Peter Madindwa Mashinini
Papers
4
Total Citations
16
H-Index
3
About
Peter Madindwa Mashinini is a materials and manufacturing engineer whose research sits at the intersection of advanced manufacturing, smart production, and composite materials. His work focuses on optimizing machining processes through artificial intelligence, particularly using artificial neural networks to predict and enhance wire electric discharge machining parameters for smart manufacturing applications—a contribution that has already garnered significant early attention. Mashinini has also made notable contributions to the study of aluminum matrix composites, investigating how shock wave surface treatments and T6 heat treatment conditions influence the vibration behavior and natural frequency of aluminosilicate-reinforced materials. His research extends to shape memory alloys, where he has applied multi-criteria decision-making methods like TOPSIS to improve wire EDM process parameters for TiNiCo alloys used in biomedical, aerospace, and robotics applications. With his most-cited work accumulating citations since 2020, Mashinini is establishing himself as a rising voice in sustainable and intelligent manufacturing, bridging the gap between traditional materials science and Industry 4.0 technologies.
Research Focus
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Top Papers
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