Developing a multi-objective multi-disciplinary robust design optimization framework

Document Type : Article

Authors

1 Aerospace Research Institute, Ministry of Science, Research and Technology, Tehran, Iran

2 Department of Mechanical Engineering, Tarbiat Modares University, Tehran, P.O. Box 14665-834, Iran

Abstract

The purpose of this study is to provide an efficient Multi-Objective Multidisciplinary Robust Design Optimization (MOMRDO) framework. To this end, Bi-Level Integrated System Synthesis (BLISS) framework is implemented as a fast Multi-disciplinary Design Optimization (MDO) framework. Progressive Latin Hypercube Sampling (PLHS) is developed as a Design of Experiment (DOE) of the Uncertainty Analysis (UA). This systematic approach leads to a fast, adaptive and efficient framework for Robust Design Optimization (RDO) of complex systems. The accuracy and performance of the proposed algorithm have been evaluated with various tests. Finally, the RDO of a hydrazine monopropellant thruster is defined as a case study. The results show that the proposed method is a fast and efficient method for the multi-objective optimization design of complex systems, and this approach can be used for other engineering applications as well.

Keywords


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Volume 28, Issue 4
Transactions on Mechanical Engineering (B)
July and August 2021
Pages 2150-2163
  • Receive Date: 25 January 2020
  • Revise Date: 13 July 2020
  • Accept Date: 10 March 2021