Experimental Study and Finite Element Analysis of Temperature Reduction and Distribution During Machining of Al-Si-Mg Composite Using Deform 3D

Authors

  • Imhade Princess Okokpujie Department of Mechanical and Mechatronics Engineering, Afe Babalola University, Ado Ekiti State, Nigeria
  • Chukwuemerie Thankgod Akujieze Department of Mechanical Engineering, Covenant University Ota, Ogun State, Nigeria
  • Jude Ebieladoh Sinebe Department of Mechanical Engineering, Delta State University, Abraka Delta State, Nigeria
  • Lagouge Kwanda Tartibu Department of Mechanical and Industrial Engineering Technology, University of Johannesburg, Johannesburg, 2028, South Africa
  • Adeyinka Adeoye Department of Mechanical and Mechatronics Engineering, Afe Babalola University, Ado Ekiti State, Nigeria
  • Sylvia Echezona Kelechi Department of Mechanical and Civil Engineering, Purdue University Northwest, Hammond, Indiana, United States of America
  • Esther Titilayo Akinlabi Department of Mechanical and Construction Engineering Faculty of Engineering and Environment Northumbria University Newcastle, United Kingdom

DOI:

https://doi.org/10.37934/arfmts.97.2.825

Keywords:

Finite Element Method, machining, Al-Si-Mg, nano-lubricant, temperature reduction and distribution

Abstract

Composite materials are promising materials in the manufacturing industry due to the quality of their materials. However, in transforming these materials, the machining process experiences a high-heat generation rate, which has led to the study of temperature distribution, and reduction analysis at the cutting region. High-temperature generation during machining operation leads to thermal deformation on the developed component or parts, affecting the operation life span of the component. Thus, this study investigated the effect of mineral oil-based-Multi-walled carbon nanofluid (MWCNTs) compared to pure mineral oil in the turning of aluminum-silicon magnesium metal composite (AlSiMg) on temperature reduction and distribution. The nanofluid was prepared with 0.4g of MWCNT to 1 liter of mineral oil. The study employed the energy dispersive spectrometer to obtain the chemical composition of the developed nanofluid. Furthermore, Finite element software DEFORM 3D v11.0 uses a lagrangian incremental approach to simulate chip formation and temperature distribution on the workpiece. Also, to study the effects of the machining parameters on the temperature distribution. The experiment results showed a significant reduction of 11.9% in temperature when machining with nanofluid compared to pure mineral oil. The simulation results showed that the temperature increases as the cutting speed and feed rate increase. The minimum temperature via the DEFORM 3D Finite Element Model simulation was achieved at spindle speed 870 rpm, feed rate 2 mm/rev, and depth-of-cut 1 mm. In conclusion, the study recommends that the manufacturing industry employ the optimized machining parameters during the turning of AlSiMg metal matrix composite for a sustainable machining process.

Author Biographies

Imhade Princess Okokpujie, Department of Mechanical and Mechatronics Engineering, Afe Babalola University, Ado Ekiti State, Nigeria

ip.okokpujie@abuad.edu.ng

Chukwuemerie Thankgod Akujieze, Department of Mechanical Engineering, Covenant University Ota, Ogun State, Nigeria

imadeo2003@gmail.com

Jude Ebieladoh Sinebe, Department of Mechanical Engineering, Delta State University, Abraka Delta State, Nigeria

j.sinebe@yahoo.com

Lagouge Kwanda Tartibu, Department of Mechanical and Industrial Engineering Technology, University of Johannesburg, Johannesburg, 2028, South Africa

itartibu@uj.ac.za

Adeyinka Adeoye, Department of Mechanical and Mechatronics Engineering, Afe Babalola University, Ado Ekiti State, Nigeria

aadeoye@abuad.edu.ng

Sylvia Echezona Kelechi, Department of Mechanical and Civil Engineering, Purdue University Northwest, Hammond, Indiana, United States of America

skelechi@pnw.edu

Esther Titilayo Akinlabi , Department of Mechanical and Construction Engineering Faculty of Engineering and Environment Northumbria University Newcastle, United Kingdom

etakinlabi@gmail.com

Downloads

Published

2022-07-03

How to Cite

Okokpujie, I. P., Akujieze, C. T., Sinebe, J. E., Tartibu, L. K., Adeyinka Adeoye, Kelechi, S. E., & Akinlabi , E. T. (2022). Experimental Study and Finite Element Analysis of Temperature Reduction and Distribution During Machining of Al-Si-Mg Composite Using Deform 3D . Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 97(2), 8–25. https://doi.org/10.37934/arfmts.97.2.825

Issue

Vol. 97 No. 2: September (2022)

Section

Articles