|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Generative alloy design based framework for in-silico design of HSLA steels
||Akash Bhattacharjee, KV Vamsi, Bilal Muhammed, Amol Joshi, Gerald Tennyson, BP Gautham
|On-Site Speaker (Planned)
Advanced high strength steels are generally designed to meet target mechanical properties either by modifying the alloy composition or engineering the microstructure via processing. Despite the advances in computational tools available to model the process chain, exploring the vast design space is extremely challenging for achieving the target properties. Recently, generative design approaches that are used in product design are presently being envisaged for alloy design. A generative design based framework is developed for active exploration and optimization of alloy chemistry and process parameters for an integrated computational process chain consisting of casting - reheating - hot rolling - cooling (ROT+coiling) - properties in the design of hot rolled HSLA steel for desired properties through thin slab as well as conventional casting and rolling routes. The details of the novel approach, constraints, and limitations will be presented.
||Planned: Other (describe below)