INVESTIGATING THE DIFFERENTIAL IMPACT OF MACHINING PARAMETERS ON TOOL WEAR USING DESIGN EXPERT 13

Authors

  • A.H. Norshahifudin Universiti Teknologi MARA, Malaysia
  • S.A. Sulaiman Universiti Teknologi MARA, Malaysia
  • H.F. Pahroraji Universiti Teknologi MARA, Malaysia
  • A.K.M.N. Amin Military Institute of Science and Technology (MIST), Bangladesh

DOI:

https://doi.org/10.54554/jmet.2026.18.01.008

Keywords:

Tool Wear, Design of Experiment, ANOVA, Machining Efficiency , Crater Wear

Abstract

Conventional machining at the industrial and educational levels, tool wear remains a primary cause of increased production costs and degraded surface integrity. At UiTM Pasir Gudang, the reliance on manual parameter selection for conventional lathes often leads to inefficient tool life and unpredictable wear rates during hands-on sessions. This study targets improving cutting parameters, specifically cutting speed, feed rate, and depth of cut, to minimise crater wear rates for Mild Steel workpieces using HSS 5% Cobalt tools. The research employed a Design of Experiments (DOE) approach via Response Surface Methodology (RSM) with 15 experimental runs. Data were examined using Design Expert 13 software to develop predictive mathematical models and identify significant interactions. Statistical analysis through ANOVA revealed that the depth of cut significantly dictates the progression of crater wear, with a quadratic relationship and an R value of 0.9024. The study successfully established optimised machining zones that extend tool longevity. These findings provide a structured framework for conventional lathe operations at the Faculty of Mechanical Engineering, UiTM Pasir Gudang, to enhance machining efficiency and reduce material waste.

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Published

2026-06-30

How to Cite

A.H. Norshahifudin, S.A. Sulaiman, H.F. Pahroraji, & A.K.M.N. Amin. (2026). INVESTIGATING THE DIFFERENTIAL IMPACT OF MACHINING PARAMETERS ON TOOL WEAR USING DESIGN EXPERT 13. Journal of Mechanical Engineering and Technology (JMET), 18(1), 72–80. https://doi.org/10.54554/jmet.2026.18.01.008

Issue

Section

Plant and Maintenance