Prediction of abrasive waterjet machining of sheet metals using artificial neural network

• Main Authors: Nur Khadijah, Mazlan, Nazrin, Mokhtar, 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/42304/1/Prediction%20of%20abrasive%20waterjet%20machining%20of%20sheet%20metals.pdf; http://umpir.ump.edu.my/id/eprint/42304/2/Prediction%20of%20abrasive%20waterjet%20machining%20of%20sheet%20metals%20using%20artificial%20neural%20network_ABS.pdf; http://umpir.ump.edu.my/id/eprint/42304/; https://doi.org/10.1007/978-981-19-2095-0_5

High pressure waterjet technology has received a wider acceptance for various applications involving machining, cleaning, surface treatment and material cutting. Machining of soft and thin materials with acceptable cutting quality requires a relatively low waterjet pump capacity typically below 150...