CAJ | 학술논문

电渣熔铸是一种将精炼和成形相结合的技术,在实际生产中既要充分发挥它在材料提纯精炼方面的优势,又要兼顾生产效率和生产成本等因素,因此是一个典型的多目标组合优化的问题.为此,提出了用电极锥头提纯系数、自耗电极熔化率和有效功率因数3个指标作为最终优化目标,以熔铸电流、渣池深度和冷却水流量为设计变量,基于人工神经网络和遗传算法理论,在Matlab平台上建立了电渣熔铸工艺参数的多目标优化系统,较好地协调了3个指标的相互关系,并预测了最佳的工艺参数组合.
전사용주시일충장정련화성형상결합적기술,재실제생산중기요충분발휘타재재료제순정련방면적우세,우요겸고생산효솔화생산성본등인소,인차시일개전형적다목표조합우화적문제.위차,제출료용전겁추두제순계수、자모전겁용화솔화유효공솔인수3개지표작위최종우화목표,이용주전류、사지심도화냉각수류량위설계변량,기우인공신경망락화유전산법이론,재Matlab평태상건립료전사용주공예삼수적다목표우화계통,교호지협조료3개지표적상호관계,병예측료최가적공예삼수조합.
Electro-slag casting is a technology combining refinement with forming, which exhibits a multi-objective problem due to not only utilizing the advantages of purifying materials but also considering product efficiency and cost. The purification coefficient of consumable electrode end, melting ratio of consumable electrode and effective power factor are presented to be taken as the optimized target. A multi-objective optimized system of processing parameters for electroslag casting was established on the Matlab platform based on artificial neural network and genetic algorithm theory by designing remelting current, depth of slag pool and flow rate of cooling water as variables, showing a positive reference for practical production.