Prediction of quality characteristics of laser drilled holes using artificial intelligence techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,General Engineering,Modeling and Simulation,Software
Link
http://link.springer.com/content/pdf/10.1007/s00366-019-00878-y.pdf
Reference45 articles.
1. Shen H, Jiang J, Feng D, Xing C, Zhao X, Xiao P (2019) Environmental Effect on the Crack Behavior of Yttria-Stabilized Zirconia during Laser Drilling. J Manuf Sci Eng 141(5):054501
2. Adelmann B, Hellmann R (2015) Rapid micro hole laser drilling in ceramic substrates using single mode fiber laser. J Mater Process Technol 221:80–86
3. Bharatish A, Murthy HN, Anand B, Madhusoodana CD, Praveena GS, Krishna M (2013) Characterization of hole circularity and heat affected zone in pulsed CO2 laser drilling of alumina ceramics. Opt Laser Technol 53:22–32
4. Dubey AK, Yadava V (2008) Experimental study of Nd: YAG laser beam machining-An overview. J Mater Process Technol 195(1–3):15–26
5. Casalino G (2018) Computational intelligence for smart laser materials processing. Opt Laser Technol 100:165–175
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