Abstract
Predicting the life of blanking punch is one of the major concerns in designing 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 utilized 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 utilized in machine tool applications.
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Salunkhe, S., Rajamani, D., Balasubramanian, E. (2019). Comparison of Artificial Neural Network and Adaptive Neuro Fuzzy Inference Systems for Predicting the Life of Blanking Punch. In: Silva, L. (eds) Materials Design and Applications II. Advanced Structured Materials, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-02257-0_1
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