Abstract
Incrementally forming sheet metals using a single ball-ended tool is one of steadfast areas in which industry is capable of focusing its attention in the future prospect appropriate to huge opportunities existing in automation. Because of low pace of production and action of spring back that effect the dimension, this process has not been adopted in industries. This technique can get better production rate by increasing the rotating spindle speed significantly. This present paper mainly reveals a multiple response optimization technique on process parameters of SPIF by using combination of entropy weight measurement method and similarity-based approach developed by Deng to find out the optimal parameters. Experiments for this study were designed using an orthogonal array, L27, according to Taguchi’s method taking input factors namely the type of oil, feed rate, step depth, and tool diameter and spindle speed to obtain suitable responses. Optimum conditions were decided based on output response values and an experimental validation conducted using the above decided parameters. After validation, it has been found that there was an improvement of 9.80%.
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Yoganjaneyulu, G., Sathiya Narayanan, C. (2021). Application of Entropy—Deng’s Similarity Approach for Optimization of Single-Point Incremental Forming Process Parameters of Titanium Grade 2 Sheets. In: Arockiarajan, A., Duraiselvam, M., Raju, R. (eds) Advances in Industrial Automation and Smart Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-4739-3_25
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DOI: https://doi.org/10.1007/978-981-15-4739-3_25
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