Follow
Zhuo Yang
Title
Cited by
Cited by
Year
Investigation of deep learning for real-time melt pool classification in additive manufacturing
Z Yang, Y Lu, H Yeung, S Krishnamurty
2019 IEEE 15th international conference on automation science and …, 2019
852019
A meltpool prediction based scan strategy for powder bed fusion additive manufacturing
H Yeung, Z Yang, L Yan
Additive Manufacturing 35, 101383, 2020
642020
From scan strategy to melt pool prediction: A neighboring-effect modeling method
Z Yang, Y Lu, H Yeung, S Krishnamurty
Journal of Computing and Information Science in Engineering 20 (5), 051001, 2020
542020
Investigating grey-box modeling for predictive analytics in smart manufacturing
Z Yang, D Eddy, S Krishnamurty, I Grosse, P Denno, Y Lu, P Witherell
International design engineering technical conferences and computers and …, 2017
492017
Self-improving additive manufacturing knowledge management
Y Lu, Z Yang, D Eddy, S Krishnamurty
International Design Engineering Technical Conferences and Computers and …, 2018
352018
Hybrid modeling approach for melt-pool prediction in laser powder bed fusion additive manufacturing
T Moges, Z Yang, K Jones, S Feng, P Witherell, Y Lu
Journal of Computing and Information Science in Engineering 21 (5), 050902, 2021
332021
Data-driven characterization of thermal models for powder-bed-fusion additive manufacturing
W Yan, Y Lu, K Jones, Z Yang, J Fox, P Witherell, G Wagner, WK Liu
Additive manufacturing 36, 101503, 2020
312020
Investigating predictive metamodeling for additive manufacturing
Z Yang, D Eddy, S Krishnamurty, I Grosse, P Denno, F Lopez
International Design Engineering Technical Conferences and Computers and …, 2016
302016
Camera-based coaxial melt pool monitoring data registration for laser powder bed fusion additive manufacturing
Y Lu, Z Yang, J Kim, H Cho, H Yeung
ASME International Mechanical Engineering Congress and Exposition 84492 …, 2020
252020
3d build melt pool predictive modeling for powder bed fusion additive manufacturing
Z Yang, Y Lu, H Yeung, S Kirshnamurty
International Design Engineering Technical Conferences and Computers and …, 2020
222020
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing
J Kim, Z Yang, H Ko, H Cho, Y Lu
Journal of Manufacturing Systems 68, 117-129, 2023
192023
3D finite element modeling of pelvic organ prolapse
Z Yang, J Hayes, S Krishnamurty, IR Grosse
Computer methods in biomechanics and biomedical engineering 19 (16), 1772-1784, 2016
172016
In-process data fusion for process monitoring and control of metal additive manufacturing
Z Yang, Y Lu, S Li, J Li, Y Ndiaye, H Yang, S Krishnamurty
International Design Engineering Technical Conferences and Computers and …, 2021
162021
Dynamic metamodeling for predictive analytics in advanced manufacturing
Z Yang, S Krishnamurty, I Grosse, D Eddy, P Denno, PW Witherell, ...
Smart and Sustainable Manufacturing Systems, 18-39, 2018
162018
A framework driven by physics-guided machine learning for process-structure-property causal analytics in additive manufacturing
H Ko, Y Lu, Z Yang, NY Ndiaye, P Witherell
Journal of Manufacturing Systems 67, 213-228, 2023
152023
A domain-driven approach to metamodeling in additive manufacturing
Z Yang, T Hagedorn, D Eddy, S Krishnamurty, I Grosse, P Denno, Y Lu, ...
International design engineering technical conferences and computers and …, 2017
132017
Additive manufacturing in situ and ex situ geometric data registration
SC Feng, Y Lu, AT Jones, Z Yang
Journal of computing and information science in engineering 22 (6), 061003, 2022
122022
A super-metamodeling framework to optimize system predictability
Z Yang, D Eddy, S Krishnamurty, I Grosse, Y Lu
International Design Engineering Technical Conferences and Computers and …, 2018
122018
Spatial-Temporal Modeling Using Deep Learning for Real-Time Monitoring of Additive Manufacturing
H Ko, J Kim, Y Lu, D Shin, Z Yang, Y Oh
International Design Engineering Technical Conferences and Computers and …, 2022
82022
Prediction of melt pool geometry using deep neural networks
FA Milaat, Z Yang, H Ko, AT Jones
International Design Engineering Technical Conferences and Computers and …, 2021
72021
The system can't perform the operation now. Try again later.
Articles 1–20