Progressive Latin Hypercube sampling-based robust design optimisation (PLHS-RDO)

ABSTRACT

The main purpose of this paper is to present a novel Robust Design Optimisation (RDO) strategy based on an efficient Uncertainty Analysis (UA) approach. To this end, a Progressive Latin Hypercube Sampling (PLHS) method was developed to derive the minimum samples for UA. The required sample size is calculated based on the convergence of the UA results. Therefore, UA is achieved by a variable sample size Design of Experiments (DOE). This systematic approach leads to an efficient, adaptive and fast framework for RDO. The proposed algorithm performance was validated by some numerical simulations methods on a benchmark function. In conclusion, the proposed methodology was utilised to the design of a hydrazine catalyst bed as a case study. The results of applied RDO in catalyst bed design parameters and also the corresponding value of objective functions demonstrates the performance of the developed framework in space applications.

KEYWORDS:

• Robust design optimisation
• Progressive Latin Hypercube sampling
• uncertainty analysis
• catalyst bed introduction

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

M. N. P. Meibody

M. N. P. Meibody received his M.Sc. in Aerospace Engineering from Iran University of Science and Technology, Iran in 2011. His M.Sc. research involved design, manufacturing and testing of the hybrid motor. He is a Ph.D. candidate in Aerospace Research Institute (ARI), Ministry of Science, Research and Technology (MSRT), Tehran, Iran. His research focuses on system engineering and Robust Design Optimization (RDO) and Uncertainty Analysis (UA) in Multidisciplinary Design Optimization (MDO).

H. Naseh

H. Naseh received his M.Sc. in Aerospace Engineering from the K. N. Toosi University of Technology, Iran in 2007. His M.Sc. the research involved the conceptual design of aerospace vehicles. His research focuses on space system engineering and Multi-disciplinary Design Optimization (MDO). He received a Ph.D. in Aerospace engineering from K. N. Toosi University, Iran 2014. He is a faculty member (Assistant Professor) in Aerospace Research Institute (ARI), Ministry of Science, Research and Technology (MSRT), Tehran, Iran, since 2014.

F. Ommi

F. Ommi received his M.Sc. in Mechanical Engineering from Tarbiat Modares University, Iran, 1989. His M.Sc. the research involved energy transfer. He received his Ph.D. in Mechanical Engineering in the field of Aerospace engineering form the University of Technology, Moscow, Russia in 1996. He is a faculty member (full professor) in mechanical engineering faculty, Tehran, Iran. His research focuses on propulsion, combustion. spray and atomization, experimental study and gas turbine theory.