TY - GEN
T1 - Bayesian additive modeling for quality control of 3D printed products
AU - Sabbaghi, Arman
AU - Huang, Qiang
AU - Dasgupta, Tirthankar
PY - 2015/10/7
Y1 - 2015/10/7
N2 - Three-dimensional (3D) printing is a disruptive technology with the potential to revolutionize manufacturing. However, control of product boundary deformation is a major issue that can limit its impact in practice. The fundamental requirement for quality control is a generic methodology that can predict deformations for a wide range of designs based on the available data of a few previously manufactured products, potentially of different designs. We develop a Bayesian methodology to effectively update prior conceptions of deformation for a new design based on printed products of different shapes. Our approach is applied to infer deformation models for regular polygons based on deformation models and data for circles. Ultimately, our methodology fills a gap in comprehensive quality control for 3D printing, and can advance it as a high-impact manufacturing technology.
AB - Three-dimensional (3D) printing is a disruptive technology with the potential to revolutionize manufacturing. However, control of product boundary deformation is a major issue that can limit its impact in practice. The fundamental requirement for quality control is a generic methodology that can predict deformations for a wide range of designs based on the available data of a few previously manufactured products, potentially of different designs. We develop a Bayesian methodology to effectively update prior conceptions of deformation for a new design based on printed products of different shapes. Our approach is applied to infer deformation models for regular polygons based on deformation models and data for circles. Ultimately, our methodology fills a gap in comprehensive quality control for 3D printing, and can advance it as a high-impact manufacturing technology.
UR - http://www.scopus.com/inward/record.url?scp=84952789531&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84952789531&partnerID=8YFLogxK
U2 - 10.1109/CoASE.2015.7294214
DO - 10.1109/CoASE.2015.7294214
M3 - Conference contribution
AN - SCOPUS:84952789531
T3 - IEEE International Conference on Automation Science and Engineering
SP - 906
EP - 911
BT - 2015 IEEE Conference on Automation Science and Engineering
PB - IEEE Computer Society
T2 - 11th IEEE International Conference on Automation Science and Engineering, CASE 2015
Y2 - 24 August 2015 through 28 August 2015
ER -