典型文献
Research and application of the digitalization of the production process design for plate steels
文献摘要：
There are multiple processes and corresponding parameters in steel production,and combinations of these comprise various process routes.Different steel products require distinct process routes due to variations in performance targets.Thus,how to accurately set each key process parameter in certain process routes is an ongoing conundrum,because it not only requires a wealth of expert experience but also generates additional costs from the trial productions.In this paper,a new production design system for plate steels is proposed.The proposed system consists of methodology and function development.For methodology,multi-task Elastic Net,clustering,classification,and other methods are used to design process routes.Furthermore,the results are expressed in the form of parameter confidence intervals,which are close to practical application scenarios.For function development,the steel plate process route design function is developed on the Process Intelligent Data Application System(PIDAS)intelligent big data platform.The results demonstrate the method's practical application value.
文献关键词：
中图分类号：
作者姓名：
PEI Dezhao;SUN Yibai;LIU Ye
作者机构：
Research Institute,Baoshan Iron & Steel Co.,Ltd.,Shanghai 201999,China
文献出处：
引用格式：
[1]PEI Dezhao;SUN Yibai;LIU Ye-.Research and application of the digitalization of the production process design for plate steels)[J].宝钢技术研究（英文版）,2022(03):11-18
A类：
PIDAS
B类：
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AB值：
0.582862
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