TY - GEN
T1 - Expediting build time, material, and cost estimation for material extrusion processes to enable mobile applications
AU - Dinda, Shantanab
AU - Modi, Devansh
AU - Simpson, Timothy W.
AU - Tedia, Saish
AU - Williams, Christopher B.
N1 - Funding Information:
We thank Joseph Bartolai, PhD Candidate, Mechanical Engineering - Penn State, for his assistance with printing parts for the experiments on the Mendel Max 3. This research was supported by The National Science Foundation under NSF Grants CMMI-1547021 and CMMI-1546985. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the US National Science Foundation.
Publisher Copyright:
© Copyright 2017 ASME.
PY - 2017
Y1 - 2017
N2 - Development of Material Extrusion systems for 3D printing and their increase in accessibility has been instrumental in the rapid growth of individuals with hands-on experience in additive manufacturing. Fabricating parts using Material Extrusion has progressed from being a novel and expensive ordeal to a cheap, easy, and relatively fast method. However, this necessitates that the user understands the circumstances under which 3D printing is appropriate for a given part. This paper introduces software algorithms and an "App" to help users gauge the feasibility of fabricating parts using material extrusion. The algorithm uses novel voxel-based manufacturability analyses, which takes the desired STL file as input and generates a voxelized model with supports. The software estimates build time, weight of material required for the part and supports, and the cost of 3D printing based on specified machine parameters, allowing users to make an informed decision on process selection. The visuals generated by the algorithm also allow the user to determine the appropriate build orientation. The algorithm's predictions are compared to experimental results for validation, with the final version of the code serving as the backbone for a mobile "App" built for rapid visual evaluation of parts in terms of orientation, build time, and cost of printing. Ongoing and future work is also discussed.
AB - Development of Material Extrusion systems for 3D printing and their increase in accessibility has been instrumental in the rapid growth of individuals with hands-on experience in additive manufacturing. Fabricating parts using Material Extrusion has progressed from being a novel and expensive ordeal to a cheap, easy, and relatively fast method. However, this necessitates that the user understands the circumstances under which 3D printing is appropriate for a given part. This paper introduces software algorithms and an "App" to help users gauge the feasibility of fabricating parts using material extrusion. The algorithm uses novel voxel-based manufacturability analyses, which takes the desired STL file as input and generates a voxelized model with supports. The software estimates build time, weight of material required for the part and supports, and the cost of 3D printing based on specified machine parameters, allowing users to make an informed decision on process selection. The visuals generated by the algorithm also allow the user to determine the appropriate build orientation. The algorithm's predictions are compared to experimental results for validation, with the final version of the code serving as the backbone for a mobile "App" built for rapid visual evaluation of parts in terms of orientation, build time, and cost of printing. Ongoing and future work is also discussed.
UR - https://www.scopus.com/pages/publications/85034789982
UR - https://www.scopus.com/pages/publications/85034789982#tab=citedBy
U2 - 10.1115/DETC2017-68230
DO - 10.1115/DETC2017-68230
M3 - Conference contribution
AN - SCOPUS:85034789982
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 43rd Design Automation Conference
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017
Y2 - 6 August 2017 through 9 August 2017
ER -