Optimisation of Tool Wear and Cutting Forces on the basis of different Cutting Parameters

Production Engineering

In this era, increasing productivity and quality of machined parts are key challenges to manufacturing industries. As this is the era of customized market rather than custom market, thus the company have to keep pace with it. In this global environment, all the companies are continuously trying to produce high quality products at least cost and it is only possible it companies will reduce the defect rate. Optimization methods in any manufacturing process plays a vital role for continuous improvement of results considering numerous factors which affect it. In present research work an attempt has been made to optimize cutting parameters such that to reduce the value of tool wear in turning operation on mild steel work piece. All the experiments were designed as per design of experiment (DOE) i.e. Taguchi Methodology and 27 runs work conducted as per L-27 Array Technique. Furthermore, Signal to Noise Ratio and Analysis of Variance (ANOVA) were applied and tables were generated to study various performance conditions at varying parameters. For performing experiments, different parameters were chosen at various levels i.e. Depth of cut, Spindle speed, Feed rate, etc. and cutting force is also taken as dependent variable. The results obtained from this work will be highly beneficial for any small scale industry and will definitely reduce the tool wear and will improve the quality of product. From the results and analysis finally it is identified that Depth of cut is the main parameter which affect the tool wear. Thus all the machinist or industries should keep Depth of cut in precise range, so that better results can be obtained.

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