Optimal Batching Plan of Deoxidation Alloying based on Principal Component Analysis and Linear Programming  

作　　者：Zinan Zhao Shijie Li Shuaikang Li 

机构地区：[1]Metal Materials Engineering,Metallurgy and Energy College of North China University of Science and Technology,Tangshan,Hebei,063210,China

出　　处：《Journal of Mechanical Engineering Research》2020年第2期11-16,共6页机械工程研究（英文）

摘　　要：As the market competition of steel mills is severe,deoxidization alloying is an important link in the metallurgical process.To solve this problem,principal component regression analysis is adopted to reduce the dimension of influencing factors,and a reasonable and reliable prediction model of element yield is established.Based on the constraint conditions such as target cost function constraint,yield constraint and non-negative constraint,linear programming is adopted to design the lowest cost batting scheme that meets the national standards and production requirements.The research results provide a reliable optimization model for the deoxidization and alloying process of steel mills,which is of positive significance for improving the market competitiveness of steel mills,reducing waste discharge and protecting the environment.

关 键 词：Deoxidization alloying Principal component regression analysis Linear programming Optimization of dosing scheme 

分 类 号：TG1[金属学及工艺—金属学]