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

• 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; http://eprints.utem.edu.my/id/eprint/25427/; https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119771
• Institution: Universiti Teknikal Malaysia Melaka

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...