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Design Automation for Customised and Large-Scale Additive Manufacturing: A Case Study on Custom Kayaks

Part of: Design for Additive Manufacturing

Published online by Cambridge University Press:  26 July 2019

Drew Lithgow ,
Cara Morrison ,
George Pexton ,
Massimo Panarotto ,
Jakob R. Müller ,
Lars Almefelt  and
Andrew McLaren
Drew Lithgow
Affiliation:
University of Strathclyde;
Cara Morrison
Affiliation:
University of Strathclyde;
George Pexton
Affiliation:
University of Strathclyde;
Massimo Panarotto*
Affiliation:
Chalmers University of Technology
Jakob R. Müller
Affiliation:
Chalmers University of Technology
Lars Almefelt
Affiliation:
Chalmers University of Technology
Andrew McLaren
Affiliation:
University of Strathclyde;
*
Contact: Panarotto, Massimo, Chalmers University of Technology, Industrial and Materials Science, Sweden, massimo.panarotto@chalmers.se

Abstract

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Additive Manufacturing (AM) offers the potential to increase the ability to customise large-scale plastic components. However, a substantial amount of manual work is still required during the customisation process, both in design and manufacturing.

This paper looks into how the additive manufacturing of mass customised large-scale products can be supported. Data was collected through interaction with industrial partners and potential customers in a case study regarding the customisation of kayaks.

As a result, the paper proposes a model-based methodology which combines design automation with a user interface.

The results point to the benefit of the proposed methodology in terms of design efficiency, as well as in terms of displaying results to the end user in an understandable format.

Keywords

Additive ManufacturingDesign methodsProduct modelling / models
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 699 - 708
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) 2019

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