optimization of steel composition using genetic algorithm(vol-2)

computer engineering

The process of steel making is done by alloying iron with other alloying elements like carbon, nickel, manganese, molybdenum etc. Engineering processes currently being used, depends on the experience of the operating engineers overseeing the execution. This causes a lot of oversights and inaccuracies in the process. These inconveniences can be reduced or eliminated by computational optimization, but many of these problems are complicated and deal with multiple factors affecting the final product. Even more so, many of these problems also suffer from the unavoidable drawback of having sub-optimal solutions. All of these problems can be overcomed by process simulation and using robust optimizing techniques such as genetic algorithm. The process of selecting an alloying composition for steel requires computation of many variables and also includes multiple compositions that can provide the desired hardness and also provide the ideal “depth of hardness”.

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