TY - GEN
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:
© IFIP International Federation for Information Processing 2016. All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-319-51133-7_48
DO - 10.1007/978-3-319-51133-7_48
M3 - Conference contribution
AN - SCOPUS:85016070516
SN - 9783319511320
T3 - IFIP Advances in Information and Communication Technology
SP - 406
EP - 414
BT - Advances in Production Management Systems
A2 - Naas, Irenilza
A2 - Vendrametto, Oduvaldo
A2 - Reis, Joao Mendes
A2 - Goncalves, Rodrigo Franco
A2 - Silva, Marcia Terra
A2 - Kiritsis, Gregor
A2 - von Cieminski, Gregor
PB - Springer New York LLC
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2016
Y2 - 3 September 2016 through 7 September 2016
ER -