Statistical Analysis of Metal Removal during Magnetic Abrasive Finishing Process
Author(s) -
Baqer A. Ahmed,
Saad Kariem Shather,
Wisam Kadhim Hamdan
Publication year - 2020
Publication title -
journal of engineering
Language(s) - English
Resource type - Journals
eISSN - 2520-3339
pISSN - 1726-4073
DOI - 10.31026/j.eng.2020.08.03
Subject(s) - abrasive , materials science , machining , surface roughness , metallurgy , process (computing) , abrasive machining , response surface methodology , design of experiments , mechanical engineering , engineering drawing , composite material , computer science , engineering , mathematics , statistics , machine learning , operating system
This work aims to provide a statistical analysis of metal removal during the Magnetic Abrasive Finishing process (MAF) and find out the mathematical model which describes the relationship between the process parameters and metal removal, also estimate the impact of the parameters on metal removal. In this study, the single point incremental forming was used to form the truncated cone made of low carbon steel (1008-AISI) based on the Z-level tool path. Then the finishing was accomplished using a magnetic abrasive process based on the Box-Behnken design of the experiment using Minitab 17 software was used to finish the surface of the formed truncated cone. The influences of different parameters (feed rate, machining step size, coil current, and spindle speed) on metal removal were (32.948, 21.896, 10.587, and 13.907) %, respectively.
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