Abstract
In this study, a drilling experiment was conducted on titanium alloy material by varying point angle of a carbide drill bits. The variables in the experiment were drilling speed, feed rate and point angle. A hybrid optimization technique, Taguchi-based fuzzy logic approach, is used to organize the drilling experiment. Totally, 27 experiments were conducted as per Taguchi L27 orthogonal array. The adequacy of experiment is further validated using normal probability values and residuals involved in the experiment. Moreover, the analysis of variance is used to identify the significant variable involved in the experiment. A fuzzy logic approach is used to validate the experiment by developing rules logically in a fuzzy inference system. Three membership functions for the inputs and nine membership functions for the outputs were considered in order to improve the accuracy of the predicted results. It is observed that feed rate and point angle are playing a vital role in the conducted experiment. And the overall effectiveness of the drilling experiment has improved by using Taguchi-based fuzzy approach.
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Vijayan, D., Rajmohan, T., Raajesh Kanna, A. (2021). An Experimental Study on Drilling of Titanium Alloy Using Taguchi-Based Fuzzy Logic Approach. In: Rajmohan, T., Palanikumar, K., Davim, J.P. (eds) Advances in Materials and Manufacturing Engineering. Springer Proceedings in Materials, vol 7. Springer, Singapore. https://doi.org/10.1007/978-981-15-6267-9_55
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DOI: https://doi.org/10.1007/978-981-15-6267-9_55
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