TY - JOUR
T1 - Prediction and visualization of achievable orientation tolerances for additive manufacturing
AU - Budinoff, Hannah
AU - McMains, Sara
N1 - Funding Information:
This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. 1106400. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Publisher Copyright:
© 2018 The Authors. Published by Elsevier B.V.
PY - 2018
Y1 - 2018
N2 - In additive manufacturing, process parameters can have a large influence on the quality of the produced part, making it difficult to understand what tolerances are actually achievable. We present a system that can rapidly analyze part geometry and predict parallelism, perpendicularity, and angularity geometric deviations for planar surfaces, based on layer thickness and build direction. Our system can analyze multiple distinct features and their corresponding tolerances and datums to identify build directions where all specified tolerances can be achieved. This tool can be used to select an optimal build direction and to analyze whether specified tolerances are manufacturable using additive manufacturing.
AB - In additive manufacturing, process parameters can have a large influence on the quality of the produced part, making it difficult to understand what tolerances are actually achievable. We present a system that can rapidly analyze part geometry and predict parallelism, perpendicularity, and angularity geometric deviations for planar surfaces, based on layer thickness and build direction. Our system can analyze multiple distinct features and their corresponding tolerances and datums to identify build directions where all specified tolerances can be achieved. This tool can be used to select an optimal build direction and to analyze whether specified tolerances are manufacturable using additive manufacturing.
KW - Additive manufacturing
KW - geometric deviations
KW - tolerancing
UR - http://www.scopus.com/inward/record.url?scp=85057015844&partnerID=8YFLogxK
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U2 - 10.1016/j.procir.2018.03.315
DO - 10.1016/j.procir.2018.03.315
M3 - Conference article
AN - SCOPUS:85057015844
SN - 2212-8271
VL - 75
SP - 81
EP - 86
JO - Procedia CIRP
JF - Procedia CIRP
T2 - 15th CIRP Conference on Computer Aided Tolerancing, CIRP CAT 2018
Y2 - 11 June 2018 through 13 June 2018
ER -