| Efficiently registering scan point clouds of 3D printed parts for shape accuracy assessment and modeling N Decker, Y Wang, Q Huang Journal of Manufacturing Systems 56, 587-597, 2020 | 39 | 2020 |
| Geometric accuracy prediction and improvement for additive manufacturing using triangular mesh shape data N Decker, M Lyu, Y Wang, Q Huang Journal of Manufacturing Science and Engineering 143 (6), 061006, 2021 | 30 | 2021 |
| A digital twin strategy for major failure detection in fused deposition modeling processes CM Henson, NI Decker, Q Huang Procedia Manufacturing 53, 359-367, 2021 | 26 | 2021 |
| A simplified benchmarking model for the assessment of dimensional accuracy in FDM processes N Decker, A Yee International Journal of Rapid Manufacturing 5 (2), 145-154, 2015 | 25 | 2015 |
| Geometric Accuracy Prediction for Additive Manufacturing Through Machine Learning of Triangular Mesh Data N Decker, Q Huang ASME 2019 14th International Manufacturing Science and Engineering Conference, 2019 | 21 | 2019 |
| Assessing the use of binary blends of acrylonitrile butadiene styrene and post-consumer high density polyethylene in fused filament fabrication N Decker, A Yee International Journal of Additive and Subtractive Materials Manufacturing 1 …, 2017 | 16 | 2017 |
| Intelligent accuracy control service system for small-scale additive manufacturing N Decker, Q Huang Manufacturing Letters 26, 48-52, 2020 | 6 | 2020 |
| Optimizing the Expected Utility of Shape Distortion Compensation Strategies for Additive Manufacturing N Decker, Q Huang Procedia Manufacturing 53, 348-358, 2021 | 5 | 2021 |
| Machine Learning-Driven Deformation Prediction and Compensation for Additive Manufacturing N Decker University of Southern California, 2022 | 2 | 2022 |
Qiang HuangUniversity of Southern California, Professor of ISE, FIISE, FASME, SMNAI在 usc.edu 的电子邮件经过验证
Qiang HuangUniversity of Southern California, Professor of ISE, FIISE, FASME, SMNAI在 usc.edu 的电子邮件经过验证