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Autofix – Automated Design of Fixtures

Published online by Cambridge University Press:  26 May 2022

S. Nambiar ,
A. P. Albert ,
V. V. R. C. Rimmalapudi ,
V. Acharya ,
M. Tarkian  and
H. Kihlman
S. Nambiar*
Affiliation:
Linköping University, Sweden
A. P. Albert
Affiliation:
Linköping University, Sweden
V. V. R. C. Rimmalapudi
Affiliation:
Linköping University, Sweden
V. Acharya
Affiliation:
Linköping University, Sweden
M. Tarkian
Affiliation:
Linköping University, Sweden
H. Kihlman
Affiliation:
Prodtex AB, Sweden
*
sanjay.nambiar@liu.se

Abstract

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This paper presents a framework to develop the automated design of fixtures using the combination of design automation (DA), multidisciplinary optimization and robotic simulation. MDO necessitates the use of concurrent and parametric designs which are created by DA and knowledge-based engineering tools. This approach is designed to decrease the time and cost of the fixture design process by increasing the degree of automation. AutoFix provides methods and tools for automatically optimizing resource-intensive fixture design utilizing digital tools from different disciplines.

Keywords

design automationdesign optimisationknowledge-based engineering (KBE)fixturesrobotic simulation
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 543 - 552
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

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