Phases in Zn-coated Fe analyzed through an evolutionary meta-model and multi-objective Genetic Algorithms | www.esteco.com

Phases in Zn-coated Fe analyzed through an evolutionary meta-model and multi-objective Genetic Algorithms

Author(s): 
Pankaj Rajak, Baidurya Bhattacharya, Nirupam Chakraborti (Indian Institute of Technology, Kharagpur, India), Ujjal Tewary and Sumitesh Das (TATA Steel, Jamshedpur, India)

Various interfaces in Zn coated steel are examined for their stability on the basis of two conflicting requirements of minimum deformation at a maximum absorption of shear energy. The shearing process is simulated using a Molecular Dynamics technique and meta-models of both energy and strain are constructed using an Evolutionary Neural Network that itself evolved through a multi-objective Genetic Algorithm. Simultaneous optimization of deformation and energy absorption is conducted with a Predator–prey Genetic Algorithm and the resulting Pareto frontiers are analyzed and discussed. The findings show good correspondence with existing experimental observations.