Modeling of steady state hot flow behavior of API-X70 microalloyed steel using genetic algorithm and design of experiments

详细信息    查看全文

• 作者：H. Abarghooei^a ; ^{hossein.abarghooei@gmail.com} ; H. Arabi^b ; ^{arabi@iust.ac.ir} ; S.H. Seyedein^c ; ^{seyedein@iust.ac.ir} ; B. Mirzakhani^d ; ^{b-mirzakhani@araku.ac.ir}
• 关键词：Dynamic recrystallization ; Microalloyed steel ; Sellars and Mc Tegart equation ; Steady state flow stress ; Genetic algorithm ; Design of experiments ; Taguchi method
• 刊名：Applied Soft Computing
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：52
• 期：Complete
• 页码：471-477
• 全文大小：1153 K
• 卷排序：52

文摘

Hot torsion test was performed to study hot flow behavior of API-X70 steel. Genetic algorithm was used for the first time to model steady state hot flow behavior of API-X70 steel. Taguchi Design of Experiments method was used to reach an optimal value for Genetic Algorithm parameters. The model extracted from GA has higher accuracy with respect to the conventional methods. The GA models take the effect of metallurgical phenomena and predict hot flow behavior with good accuracy.