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Optimization of waterjet paint removal operation using artificial neural network

Alzaghir, Abdullah Faisal and Mat Nawi, Mohd Nazir and Gebremariam, M. A. and Azhari, Azmir (2022) Optimization of waterjet paint removal operation using artificial neural network. In: iM3F2021: Innovative Manufacturing, Mechatronics & Materials Forum 2021, 20th September 2021, Universiti Malaysia Pahang, Pekan (Virtual).

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Abstract

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 to remove the automotive paint due to its superior environmental benefits over mechanical cleaning methods. Therefore, it is important to predict the waterjet cleaning process for a successful application for the paint removal in the automotive industry. In the present work, ANN model was used to predict the surface roughnes after the paint removel process of automotive component using the waterjet cleaning operation. A response surface methodology approach was employed to develop the experimental design involving the first order model and the second order model of central composite design. Into training and testing, a back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with an average of 80% accuracy and 3.02 mean square error. This summarizes that ANN model can sufficiently estimate surface roughness in waterjet paint removal process with a reasonable error range.

Item Type: Conference or Workshop Item (Invited Papers)
Uncontrolled Keywords: Waterjet cleaning · Paint removal · Multiple jet passes · Surface roughness · Artificial neural network
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA170 Environmental engineering. Sustainable engineering
T Technology > TA Engineering (General). Civil engineering (General) > TA213 Engineering machinery, tools, and implements
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Centre for Foundation Studies
Depositing User: Br MOHD NAZIR MAT NAWI
Date Deposited: 18 Jan 2023 16:20
Last Modified: 18 Jan 2023 16:20
URI: http://irep.iium.edu.my/id/eprint/103198

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