Scholarlink

Abstract <p>Industrial steel casting data are subjected to statistical processing, and a mathematical model and an algorithm for calculating an adaptive coefficient for the heat flux density of a copper mold are developed. The statistical processing of industrial data is shown to reflect the influence of the casting speed on the temperature drop of the cooling water at the inlet and outlet of the mold walls. The calculation of the adaptive heat flux coefficient with allowance for industrial data allows a computer model of heat flux density distribution over the copper wall to be adapted to the operation of a real mold. The presented results can be useful for controlling slab formation and improving the efficiency of monitoring the thermal characteristics of the&#xa0;mold.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Adaptation of a Heat Flux Density Distribution Model for the Copper Wall of a Slab Continuous Casting Mold Using Production Data

  • 期刊论文

  • 发表日期：

    2025年6月1日

查看全文
  • I. M. Yachikov,
  • T. I. Shafikov

摘要

Abstract

Industrial steel casting data are subjected to statistical processing, and a mathematical model and an algorithm for calculating an adaptive coefficient for the heat flux density of a copper mold are developed. The statistical processing of industrial data is shown to reflect the influence of the casting speed on the temperature drop of the cooling water at the inlet and outlet of the mold walls. The calculation of the adaptive heat flux coefficient with allowance for industrial data allows a computer model of heat flux density distribution over the copper wall to be adapted to the operation of a real mold. The presented results can be useful for controlling slab formation and improving the efficiency of monitoring the thermal characteristics of the mold.