Artificial Neural Network Modelling To Predict Laser Micro Grooving Quality Of Commercially Pure Titanium Grade 2
Grooving is the process of making a narrow channel on a surface of flat or cylindrical workpiece. Often it is performed on workpiece shoulders to ensure the correct fit for mating parts. Groove is widely used in automotive industry, biomedical implants and electronic devices. Though, laser machining...
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Main Author: | Abdul Khalim, Abdul Zuhair |
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Format: | Thesis |
Language: | English English |
Published: |
2020
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Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/25427/1/Artificial%20Neural%20Network%20Modelling%20To%20Predict%20Laser%20Micro%20Grooving%20Quality%20Of%20Commercially%20Pure%20Titanium%20Grade%202.pdf http://eprints.utem.edu.my/id/eprint/25427/2/Artificial%20Neural%20Network%20Modelling%20To%20Predict%20Laser%20Micro%20Grooving%20Quality%20Of%20Commercially%20Pure%20Titanium%20Grade%202.pdf http://eprints.utem.edu.my/id/eprint/25427/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119771 |
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