Title: Exploring the parametric design space to manage computational weld mechanics analyses using design of experiment
Authors: Mahyar Asadi; John A. Goldak
Addresses: Department of Mechanical and Aerospace Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada ' Department of Mechanical and Aerospace Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada
Abstract: Development of a computational weld mechanics (CWM) framework that automates multiple set-ups and evaluations is required to practically explore a design space by given design of experiment (DOE) matrices. Saving an expert-user's time to prepare several analyses and allocating CPUs to be utilised efficiently make this framework cost effective and time effective to manage designer-driven optimisation and control application of CWM. A validation analysis is conducted in this framework to identify the CWM control vector that minimises the difference between the computed and experimental data. Actual CWM problems with continuous and/or discontinuous parametric design spaces are solved in this framework to minimise weld distortion using derivative-free optimisation algorithms and DOE matrices that become attractive in this framework.
Keywords: CWM; computational welding mechanics; design space exploration; DOE; design of experiments; parametric design; optimisation; weld distortion; multiple analyses.
International Journal of Product Development, 2013 Vol.18 No.1, pp.31 - 47
Received: 27 Jun 2011
Accepted: 02 Jul 2012
Published online: 13 Feb 2013 *