Evaluation of additive manufacturing processes in fabrication of personalized robot

Shushu Wang, Rakshith Badarinath, El Amine Lehtihet, Vittaldas Prabhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Customers increasingly participate in the design stage of creating personalized products. Additive manufacturing (aka 3D printing) has become a popular enabler of personalization. In this paper we evaluate fabrication of an open source robot arm in terms of cost, build time, dimensional and locational accuracy, and mechanical properties. The mechanical components of the table-top robot were fabricated using two different AM processes: Fused deposition modelling (FDM) and Material Jetting (Polymer Jetting). Reducing the infill density to 50% in the FDM process resulted in a slight decrease in building time, material cost and tensile strength, and caused a 95% drop in yield strength. Simulation of the robot’s mechanical assembly using its CAD model based on the expected tolerances of the components, resulted in estimation of the end-effector positioning accuracy to be 0.01 to 0.22 mm.

Original languageEnglish (US)
Title of host publicationAdvances in Production Management Systems
Subtitle of host publicationInitiatives for a Sustainable World - IFIP WG 5.7 International Conference, APMS 2016, Revised Selected Papers
EditorsIrenilza Naas, Oduvaldo Vendrametto, Joao Mendes Reis, Rodrigo Franco Goncalves, Marcia Terra Silva, Gregor Kiritsis, Gregor von Cieminski
PublisherSpringer New York LLC
Pages406-414
Number of pages9
ISBN (Print)9783319511320
DOIs
StatePublished - 2016
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2016 - Iguassu Falls, Brazil
Duration: Sep 3 2016Sep 7 2016

Publication series

NameIFIP Advances in Information and Communication Technology
Volume488
ISSN (Print)1868-4238

Other

OtherIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2016
Country/TerritoryBrazil
City Iguassu Falls
Period9/3/169/7/16

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

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