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Application of a heuristic search technique for the improvement of spray zones cooling conditions in continuously cast steel billets

机译：启发式搜索技术在改善连铸钢坯喷雾区冷却条件中的应用

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摘要

The process of casting occupies an important place in the metallurgical industry, and the entire world of the metal user. In the past, the ingot casting-rolling (slabbing, blooming, or billeting) process was commonly used. The continuous casting process has largely replaced this earlier method because of the inherent advantages of energy savings, enhanced productivity, higher yield and reduced costs. However, continuous casting process is not without of its problems. Considerable effort has been made by many researches to establish adequate design, operation and maintenance of continuous casting machine to ensure metallurgical quality of the final product. One of the most severe defects in continuous casting products is concerned with the cracks provoked by improper design of the spray cooling system. The aim of this work is to develop a two dimensional heat transfer model based on the finite difference method in order to calculate the strand temperatures and the solid shell profile along the machine. An Artificial Intelligence heuristic search procedure interacts with the numerical model to determine the improved cooling conditions for the sprays zones of a real continuous caster for the production of quality billets.
机译：铸造工艺在冶金行业以及整个金属用户世界中占有重要地位。过去，通常使用铸锭铸造-轧制（扁坯，方坯或方坯）工艺。由于节省能源，提高生产率，提高产量和降低成本的固有优势，连续铸造工艺已在很大程度上取代了该早期方法。然而，连续铸造过程并非没有问题。为了确保最终产品的冶金质量，许多研究已经做出了相当大的努力来建立连续铸造机的适当设计，操作和维护。连铸产品中最严重的缺陷之一是由于喷雾冷却系统设计不当而引起的裂纹。这项工作的目的是基于有限差分法开发二维传热模型，以便计算沿机器的线束温度和固体壳轮廓。人工智能启发式搜索程序与数值模型交互作用，以确定用于生产优质钢坯的真实连铸机喷雾区域的改进冷却条件。

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