INVESTIGATING THE DIFFERENTIAL IMPACT OF MACHINING PARAMETERS ON TOOL WEAR USING DESIGN EXPERT 13
DOI:
https://doi.org/10.54554/jmet.2026.18.01.008Keywords:
Tool Wear, Design of Experiment, ANOVA, Machining Efficiency , Crater WearAbstract
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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