Optimization of waterjet paint removal operation using artificial neural network

• Main Authors: Alzaghir, Abdullah Faisal, Mat Nawi, Mohd Nazir, Gebremariam, M. A., Azhari, Azmir
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Nature 2022
• Subjects: TA170 Environmental engineering. Sustainable engineering; TA213 Engineering machinery, tools, and implements
• Online Access: http://irep.iium.edu.my/103198/1/103198_Optimization%20of%20waterjet%20paint%20removal.pdf; http://irep.iium.edu.my/103198/2/103198_Optimization%20of%20waterjet%20paint%20removal_SCOPUS.pdf; http://irep.iium.edu.my/103198/; https://link.springer.com/chapter/10.1007/978-981-19-2095-0_2

Paint removal of automotive parts without environmental effects has become a critical issue around the world. The high pressure waterjet technology has received a wider acceptance for various applications involving machining, cleaning, surface treatment and material cutting. It offers an advantag...