The Design element of the Advanced Modelling and Design Module requires you to investigate advanced methods of engineering design optimisation. You will adopt the role of a professional engineer who is required to investigate optimisation methods then apply a method to an engineering problem in a combination as allocated in Table 1. The application of the method to the problem will be clearly communicated in a detailed technical paper.
1.1 Learning Outcomes
The overall aim is to reinforce awareness of advances in- and constraints on engineering design and the general Learning Outcomes to be developed are:
(a) The ability to independently research, apply and present technical information clearly.
(b) Knowledge in the use of CAE software in the application and optimisation of engineering design.
(c) Cognitive skills in making recommendations for advanced engineering design methods in a professional context.
1.2 Outline Plan
Key dates for the assignment are shown later in this document. Lecture plans showing industry speakers, which may be subject to change, are updated on Blackboard Learn.
(a) Design assignment issued in week 7. Investigate problems of interest to you.
(b) Key lectures on specific optimisation methods weeks 7-12.
(c) Deadline for 3 method/problem combinations application in week 11 = one per slide applied to simple problem, which is used in the allocation process.
(d) Method/problem combination allocation finalised in week 12.
(e) Progress meetings in weeks 16-25 (see Term 2 Plan):
Attendance at relevant problem session and method session is essential.
Progress #1 = see Section 3 for dates.
Progress #2 = see Section 3 for dates.
(f) Report submitted in week 25 = see L5 assignment deadlines.
Imagine that you have been asked to produce a technical report on a design optimisation search method applied to an allotted problem for a company conference on ‘Optimisation in Engineering Design’, which will subsequently be used by other engineers and will therefore demonstrate at least the following:
(a) Detailed knowledge of how to apply the allocated optimisation search method in the optimisation of an allocated engineering problem, clarifying the design constraints and how they are dealt with.
(b) Clarity in how data was generated and the analysis performed when applying the search method to the engineering problem.
(c) You must ensure that the use of software does not detract from clearly explaining how the method is applied to the problem.
2.2 Three Problem/Method Selections
Select three problem/optimisation method(s) combinations from Table 1 according to the following:
• Your three choices must contain at least two method series and at least two problems.
• Choose problems that you have judged you can tackle in the time available.
• Satisfy yourself that each method selected is viable for the selected problems and that you have understood the methods sufficiently to have applied them to a simple problem, e.g. piston pin.
• Each problem choice must select a different method series, e.g., Selecting ProbA/D01 means that unless you use the ‘wild card’ symbol * for method, e.g. ProbA/D** (which means that you are happy to be allocated any D-series method) then ProbA/D02 and ProbA/D03 cannot be selected together but ProbA/T02 can be selected. ProbB/D01 can also be selected. Using * only counts as one of your choices but you can only use it for one method series. It will be assumed that you are happy to be allocated any one of your three choices.
2.3 One Problem-Method Allocation
You will be allocated to a unique problem-method combination (Table 1) by the Module Leader and may only report on this authorised combination, as published in later Blackboard versions of this document.
2.4 Engineering Data
In optimising the problem you must generate the required data from your own analysis or simulation – data must not be taken from other sources. You are not required to integrate software packages, e.g. MATLAB driving ANSYS – use them separately. Where relevant, only Matlab, Excel or other files used for implementing the actual optimisation method are to be appendices to the electronic report. No need to attach CAE files of the problem object (but screen shots if they are informative).
KNOWING WHICH BUTTONS TO PRESS IN PROPRIETARY SOFTWARE IS FAR LESS IMPORTANT THAN
DEMONSTRATING UNDERSTANDING OF THE METHOD THROUGH A MORE ‘MANUAL APPROACH’.
2.5 Reference Material
Research your allocated method from a wide selection of scholarly sources. You are expected to undertake full library searches. All sources must be identified and listed in a references section of the report.
Wikipedia is NOT to be listed in your references – it can only be used to begin your search. Company and non-refereed web sources are to form the minority of your references. Conference proceedings, books and journal papers (electronic or paper) should form the majority of your references. Relevant journals include but are not limited to:
(i) Journal of Engineering Optimization
(ii) Journal of Optimization Theory and Applications
(iii) Structural and Multidisciplinary Optimization Journal
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