MODELING OF MAGNETIC ABRASIVE FINISHING OF BRASS ALLOY BASED ON FUZZY LOGIC APPROACH

Authors

  • Mahmmoud Abdallha Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0002-7378-3259
  • Salah S. Abed Alkareem College of Technical Engineering, Al-Farahidi University, Baghdad, Iraq https://orcid.org/0000-0002-7378-3259
  • Ali H. Kadhum Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq https://orcid.org/0009-0003-5226-6150
  • Asmaa Jamal Awad Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq https://orcid.org/0009-0005-2770-2517
  • Salah Al-Zubaidi Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0002-0308-548X
  • Oday Abdullah College of Engineering, Al-Naji University, Baghdad, Iraq , Department of Energy Engineering, College of Engineering, University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0001-5450-021X
  • Mohd Shukor Salleh Fakulti Teknologi Dan Kejuruteraan Industri Dan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia https://orcid.org/0000-0003-4800-2470
  • Munaf S. Majeed AL-Nahrain Renewable Energy Research Center, Al-Nahrain University, Baghdad, Iraq , Department of Radiology Techniques, Dijlah University College, Baghdad, Iraq https://orcid.org/0000-0002-8903-2898

DOI:

10.26577/JMMCS130220269

Keywords:

Fuzzy logic, magnetic abrasive finishing, CuZn28, surface roughness

Abstract

Magnetic abrasive finishing (MAF) is a non-classical finishing in which a super-finished surface is produced. This study aims to develop a fuzzy logic (FL) model for predicting the CuZn28 surface roughness produced by a new pole geometry MAF process. The experimental work was done before, and its data were recalled here to develop the FL model. Pole geometry, rotational speed, MAFtime, and applied current were used with three levels that generated nine experimental runs based on the L9 Taguchi experimental scheme. Four membership functions were applied, and the developed FL model reached 87% prediction accuracy. The degree of change in each membership function reflects the significance rank of parameters, which were speed, current, time, and pole geometry.

Author Biographies

  • Mahmmoud Abdallha, Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq

    Mahmmoud Abdallha – PhD, Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad (Baghdad, Iraq, e-mail: Engineer_mahmmoud@yahoo.com)

  • Salah S. Abed Alkareem, College of Technical Engineering, Al-Farahidi University, Baghdad, Iraq

    Salah S. Abed Alkareem – Professor, College of Technical Engineering, Al-Farahidi University, (Baghdad, Iraq, e-mail: salahabedalkareem@uoalfarahidi.edu.iq )

  • Ali H. Kadhum, Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq

    Ali H. Kadhum – PhD, Department of Mechanical Engineering, University of Babylon (Babylon, Iraq, e-mail: kadhumali59@kecbu.uobaghdad.edu.iq)

  • Asmaa Jamal Awad, Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq

    Asmaa Jamal Awad – Associate Professor, Department of Automated Manufacturing Engineering, Al-Khwarizmi Collegee of Engineering, University of Baghdad (Baghdad, Iraq, e-mail:Asmaajamalawad@gmail.com)

  • Salah Al-Zubaidi, Department of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq

    Salah Al-Zubaidi – epartment of Automated Manufacturing Engineering, Al-Khwarizmi College of Engineering, University of Baghdad (Baghdad, Iraq, e-mail: salah.salman@kecbu.uobaghdad.edu.iq)

  • Oday Abdullah, College of Engineering, Al-Naji University, Baghdad, Iraq, Department of Energy Engineering, College of Engineering, University of Baghdad, Baghdad, Iraq

    Oday I. Abdullah – Professor, Department of Mechanical Engineering, University of Baghdad (Baghdad, Iraq, e-mail: oday.abdullah@coeng.uobaghdad.edu.iq)

  • Mohd Shukor Salleh, Fakulti Teknologi Dan Kejuruteraan Industri Dan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia

    Mohd Shukor Salleh – Professor, Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah (Pekan, Malaysia, e-mail: shukor@utem.edu.my)

  • Munaf S. Majeed, AL-Nahrain Renewable Energy Research Center, Al-Nahrain University, Baghdad, Iraq, Department of Radiology Techniques, Dijlah University College, Baghdad, Iraq

    Munaf S. Majeed – Associate Professor, Department of Mechanical Engineering, University of Baghdad (Baghdad, Iraq, e-mail: dr.munafsm@gmail.com)

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Published

2026-06-20

Issue

Vol. 130 No. 2 (2026): KazNU Bulletin. Mathematics, Mechanics, Computer Science Series

Section

Mechanics

How to Cite

MODELING OF MAGNETIC ABRASIVE FINISHING OF BRASS ALLOY BASED ON FUZZY LOGIC APPROACH. (2026). Journal of Mathematics, Mechanics and Computer Science, 130(2), 122-136. https://doi.org/10.26577/JMMCS130220269