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METAMODEL BASED DESIGN AUTOMATION –APPLIED ON MULTIDISCIPLINARY DESIGN OPTIMIZATION OF INDUSTRIAL ROBOTS

Authors:

Mehdi Tarkian , Bhanoday Reddy Vemula, Xiaolong Feng , Johan Ölvander

Publication Type:

Conference/Workshop Paper

Venue:

Proceedings of the ASME 2012 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference


Abstract

Intricate and complex dependencies between multiple disciplines require iterative intensive optimization processes. To this end, multidisciplinary design optimization (MDO) has been established as a convincing concurrent technique to manage the inherited complexities. This paper presents a high level CAD and CAE design automation methodology which enables fast and efficient concept generation for MDO. To increase the evaluation speed, global metamodels are introduced to replace computation expensive CAD and CAE models. Furthermore, various techniques are applied to drastically decrease the number of samplings required for creating the metamodels. In the final part of the paper, a multilevel optimization strategy is proposed to find the optimal concept. As a proof of concept a real world design problem, from ABB industrial robotics is introduced.

Bibtex

@inproceedings{Tarkian3560,
author = {Mehdi Tarkian and Bhanoday Reddy Vemula and Xiaolong Feng and Johan {\"O}lvander},
title = {METAMODEL BASED DESIGN AUTOMATION –APPLIED ON MULTIDISCIPLINARY DESIGN OPTIMIZATION OF INDUSTRIAL ROBOTS},
month = {August},
year = {2012},
booktitle = {Proceedings of the ASME 2012 International Design Engineering Technical Conferences {\&} Computers and Information in Engineering Conference},
url = {http://www.ipr.mdh.se/publications/3560-}
}