Multiple Polynomial Regression Model for Predicting Surface Roughness of Titanium Alloy in Electrical Discharge Machining

• Main Authors: Zaina, Nurezayana, Mohd Zain, Azlan, A. Aziz, Mohamad Firdaus, A. Mostafa, Salama, Mat Deris, Ashanira, Abd Warif, Nor, S. Shahrom, Muhammad Ammar
• Format: Article
• Language: English
• Published: aspg 2024
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.uthm.edu.my/12557/1/J18079_1529767575b513c8f8890c870bc26797.pdf; http://eprints.uthm.edu.my/12557/; https://doi.org/10.54216/FPA.150215

This study investigated the experimental work of titanium alloy in the die-sinking electrical discharge (EDM) machining process to enhance surface integrity (surface roughness) by applying regression-based modeling. Furthermore, a multiple polynomial regression (MPR) model was developed to predict...