Modelling feasibility constraints for materials design: Application to inverse crystallographic texture problem

摘要: Abstract The cornerstone of materials design is solving materials-related optimization problems to obtain microstructural or processing variables that lead the most desirable material properties. Because objective maximize their performance, related often require a global solution. This type unconstrained overlooks feasibility solution, which key engineering issue. For any practical application, should be reflected in constraints included problems. Nevertheless, are considerably complex due high dimensionality space and non-physical aspects constraints, such as machine specifications, dimensions, available initial microstructure. In this work, we propose use simple support vector (SVM) trained with information an existing database model for optimization. We present problem involving texture body-centered cubic (BCC) polycrystalline specific target textures after cold-rolling. Both constrained optimizations conducted comparison, results demonstrate yield viable solutions while do not.