Prediction of life of piercing punches using artificial neural network and adaptive neuro fuzzy inference systems
by Sachin Salunkhe; D. Rajamani; Esakki Balasubramanian; U. Chandrasekhar
International Journal of Materials Engineering Innovation (IJMATEI), Vol. 10, No. 1, 2019

Abstract: Predicting the life of piercing punch is one of the major concerns in the design of compound dies. Finite element analysis is performed to determine the maximum and minimum principal stresses through which fatigue limit of punch is estimated. The factors affecting the life of punch are examined and a mathematical model is established using artificial neural network (ANN) and adaptive neuro fuzzy inference systems (ANFIS). The developed model is utilised to evaluate the life of punch for varied load conditions. Comparative evaluation of ANN and ANFIS results suggested that the later model is superior in predicting the life of punch and it can be effectively utilised in machine tool applications.

Online publication date: Fri, 22-Feb-2019

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