Artificial Neural Network Modelling To Predict Laser Micro Grooving Quality Of Commercially Pure Titanium Grade 2

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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Bibliographic Details
Main Author: Abdul Khalim, Abdul Zuhair
Format: Thesis
Language:English
English
Published: 2020
Subjects:
T Technology (General)
TJ Mechanical engineering and machinery
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
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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

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