Engineering design optimization using services and workflows

Author:

Crick Tom1,Dunning Peter2,Kim Hyunsun2,Padget Julian1

Affiliation:

1. Department of Computer Science, University of BathBath BA2 7AY, UK

2. Department of Mechanical Engineering, University of BathBath BA2 7AY, UK

Abstract

Multi-disciplinary design optimization (MDO) is the process whereby the often conflicting requirements of the different disciplines to the engineering design process attempts to converge upon a description that represents an acceptable compromise in the design space. We present a simple demonstrator of a flexible workflow framework for engineering design optimization using an e-Science tool. This paper provides a concise introduction to MDO, complemented by a summary of the related tools and techniques developed under the umbrella of the UK e-Science programme that we have explored in support of the engineering process. The main contributions of this paper are: (i) a description of the optimization workflow that has been developed in the Taverna workbench, (ii) a demonstrator of a structural optimization process with a range of tool options using common benchmark problems, (iii) some reflections on the experience of software engineering meeting mechanical engineering, and (iv) an indicative discussion on the feasibility of a ‘plug-and-play’ engineering environment for analysis and design.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evolutionary Scientific Workflows;2018 IEEE Congress on Evolutionary Computation (CEC);2018-07

2. Reproducibility in Research: Systems, Infrastructure, Culture;Journal of Open Research Software;2017-11-09

3. Multi-objective optimisation in scientific workflow;Procedia Computer Science;2017

4. Automated Optimization Methods for Workflow Execution;Computer Communications and Networks;2017

5. A new optimization phase for scientific workflow management systems;Future Generation Computer Systems;2014-07

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