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Multidisciplinary Design Optimization of Modular Industrial Robots

[+] Author Affiliations
Mehdi Tarkian, Johan Persson, Johan Ölvander

Linköping University, Linköping, Sweden

Xiaolong Feng

ABB Corporate Research, Västerås, Sweden

Paper No. DETC2011-48196, pp. 867-876; 10 pages
doi:10.1115/DETC2011-48196
From:
  • ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 5: 37th Design Automation Conference, Parts A and B
  • Washington, DC, USA, August 28–31, 2011
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5482-2
  • Copyright © 2011 by ASME

abstract

This paper presents a multidisciplinary design optimization framework for modular industrial robots. An automated design framework, containing physics based high fidelity models for dynamic simulation and structural strength analyses are utilized and seamlessly integrated with a geometry model. The proposed framework utilizes well-established methods such as metamodeling and multi-level optimization in order to speed up the design optimization process. The contribution of the paper is to show that by applying a merger of well-established methods, the computational cost can be cut significantly, enabling search for truly novel concepts.

Copyright © 2011 by ASME
Topics: Robots , Design , Optimization

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