TY - JOUR
T1 - Real–time prediction of penetration depths of laser surface melting based on coaxial visual monitoring
AU - Tang, Zi jue
AU - Liu, Wei wei
AU - Zhang, Nan
AU - Wang, Yi wen
AU - Zhang, Hong chao
N1 - Funding Information:
This work was supported by the Liaoning Provincial Natural Science Foundation of China (No. 20180520020 ), the Key Research and Development Plan of Ningxia (No. 2018BDE02045 ), the Collaborative Innovation Center of Major Machine Manufacturing in Liaoning, and the 973 Basic Research and Development Plan of China (No. 2011CB013402 ).
Funding Information:
This work was supported by the Liaoning Provincial Natural Science Foundation of China (No. 20180520020), the Key Research and Development Plan of Ningxia (No. 2018BDE02045), the Collaborative Innovation Center of Major Machine Manufacturing in Liaoning, and the 973 Basic Research and Development Plan of China (No. 2011CB013402).
Publisher Copyright:
© 2020
PY - 2020/5
Y1 - 2020/5
N2 - Laser surface melting (LSM) is an important laser processing technique that can be used in laser conduction welding, laser remelting, and defect elimination. Penetration depths are essential to determine LSM qualities. To enhance the ability to predict penetration depths, a real-time prediction method based on coaxial visual characteristics and the convection state of a molten pool is reported. First, the coaxial visual characteristics of the molten pool are analyzed, and its image is divided into convection, transition, and boundary regions. Based on these region characteristics, the convection state can be indicated. Then, the relationships among process parameters, coaxial visual characteristics, and penetration depths are presented. Finally, we attempt to predict the penetration depths based on these coaxial visual characteristics. The results show that the convection region characteristics are more sensitive to the changes in process parameters. The oscillation amplitude of the convection region can be considered monitored objects to indicate the convection state. The convection region can predict the penetration depths better than the entire molten pool. Furthermore, this work will be beneficial to understanding the experimental phenomenon and enhance the monitoring ability of other laser processing techniques, such as laser alloying, laser cladding, and laser-based additive manufacturing.
AB - Laser surface melting (LSM) is an important laser processing technique that can be used in laser conduction welding, laser remelting, and defect elimination. Penetration depths are essential to determine LSM qualities. To enhance the ability to predict penetration depths, a real-time prediction method based on coaxial visual characteristics and the convection state of a molten pool is reported. First, the coaxial visual characteristics of the molten pool are analyzed, and its image is divided into convection, transition, and boundary regions. Based on these region characteristics, the convection state can be indicated. Then, the relationships among process parameters, coaxial visual characteristics, and penetration depths are presented. Finally, we attempt to predict the penetration depths based on these coaxial visual characteristics. The results show that the convection region characteristics are more sensitive to the changes in process parameters. The oscillation amplitude of the convection region can be considered monitored objects to indicate the convection state. The convection region can predict the penetration depths better than the entire molten pool. Furthermore, this work will be beneficial to understanding the experimental phenomenon and enhance the monitoring ability of other laser processing techniques, such as laser alloying, laser cladding, and laser-based additive manufacturing.
KW - Coaxial visual characteristics
KW - Laser surface melting
KW - Molten pool
KW - Penetration depth
KW - Real–time monitoring
UR - http://www.scopus.com/inward/record.url?scp=85078672399&partnerID=8YFLogxK
U2 - 10.1016/j.optlaseng.2020.106034
DO - 10.1016/j.optlaseng.2020.106034
M3 - Article
AN - SCOPUS:85078672399
VL - 128
JO - Optics and Lasers in Engineering
JF - Optics and Lasers in Engineering
SN - 0143-8166
M1 - 106034
ER -