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Evaluation of Additive Manufacturing Processes in Fabrication of Personalized Robot

Shushu Wang, Rakshith Badarinath, E. Amine Lehtihet, Vittaldas V. Prabhu

发表年份
2017
引用次数
7

摘要

Customer participation in the design stage of creating personalized products is increasing. Additive manufacturing (AM) has become a popular enabler of personalization. In this study, we evaluate the fabrication of an open-source robot arm in terms of cost, build time, dimensional and locational accuracy, end-effector accuracy, and mechanical properties. The mechanical components of the table-top robot were fabricated using two different AM processes of fused deposition modeling (FDM) and material jetting (polymer jetting or PolyJet). A reduction of infill density by 50% in the FDM process slightly decreased the building time, material cost, and tensile strength, but induced a 95% reduction in yield strength. A simulation of the mechanical assembly using the CAD models for the robot and the expected tolerances of the components estimated the end-effector positioning accuracy as 0.01–0.22 mm. The 3D printed robot arm was redesigned and fabricated using the best evaluated process in this study.

关键词

InfillRobotFabricationFused deposition modelingPersonalizationCADRobotic armRobot end effectorMaterials scienceProcess (computing)

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