Optimization of waterjet paint removal operation using artificial neural network

• Main Authors: Alzaghir, Abdullah Faisal, Mohd Nazir, Mat Nawi, Gebremariam, Mebrahitom Asmelash, Azmir, Azhari
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/42307/1/Optimization%20of%20waterjet%20paint%20removal%20operation.pdf; http://umpir.ump.edu.my/id/eprint/42307/2/Optimization%20of%20waterjet%20paint%20removal%20operation%20using%20artificial%20neural%20network_ABS.pdf; http://umpir.ump.edu.my/id/eprint/42307/; https://doi.org/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 advantage t...