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Machinability Analysis and Optimization in Micro turning on tool wear for Titanium Alloy

S. Selvakumar, V. S. Sreebalaji, K. Ravikumar

2021Materials and Manufacturing Processes24 citationsDOI

Abstract

Micromachining is the essential technology for production of miniaturized parts and components, which plays a lot of roles in today’s manufacturing technology with space limitations of products and economical aspects. In this investigation, response surface methodology with box-behnken design (BBD) is used to optimize the micro-turning parameters based on the relationships and interactions among the variables on tool wear. For conducting the experiment(s), three process parameters namely, cutting speed, feed, and depth of cut were considered and Titanium alloy is used as the base material with cermet insert. According to the design of matrix, totally 15 trials were conducted for different combinations of process parameters. The mathematical model is developed and as a role of process parameters, to calculate the output responses and the same were analyzed by using ANOVA with contour plots. In this paper, an investigation has been prepared for optimum machining conditions to produce the minimum tool wear 0.133 mm, and their optimized parameters cutting speed 3459 rpm, feed rate 7.4 µm/rev, with depth of cut 15 µm by 100% desirability. Among these optimal parameters, it minimizes the tool wear for the progress of tool life with suitability.

Topics & Concepts

MachinabilityMaterials scienceMachiningTool wearCermetTitanium alloyResponse surface methodologyMechanical engineeringInsert (composites)Design of experimentsProcess (computing)Cutting toolMetallurgyAlloyEngineering drawingProcess engineeringComputer scienceComposite materialCeramicEngineeringMathematicsMachine learningStatisticsOperating systemAdvanced machining processes and optimizationAdvanced Machining and Optimization TechniquesAdvanced Surface Polishing Techniques
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