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Model for Evaluating Additive Manufacturing Feasibility in End-Use Production

Part of: Design for Additive Manufacturing

Published online by Cambridge University Press:  26 July 2019

Matti Ahtiluoto ,
Asko Uolevi Ellman  and
Eric Coatanea
Matti Ahtiluoto
Affiliation:
Enmac Ltd.;
Asko Uolevi Ellman*
Affiliation:
Tampere University of Technology
Eric Coatanea
Affiliation:
Tampere University of Technology
*
Contact: Ellman, Asko Uolevi, Tampere University of Technology, Mechanical Engineering and Industrial Systems, Finland, [email protected]

Abstract

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In practical design work, a designer needs to consider the feasibility of a part for a manufacturing using additive manufacturing (AM) instead of conventional manufacturing (CM) technology. Traditionally and by default parts are assumed to be manufactured using CM and using AM as an alternative need to be justified. AM is currently often a more expensive manufacturing method than CM, but its employment can be justified due to number of reasons: improved part features, faster manufacturing time and lower cost. Improved part features means usually reduced mass or complex shape. However, in low volume production lower manufacturing time and lower part cost may rise to the most important characteristics.

In this paper, we present a practical feasibility model, which analyses the added value of using AM for manufacturing. The approach is demonstrated in the paper on four specific parts. They represent real industrial design tasks that are ordered from an engineering office company. These parts were manufactured by Selective Laser Meting (SLM) technology and the original design done for conventional manufacturing is also presented and used for comparison purpose.

Keywords

Design for Additive Manufacturing (DfAM)Decision making3D printingAdditive Manufacturing
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 799 - 808
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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