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Published on: June 1, 2022
Engineering design optimization using services and workflows
Tom Crick1, Peter Dunning, Hyunsun Kim
1Department of Computer Science, University of Bath, Bath BA2 7AY, UK.
This study introduces a flexible workflow framework for multi-disciplinary design optimization (MDO) using e-Science tools. It demonstrates a structural optimization process, highlighting the integration of software and mechanical engineering for a
Area of Science:
- Engineering
- Computer Science
- Computational Science
Background:
- Multi-disciplinary design optimization (MDO) addresses conflicting requirements from different engineering disciplines.
- Existing MDO processes can be complex and lack flexibility.
- The UK e-Science programme has developed tools relevant to engineering design.
Purpose of the Study:
- To present a flexible workflow framework for MDO using e-Science tools.
- To demonstrate a structural optimization process within this framework.
- To explore the integration of software and mechanical engineering in design.
Main Methods:
- Development of an MDO workflow in the Taverna workbench.
- Implementation of a structural optimization demonstrator with various tool options.
- Utilizing common benchmark problems for validation.
Main Results:
- A functional MDO workflow framework was successfully developed and demonstrated.
- The demonstrator showcased a range of tool options for structural optimization.
- Insights were gained into the collaboration between software and mechanical engineering.
Conclusions:
- The developed framework offers a flexible approach to MDO.
- The 'plug-and-play' concept for engineering analysis and design environments is feasible.
- Integration of e-Science tools enhances MDO capabilities.
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