受强制性开放获取政策约束的文章 - Yuanxiang Wang了解详情
无法在其他位置公开访问的文章：1 篇
A Shape Registration Methodology for Geometric Deviation Correction in Additive Manufacturing
Y Wang, C Ruiz, S Park, KH Shin, JH Kim, Q Huang
International Manufacturing Science and Engineering Conference 85802 …, 2022
强制性开放获取政策： US National Science Foundation
可在其他位置公开访问的文章：6 篇
Shape deviation generator—a convolution framework for learning and predicting 3-D printing shape accuracy
Q Huang, Y Wang, M Lyu, W Lin
IEEE Transactions on Automation Science and Engineering 17 (3), 1486-1500, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health, US …
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
A non-destructive resonant acoustic testing and defect classification of additively manufactured lattice structures
AF Obaton, Y Wang, B Butsch, Q Huang
Welding in the World 65 (3), 361-371, 2021
强制性开放获取政策： European Commission
Learning and predicting shape deviations of smooth and non-smooth 3d geometries through mathematical decomposition of additive manufacturing
Y Wang, C Ruiz, Q Huang
IEEE Transactions on Automation Science and Engineering 20 (3), 1527-1538, 2022
强制性开放获取政策： US National Science Foundation
Extended Fabrication-Aware Convolution Learning Framework for Predicting 3D Shape Deformation in Additive Manufacturing
Y Wang, C Ruiz, Q Huang
2021 IEEE 17th International Conference on Automation Science and …, 2021
强制性开放获取政策： US National Science Foundation
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