Abstract:
Now-a-days increasing in the productivity and the quality of the machined parts are the main challenges of metal cutting industry during turning processes. Optimization methods in turning processes, considered being a vital role for continual improvement of output quality in product and processes include modeling of input-output and process parameters relationship and determination of optimal cutting conditions. This paper presents an optimization method of the cutting parameters (cutting speed, depth of cut and feed) in dry turning of Titanium Grade -5 alloy and carbide tool to achieve minimum tool wear and low work piece surface temperature. In the improvement of output quality of the product, the optimization technique like Taguchi’s method is a very good tool and effective method to improve performance and quality of manufacturing industries. To achieve minimum tool wear the surface temperature of the workpiece should be low. The experiment design or design of experiment based on the Taguchi's L9 orthogonal array technique was performed to identify the effect of cutting parameters on the different response variables. The results of the turning machining experiments of titanium-grade-5 characterize the main factors affecting the surface roughness by analysis of variance (ANOVA) method. The minimum tool wear was found at a lower speed and the feed rate was found to be the most significant parameters to influence the surface roughness of grade -5 materials in turning process
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