Bioinspired Algorithms used in Material Modeling and Numerical Simulation of Metal Processing: Plenary Talk

Abstract

Metal processing evolves complicated invariances of microstructures, material properties, and processing conditions. Modeling of material behaviors and interactions among microstructures, properties and processing conditions are fundamental to carry out numerical simulation of metallic material processing. Besides commonly used data fitting and searching methods, bioinspired algorithms provide methods to build material models and solve material processing parameter optimization problems. Bioinspired algorithms used in numerical simulation of materials processing are briefly reviewed, applications of bioinspired algorithms to numerical simulation of plastic forming and heat treatment are introduced. Artificial neural network (ANN) is applied to describe plastic deformation behaviors of metals dependent on temperature, strain and strain ratio, particle swam optimization (PSO) is used to solve invert heat conduct problems and build models of heat transfer coefficients during quenching, dynamic recrystallization in steels is calculated by using CA.