TY - JOUR
T1 - Evaluation of additive manufacturing processes in fabrication of personalized robot
AU - Wang, Shushu
AU - Badarinath, Rakshith
AU - Lehtihet, El Amine
AU - Prabhu, Vittaldas
N1 - Publisher Copyright:
© 2017, Fuji Technology Press. All rights reserved.
PY - 2017
Y1 - 2017
N2 - 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, endeffector accuracy, and mechanical properties. Themechanical 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.
AB - 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, endeffector accuracy, and mechanical properties. Themechanical 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.
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U2 - 10.20965/ijat.2017.p0029
DO - 10.20965/ijat.2017.p0029
M3 - Article
AN - SCOPUS:85010918146
SN - 1881-7629
VL - 11
SP - 29
EP - 37
JO - International Journal of Automation Technology
JF - International Journal of Automation Technology
IS - 1
ER -