MRR
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Optimization of Surface Roughness and Material Removal Rate in Turning of Al-6061 Using Taguchi Methodology, Fuzzy Logic, and Measurement System Analysis
Abstract: The optimization of machining parameters please a crucial role in improving product quality and productivity in manufacturing processes. This study focuses on the turning of aluminium 6061 alloy, aiming to optimize two key performance measures: Surface Roughness and Material Removal Rate. An integrated approach combining to Taguchi methodology, fuzzy logic and measurement system analysis (MSA) is proposed to achieve this objective. Taguchi design of experiments using and L9 orthogonal array …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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Optimizing Plasma Cutting Parameters for Thin Mild Steel Sheets of Various Thicknesses
Abstract: Plasma machining was investigated for suitability to cut thin sheets and the quality obtained was assessed. The main objective of this investigation is to machine or cut required Mild steel sheet thicknesses and to determine the surface roughness and MRR values. Traditional cutting techniques have been discovered to be costly in terms of both time and resources. This study may be valuable to car converters, such as firms that make …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 1, 2023 · pp. 23–28 Read article