Department of Mechanical and Construction Engineering

Faculty of Engineering and Environment

Coursework Specification - 002

1 Module Information

1.1 Module Title

Multidisciplinary Design & Engineering Optimisation

1.2 Module Code

KB7043

1.3 Module Level and Credit Points

Level 7, 20 Credits

1.4 Module Leader

Dr. Madeleine L Combrinck

1.5 Coursework Title

Coursework Component 002

1.6 Coursework Specification Author

Dr. Madeleine L Combrinck

1.7 Academic Year and Semester(s)

SEM2 2020

2.1 Release Date of Coursework Specification to Students
2 Coursework Submission and Feedback

12:00 GMT on 25 January 2021

2.2 Mechanism Used to Disseminate Coursework Specification to Students

Assessment and Submission folder on Blackboard module

2.3 Date and Time of Submission of Coursework by Students

12:00 GMT on 6 May 2021

2.4 The mechanism for Submission of Coursework by Students

Turnitin digital submission portal in Assessment and Submission folder on Blackboard module

2.5 Return Date of Unconfirmed Internally Moderated Mark(s) and Feedback to Students

12:00 GMT on 6 June 2021

2.6 The mechanism for Return of Unconfirmed Internally Moderated Mark(s) and Feedback to Students

Turnitin digital submission portal and/or My Grades on Blackboard module

3 Assessment Details

3.1 Module Learning Outcomes (MLOs) Assessed by Coursework

Knowledge & Understanding:

1. A systematic understanding of knowledge which is at the forefront of modern engineering design and optimisation

2. Knowledge of conducting essential calculations for reliability driven design and design under uncertainties

Intellectual / Professional skills & abilities:

3. Ability to plan design optimisation processes for complex engineering problems and to formulate their corresponding optimisation problem and identifying the best applicable search method

4. Skill of using optimisation methods to find the optimum solution for a given optimisation problem and develop critiques of the methods and the optimality of the solution

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):

5. Increase proficiency in applying new design and optimisation techniques towards designing products and processes with improved performance and less environmental impact.

3.2 Coursework Overview

The waste heat from an organic rankine cycle is used as activation energy in a biodigestor as shown in the figure below.

Design an optimised heat exchanger to facilitate heat transfer between the organic rankine cycle and the biodigester. Make use of ANSYS Workbench, ANSYS Fluent and ANSYS DesignXplorer to conduct the study. Investigate the effect of uncertainty in the design parameters on the performance of the heat exchanger using the Six Sigma Analysis from the ANSYS DesignXplorer toolbox.

Each student will have a unique set of data provided to them by the module tutor. This unique data set includes:

The working fluid (fluid 2) entering the biodigester is water and must not exceed 38 °C.

• the atmospheric temperature
• working fluid 1 specification
• working fuild 1 inlet temperature

IMPORTANT – Assignment 1 and 2 explore the same problem using different tools and approaches of optimisation. These are two separate reports with unique objectives. You are NOT allowed to reuse material from Assignment Submission 1 in Assignment Submission 2 and vice versa. Doing this is self plagiarism and will be considered academic misconduct.

3.3 Coursework Tasks to be Completed by Students

The following tasks are to be completed on the chosen design problem:

• Provide a description of the design. Include a drawing/sketch/model of the heat exchanger clearly showing the parameters.
• Discuss the model setup in ANSYS Workbench indicating the diffirent steps required to perform the analysis. Explain how the response surface is created focusing on the theory of generating reduced order meta-models.
• Present and interpret the results obtained from the response surface.
• Present and interpret the results obtained from the response surface optimisation. Clearly indicate the implications for the design and the optimal values of the selected parameters
• Investigate the range of performance as the design and operating parameters vary by performing a Six Sigma Analysis in ANSYS Workbench.
• Conclude the report with the major findings.

3.4 Expected Size of Submission

The main body of the report shall be no more than 15 A4 pages from the introduction to conclusion with single line spacing, 11pt Calibri (Body) font.

3.5 Referencing Style

You are to write your coursework using the Cite Them Right version of the IEEE referencing system. An online guide to Cite Them Right is freely available to Northumbria University students at https://www.citethemrightonline.com/. A guide to the IEEE referencing system with practical examples is available at https://ieeeauthorcenter.ieee.org/wp-content/uploads/IEEE-Reference-Guide.pdf.

3.6 Assessment Criteria

Part	Component	Description	%
1	Introduction	Provide a description of the design. Explain the physical operation of the heat exchanger. Include a drawing/sketch/model of the heat exchanger clearly showing the parameters.	15
2	Methodology	Discuss the model setup in ANSYS Workbench indicating the diffirent steps required to perform the analysis. Explain how the response surface is created focusing on the theory of generating reduced order meta-models.	25
3	Response Surface	Present and interpret the results obtained from the response surface.	20
4	Response Surface Optimisation	Present and interpret the results obtained from the   response  surface  optimisation. Clearly indicate the implications for the design and the optimal values of the selected parameters.	15
5	Six Sigma Analysis	Investigate the range of performance as the design and operating parameters vary by performing a Six Sigma Analysis in ANSYS Workbench.	10
6	Conclusion	Conclude the report with the major findings.	5
7	General Presentation	Neatness    of   the    document,    spelling    and grammar, figures and tables, referencing,	10
Total			100%