Inverse Optimization to Design Processing Paths to Tailor Formability of Mg Alloys

Due to the poor formability of Mg alloys at low temperatures, robust methods are needed to intelligently tailor the formability of Mg alloys for given forming processes such that specific parts can be successfully manufactured. One method of tailoring formability comes from altering the texture of Mg alloys. In our recent works, an invariant parameter called the Anisotropy Effect on Ductility (AED) has been proven to correctly portray physical formability measurements derived from tension and compression tests on textured AZ31 Mg alloy. In the present work, a Visco-Plastic Self-Consistent (VPSC) crystal plasticity modeling has been used to simulate Equal Channel Angular Pressing as a processing method to alter texture using various routes. In order to create an AZ31 Mg alloy with a particular AED parameter or formability, an automated inverse optimization strategy has been used to predict the routes needed to attain target amount of formability required by applications.