The generative design process for robotic design applications

Walia, K ORCID: https://orcid.org/0000-0002-9191-3571, Khan, A and Breedon, P ORCID: https://orcid.org/0000-0002-1006-0942, 2021. The generative design process for robotic design applications. Journal of Additive Manufacturing Technologies, 1 (2): 528. ISSN 2749-3229

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Abstract

Additive Manufacturing (AM) has led to the development of more complex geometries and organic components which can be easily manufactured. This has proven to be a crucial milestone for designers with a radical step change in the thought process to fully utilise its potential. As the output geometries and manifolds from part optimization approaches like topology optimization (TO) and generative design (GD) are lighter but too complex to be manufactured by conventional manufacturing methods. Generative Design provides a possibility to optimize the design for specific AM technology and materials. This paper defines the workflow of methodology for the design of an elbow or shoulder rigid link for a serial manipulator. Utilizing GD for a light-payload industrial robotic application results are compared with carbon fibre tubing and conventional aluminium extrusions which are often used in the design and application of both elbow and shoulder rigid links. It was observed that utilising GD provides significant potential benefits for robotics design. For example, light-weighted manipulator structures can reduce cost and energy consumption whilst maintaining overall strength clearly demonstrating the potential benefit of this approach for industrial robotic design.

Item Type:	Journal article
Publication Title:	Journal of Additive Manufacturing Technologies
Creators:	Walia, K., Khan, A. and Breedon, P.
Publisher:	Infinite Science Publishing
Date:	7 December 2021
Volume:	1
Number:	2
ISSN:	2749-3229
Identifiers:	Number Type 10.18416/JAMTECH.2111528 DOI 2236454 Other
Rights:	© 2021 P. Breedon; licensee Infinite Science Publishing. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	04 Oct 2024 09:28
Last Modified:	04 Oct 2024 09:28
URI:	https://irep.ntu.ac.uk/id/eprint/52355

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