Improving the prediction accuracy of thermal finite element analysis for laser welding through an automated optimization method-Reference-Cited by-同舟云学术

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Improving the prediction accuracy of thermal finite element analysis for laser welding through an automated optimization method

Published:2022-10-15 Issue:5-6 Volume:123 Page:1657-1668
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Xu Jiajun,Rong Youmin

Funder

Young Scientists Fund

Postdoctoral Research Foundation of China

Hebei Provincial Key Research Projects

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-022-10268-2.pdf

Reference41 articles.

1. Hamelin CJ, Murnsky O, Smith MC et al (2014) Validation of a numerical model used to predict phase distribution and residual stress in ferritic steel weldments. Acta Mater 75:1–19. https://doi.org/10.1016/j.actamat.2014.04.045

2. Chambonneau M, Li Q, Fedorov VY et al (2021) Taming ultrafast laser filaments for optimized semiconductor–metal welding. Laser Photonics Rev 15:1–7. https://doi.org/10.1002/lpor.202000433

3. Zang Z, Zeng X, Du J et al (2016) Femtosecond laser direct writing of microholes on roughened ZnO for output power enhancement of InGaN light-emitting diodes. Opt Lett 41:3463. https://doi.org/10.1364/ol.41.003463

4. Tan D, Zhang B, Qiu J (2021) Ultrafast laser direct writing in glass: thermal accumulation engineering and applications. Laser Photonics Rev 15:1–22. https://doi.org/10.1002/lpor.202000455

5. Wu Z, Dong Y, Zhang S et al (2021) Discussion on effect of laser parameters and trajectory in combined pulse laser drilling. Int J Hydromechatronics 4:43. https://doi.org/10.1504/ijhm.2021.114175

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