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Reliability and economic analysis in sustainable machining of Monel 400 alloy

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Engineering field nurtures a variety of superalloys and its wide applications due to the inherent properties of such material. The prime concern of working engineers is to explore reliability, quality,… Click to show full abstract

Engineering field nurtures a variety of superalloys and its wide applications due to the inherent properties of such material. The prime concern of working engineers is to explore reliability, quality, economy, and machinability analysis of these superalloys. In this work, sustainable machining of Monel 400superalloy using PVD multilayer coated carbide tool under dry turning was studied. Surface roughness (Ra, Rz, and Rq), power (P) and cutting force (Fc) were addressed as responses. The subsequent effect of cutting speed, feed and depth of cut on the responses was explored through response surface methodology (RSM), statistical analysis of variance (ANOVA) and multiple regression analysis. Details of tool wear was observed via scanning electron microscope (SEM) to know the cutting behavior at interface. Further, the reliability and economic analysis were performed to substantiate the feasibility of cutting insert. The investigation reveals that surface roughness was affected by feed and cutting speed. The increase in cutting speed uncovers lower cutting forces with improved surface finish during dry turning which further reduces the power requirement. The economic analysis shows unit production time and unit production cost based on a single insert PVD coated carbide tool under optimum value condition. The reliability analysis exposes the meantime to repair (MTTR) (5 min), mean time between failure (MTBF) (28 min), availability (84.8%), failure rate (0.03), and reliability (80.5%) for the production system.

Keywords: reliability economic; analysis; economic analysis; reliability; machining monel; sustainable machining

Journal Title: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Year Published: 2021

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