The learning outcomes that are assessed by this coursework are:
1 Demonstrate proficiency in analysing advanced thermal cycles and heat transfer modes and their applications
2 Design and model heat and mass transfer on complex geometries using commercial or in-house computational codes and critically evaluate the results
Your marked coursework and feedback will be available to you on 30th May 2020
If for any reason this is not forthcoming by the due date your module leader will let you know why and when it can be expected. The Head of Studies (headofstudies [email protected] ) should be informed of any issues relating to the return of marked coursework and feedback. Note that you should normally receive feedback on your coursework by no later than 20 University working days after the formal hand-in date, provided that you have met the submission deadline
Late submission of coursework policy: Late submissions will be processed in accordance with current University regulations which state: “the time period during which a student may submit a piece of work late without authorisation and have the work capped at 40% [50% at PG level] if passed is 14 calendar days. Work submitted unauthorised more than 14 calendar days after the original submission date will receive a mark of 0%. These regulations apply to a student’s first attempt at coursework. Work submitted late without authorisation which constitutes reassessment of a previously failed piece of coursework will always receive a mark of 0%.”
Tasks to be undertaken:
The overall aim of this assignment is to demonstrate that you have a clear understanding of Thermal Analysis and Computational Fluid Dynamics (CFD) Methods, and the role these techniques play in development of heat and mass transfer systems, the benefits associated with their use and the problems and limitations encountered when using these methods. The above aim is to be achieved through a written report, not exceeding 3000 words.
CASE STUDY 1
In a heat recovery system, Cold water enters the counter-flow helical heat exchanger at Tc,in o C at
a rate of mA & kg/s, where it is used to recover heat from engine oil that enters the heat exchanger at Th,in o C at a rate of mB & kg/s. For the bench mark case use a pitch distance of 100mm for the helical coil.
Each student will generate 2 case studies - A bench mark case which corresponds to the boundary conditions in the table below – ( Use the row that matches the last ID of your student P No). And another case where you optimise the design and operation of the heat exchanger. The objective is to optimise the rate of heat transfer, within the constraints of 1m length and a fixed outer shell diameter of 250mm. Flow rates must be realistic!
You will need to work through the following steps
1. Geometry Creation: using Ansys Design Modeller or importing from other CAD software
such as Creo, Solidworks. etc
2. Meshing the geometry: (Mesh)
3. Setting the boundary conditions: (setup)
4. Performing the simulation (Solution): Ansys fluent solver (steady state calculation)
5. Post processing the results:
Aims/Objectives should be stated clearly and concisely Report should have clearly defined sections such as: Introduction, Review, Methodology, Results/ Discussion, Conclusions, References, etc.
Introduction/background Role of CFD and Computational Heat Transfer methods in modelling and design of thermo-fluid systems
The numerical methods used for convective heat transfer, combustion and fluid flow (CFD) and the latest development in these fields the basic theoretical principles underpinning modern computational Heat Transfer and CFD. Role of CFD and Computational Heat Transfer methods in modelling and design of thermo-fluid systems
MethodologyMesh convergence and boundary conditions Calculations to make decision and check results
Results and Discussion
Discussing results of your case study: briefly interpreting and discussing the results and comparing it to the bench mark.
General visualisation of the flow and temperature field may include: Contours of velocity, temperature, pressure and any other relevant parameter.
Vertical and axial profiles for velocity and temperature at specific location of interest Horizontal as well as cross-sectional images of velocity profiles coloured with other variables.
You should demonstrate understanding of theory of Navier-Stokes equation of motion and the various turbulence modelling used in CFD and in solving the 3D convective heat transfer equation (steady state only).
Discuss the benefits that can be gained from using modern CFD and Computational Heat Transfer methods
Discuss the limitations and problems associated with the use of CFD and Computational Heat Transfer methods.