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To Predict Surface Roughness and Linear Shrinkage of Die Casting Process by Using of Fuzzy Algorithm Model

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Advances in Computational Methods in Manufacturing

Abstract

This research paper narrates a manually constructed Mamdani based on fuzzy algorithm model for envisaging surface roughness and linear shrinkage of die casting, so that defects can be refrained from the casting in terms of surface finish and dimensions. A set of rules established by the help of mathematical model have been used to derive two fuzzy controllers which are being used in this process. With the help of this fuzzy algorithm, high production rate and high quality of products can be obtained by controlling process parameters. Confirmation experiments reveal that these fuzzy logics are able to attain optimum grouping of the process parameters. Hence, the quality of casted products in die casting process can be improved to a greater extent by this approach. The predicted surface roughness and linear shrinkage by this model had an error of only 3.55 and 6.02%, respectively, which was confirmed by checking the validity of the model developed by performing confirmation experiments. This proposed model can be reasonably utilized by the industries involved in die casting around the world to increase the overall effectiveness of the process and product.

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Correspondence to Narendra Krishania .

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Krishania, N., Birru, A.K. (2019). To Predict Surface Roughness and Linear Shrinkage of Die Casting Process by Using of Fuzzy Algorithm Model. In: Narayanan, R., Joshi, S., Dixit, U. (eds) Advances in Computational Methods in Manufacturing. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9072-3_39

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