Model for evaluating additive manufacturing feasibility in end-use production

Matti Ahtiluoto, Asko Ellman, Eric Coatanea

Research output: Contribution to journalConference articleScientificpeer-review

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)799-808
Number of pages10
JournalProceedings of the International Conference on Engineering Design, ICED
Volume1
Issue number1
DOIs
Publication statusPublished - 2019
Publication typeA1 Journal article-refereed
Event22nd International Conference on Engineering Design, ICED 2019 - Delft, Netherlands
Duration: 5 Aug 20198 Aug 2019

Keywords

  • 3D printing
  • Additive Manufacturing
  • Decision making
  • Design for Additive Manufacturing (DfAM)

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Modelling and Simulation

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