A Surface Modification Decision Tree to Influence Design in Additive Manufacturing

Eleanor Gordon, Alborz Shokrani Chaharsooghi, Joseph Flynn, Steven Goguelin, Jack Barclay, Vimal Dhokia

Research output: Contribution to conferencePaper

8 Citations (Scopus)
190 Downloads (Pure)

Abstract

Additive manufacturing (AM) presents a very different set of design challenges to traditional manufacturing. Layer-wise building brings about issues with residual stresses and support requirements which lead to failures during processing of poorly-designed parts. Additionally, there is a need for post-processing due to poor part quality, which adds another process to the chain with its own unique design limitations. This paper discusses the issues surrounding designing for AM and the subsequent post-processing. A future vision is proposed for the selection of post-processes and the relative design adjustments to accommodate the chosen techniques. A decision tree is presented as a framework for process selection based on part requirements. Although at present, the data necessary to realise this vision is incomplete, with further research into the capabilities and design constraints of different post-processes, this approach could provide a systematic method for integrating design for post-processing with AM design.
Original languageEnglish
Number of pages10
Publication statusPublished - 4 Apr 2016
EventSustainable Design and Manufacturing 2016: SDM 2016 - Crete, Chania, Greece
Duration: 4 Apr 20166 Apr 2016

Conference

ConferenceSustainable Design and Manufacturing 2016
CountryGreece
CityChania
Period4/04/166/04/16

Keywords

  • Additive manufacturing
  • Surface Modification
  • Design for Additive Manufacturing
  • Post Processing

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  • Cite this

    Gordon, E., Shokrani Chaharsooghi, A., Flynn, J., Goguelin, S., Barclay, J., & Dhokia, V. (2016). A Surface Modification Decision Tree to Influence Design in Additive Manufacturing. Paper presented at Sustainable Design and Manufacturing 2016, Chania, Greece.