Items where Author is "Zhao, Zhiwei"
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Deep learning
Zhao, Zhiwei, Li, Yingguang, Liu, Changqing and Gao, James
ORCID: 0000-0001-5625-3654
(2019)
On-line part deformation prediction based on deep learning.
Journal of Intelligent Manufacturing, 31 (3).
pp. 561-574.
ISSN 0956-5515 (Print), 1572-8145 (Online)
(doi:https://doi.org/10.1007/s10845-019-01465-0)
deformation force
Zhao, Zhiwei, Liu, Changqing, Li, Yingguang and Gao, Xiaoyu
ORCID: 0000-0001-5625-3654
(2022)
A new method for inferencing and representing workpiece residual stress field using monitored deformation force data.
Engineering, 22.
pp. 49-59.
ISSN 2095-8099 (Print), 2096-0026 (Online)
(doi:https://doi.org/10.1016/j.eng.2022.07.018)
deformation prediction
Zhao, Zhiwei, Li, Yingguang, Liu, Changqing and Gao, James
ORCID: 0000-0001-5625-3654
(2019)
On-line part deformation prediction based on deep learning.
Journal of Intelligent Manufacturing, 31 (3).
pp. 561-574.
ISSN 0956-5515 (Print), 1572-8145 (Online)
(doi:https://doi.org/10.1007/s10845-019-01465-0)
in-situ measurement
Zhao, Zhiwei, Liu, Changqing, Li, Yingguang and Gao, Xiaoyu
ORCID: 0000-0001-5625-3654
(2022)
A new method for inferencing and representing workpiece residual stress field using monitored deformation force data.
Engineering, 22.
pp. 49-59.
ISSN 2095-8099 (Print), 2096-0026 (Online)
(doi:https://doi.org/10.1016/j.eng.2022.07.018)
inverse problem
Zhao, Zhiwei, Liu, Changqing, Li, Yingguang and Gao, Xiaoyu
ORCID: 0000-0001-5625-3654
(2022)
A new method for inferencing and representing workpiece residual stress field using monitored deformation force data.
Engineering, 22.
pp. 49-59.
ISSN 2095-8099 (Print), 2096-0026 (Online)
(doi:https://doi.org/10.1016/j.eng.2022.07.018)
Monitoring data
Zhao, Zhiwei, Li, Yingguang, Liu, Changqing and Gao, James
ORCID: 0000-0001-5625-3654
(2019)
On-line part deformation prediction based on deep learning.
Journal of Intelligent Manufacturing, 31 (3).
pp. 561-574.
ISSN 0956-5515 (Print), 1572-8145 (Online)
(doi:https://doi.org/10.1007/s10845-019-01465-0)
precision manufacturing
Zhao, Zhiwei, Liu, Changqing, Li, Yingguang and Gao, Xiaoyu
ORCID: 0000-0001-5625-3654
(2022)
A new method for inferencing and representing workpiece residual stress field using monitored deformation force data.
Engineering, 22.
pp. 49-59.
ISSN 2095-8099 (Print), 2096-0026 (Online)
(doi:https://doi.org/10.1016/j.eng.2022.07.018)
residual stress field
Zhao, Zhiwei, Liu, Changqing, Li, Yingguang and Gao, Xiaoyu
ORCID: 0000-0001-5625-3654
(2022)
A new method for inferencing and representing workpiece residual stress field using monitored deformation force data.
Engineering, 22.
pp. 49-59.
ISSN 2095-8099 (Print), 2096-0026 (Online)
(doi:https://doi.org/10.1016/j.eng.2022.07.018)
Tensor model
Zhao, Zhiwei, Li, Yingguang, Liu, Changqing and Gao, James
ORCID: 0000-0001-5625-3654
(2019)
On-line part deformation prediction based on deep learning.
Journal of Intelligent Manufacturing, 31 (3).
pp. 561-574.
ISSN 0956-5515 (Print), 1572-8145 (Online)
(doi:https://doi.org/10.1007/s10845-019-01465-0)