Author

Qiang Huang

University of Southern California, Professor of ISE, Fellow of IISE & ASME - Cited by 3,017 - Quality Control Theories and Methods for Personalized Manufacturing - Machine Learning for Additive Manufacturing (ML4AM) - Founda

Biography

Dr. Youkyung Bae is an Assistant Professor in the Key Laboratory of Biomimetic Robots and Systems, Beijing Institute of Technology, Beijing 100081, China. His research interest includes Speech Science, Hearing Science, etc. He has published more than 580 publications and the articles are informative and got good citations.
Title
Cited by
Year
Machine learning in tolerancing for additive manufacturing
Z Zhu, N Anwer, Q Huang, L MathieuCIRP Annals 67 (1), 157-160, 2018201
140
2018
Opportunities and challenges of quality engineering for additive manufacturing
BM Colosimo, Q Huang, T Dasgupta, F TsungJournal of Quality Technology 50 (3), 233-252, 2018201
94
2018
An Analytical Foundation for Optimal Compensation of Three-Dimensional Shape Deformation in Additive Manufacturing
Q HuangASME Transactions Journal of Manufacturing Science and Engineering 138 (6 …, 2016201
83
2016
In-plane shape-deviation modeling and compensation for fused deposition modeling processes
A Wang, S Song, Q Huang, F TsungIEEE Transactions on Automation Science and Engineering 14 (2), 968-9, 2016201
76
2016
60
2019
Prescriptive modeling and compensation of in-plane shape deformation for 3-D printed freeform products
H Luan, Q HuangIEEE Transactions on Automation Science and Engineering 14 (1), 73-82, 2016201
50
2016
Automated geometric shape deviation modeling for additive manufacturing systems via Bayesian neural networks
RSB Ferreira, A Sabbaghi, Q HuangIEEE Transactions on Automation Science and Engineering 17 (2), 584-598, 2019201
47
2019
47
2017
Offline predictive control of out-of-plane shape deformation for additive manufacturing
Y Jin, S Joe Qin, Q HuangJournal of Manufacturing Science and Engineering 138 (12), 121005, 2016201
46
2016
Shape Deviation Generator—A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy
Q Huang, Y Wang, M Lyu, W LinIEEE Transactions on Automation Science and Engineering 17 (3), 1486-1500, 2020202
42
2020
Model transfer across additive manufacturing processes via mean effect equivalence of lurking variables
A Sabbaghi, Q HuangThe Annals of Applied Statistics 12 (4), 2409-2429, 2018201
41
2018
Prescriptive data-analytical modeling of laser powder bed fusion processes for accuracy improvement
H Luan, M Grasso, BM Colosimo, Q HuangJournal of Manufacturing Science and Engineering 141 (1), 011008, 2019201
21
2019
Predictive model building across different process conditions and shapes in 3D printing
A Sabbaghi, Q Huang16 IEEE International Conference on Automation Science and Engineering …, 161
20
2016
Efficiently registering scan point clouds of 3D printed parts for shape accuracy assessment and modeling
N Decker, Y Wang, Q HuangJournal of Manufacturing Systems 56, 587-597,
20
2020
Prescriptive analytics for understanding of out-of-plane deformation in additive manufacturing
Y Jin, SJ Qin, Q Huang16 IEEE International Conference on Automation Science and Engineering …, 161
20
2016
18
2020
Geometric accuracy prediction and improvement for additive manufacturing using triangular mesh shape data
N Decker, M Lyu, Y Wang, Q HuangJournal of Manufacturing Science and Engineering 143 (6), 061006, 2021202
16
2021
Statistical process control of in-plane shape deformation for additive manufacturing
H Luan, BK Post, Q Huang2017 13th IEEE Conference on Automation Science and Engineering (CASE), 1274 …, 2017201
15
2017