Abstract
In foundry industries, various additives are used to increase the sand mould properties such as green strength and permeability number. In the present paper, camphor has been used as additive to enhance the mould’s permeability so as to improve the casting quality. The optimum quantity of camphor that can be added to the sand mixture was found to be 1 wt%. Further, prediction of green sand mould permeability number has been done using both artificial neural network (ANN) and adaptive neuro-fuzzy interference system (ANFIS). The models were built using experimental data as per Taguchi’s L27 orthogonal array (OA). The predicted permeability numbers by both models were found to be very close to that of experimental values; however, the predictability of ANFIS model was found to be better than ANN model as the error percent was less in former case.
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Sahoo, P.K., Pattnaik, S., Sutar, M.K. (2020). Parametric Optimization of Permeability of Green Sand Mould Using ANN and ANFIS Methods. In: Li, L., Pratihar, D., Chakrabarty, S., Mishra, P. (eds) Advances in Materials and Manufacturing Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-1307-7_56
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DOI: https://doi.org/10.1007/978-981-15-1307-7_56
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