 22 hours)
- 2 hours tutorial per week (10 weeks = 20 hours)
- Coursework assignments (20 hours)
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list for NUMERICAL METHODS & CFD : http://aspire.surrey.ac.uk/modules/eng3165
Programmes this module appears in
|Aerospace Engineering BEng (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Automotive Engineering MEng||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Automotive Engineering BEng (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Automotive Engineering (Dual degree with HIT) BEng (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Mechanical Engineering BEng (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Mechanical Engineering MEng||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Aerospace Engineering MEng||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2021/2 academic year.