会议论文详细信息
7th National Conference on Processing and Characterization of Materials | |
Optimisation of Ferrochrome Addition Using Multi-Objective Evolutionary and Genetic Algorithms for Stainless Steel Making via AOD Converter | |
Behera, Kishore Kumar^1 ; Pal, Snehanshu^1 | |
Metallurgical and Materials Engineering Department, National Institute of Technology Rourkela, Rourkela | |
769008, India^1 | |
关键词: Bath temperatures; Chromium contents; Conflicting objectives; Ferrochrome; Multi-objective evolutionary; Optimal solutions; Optimisations; Response analysis; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/338/1/012002/pdf DOI : 10.1088/1757-899X/338/1/012002 |
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来源: IOP | |
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【 摘 要 】
This paper describes a new approach towards optimum utilisation of ferrochrome added during stainless steel making in AOD converter. The objective of optimisation is to enhance end blow chromium content of steel and reduce the ferrochrome addition during refining. By developing a thermodynamic based mathematical model, a study has been conducted to compute the optimum trade-off between ferrochrome addition and end blow chromium content of stainless steel using a predator prey genetic algorithm through training of 100 dataset considering different input and output variables such as oxygen, argon, nitrogen blowing rate, duration of blowing, initial bath temperature, chromium and carbon content, weight of ferrochrome added during refining. Optimisation is performed within constrained imposed on the input parameters whose values fall within certain ranges. The analysis of pareto fronts is observed to generate a set of feasible optimal solution between the two conflicting objectives that provides an effective guideline for better ferrochrome utilisation. It is found out that after a certain critical range, further addition of ferrochrome does not affect the chromium percentage of steel. Single variable response analysis is performed to study the variation and interaction of all individual input parameters on output variables.【 预 览 】
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Optimisation of Ferrochrome Addition Using Multi-Objective Evolutionary and Genetic Algorithms for Stainless Steel Making via AOD Converter | 361KB | ![]() |