Design Optimization of a Wafer Dough Blade Using Artificial Neural Network and Monte-Carlo Simulation
Murat MAYDA,
Mesut BİTKİN
Abstract:In this work, a systematic method to conduct the surrogate-based design optimization is proposed by utilizing Artificial Neural Network and Monte Carlo Simulation. To show its applicability, the design optimization of a wafer dough blade that is an important component in the food industry is carried out. In the optimization problem, design variables or inputs are totally six variables including distances, diameter and thickness, and design responses or outputs are the blade mass, the maximum stress occurred on… Show more
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