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METALLURGiCAL RESEARCH THROUGH IMPLEMENTATION: A NEW TECHNOLOGY FOR SUSTAINABLE PRODUCTION OF SUPERIOR QUALITY HOT ROLLED COIL

机译:冶金研究通过实施:一种可持续生产高品质热轧卷的新技术

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The microstructural phenomena of recovery, recrystallization, precipitation, grain growth and phase transformation during thermomechanical processing of steel, are applied to estimate of final microstructure of steel strips, produced through hot rolling in a hot strip mill. A set of mathematical models is developed to simulate thèse behaviors and the final microstructure, and to assess the mechanical properties therefrom. The aim to develop a suitable technology to control the product properties during actual processing stage itself, and that too over the whole length of a coil, rather than post-production product-testing stage for a single sample from one end of coil (as practiced Worldwide today). Thus, the new technology exploits the 'advanced microstructural engineering' to provide solution for a problem the world faces today -how to maintain uniform mechanical properties over the entire length of a coil, especially important for microalloying grades used for gas pipelines and automotive applications. An innovative approach is undertaken to combine the above set of physical metallurgical models with a data driven Artificial Neural Network Model to include process uncertainties into the final assessment of mechanical properties. Danieli CQE (Coil Quality Estimator), based this approach, was implemented in the United Metallurgical Company (OMK), at Vyksa, Russia - one of the largest pipe manufacturers of oil and gas pipelines for arctic applications. Danieli CQE ensures uniformity of mechanical property over the length of a coil, and thereby reducing downgrades. The system is applicable for low, medium, high carbon, and microalloying grades. Apart from ensuring superior quality product, it is very useful to identify the appropriate process window for development of new products. It is also useful for process optimization, and to ensure minimum utilization of energy and resources including expensive ferroalloys to produce any given grade of hot rolled coil.
机译:钢热机械加工期间的回收,重结晶,沉淀,晶粒生长和相变的微观结构现象应用于钢带的最终微观结构估计,通过热轧带钢中的热轧产生。开发了一组数学模型来模拟Thèse行为和最终组织,并从中评估机械性能。旨在开发合适的技术来控制实际处理阶段本身期间的产品特性,并且在线圈的整个长度上也过度,而不是从线圈一端的单个样品的生产后产品测试阶段(如实践今天全世界)。因此,新技术利用“先进的微观结构工程”为世界脸部的问题提供解决方案 - 在线圈的整个长度上保持均匀的机械性能,对于用于气体管道和汽车应用的微合金等级特别重要。采用创新方法将上述一组物理冶金模型与数据驱动的人工神经网络模型结合起来,包括过程不确定性进入机械性能的最终评估。基于这种方法的Danieli CQE(线圈质量估算器)在United Metallgical Company(OMK)中实施,俄罗斯Vyksa - 北极应用最大的油气管道制造商之一。 Danieli CQE确保在线圈的长度上确保机械性质的均匀性,从而减少降级。该系统适用于低,中,高碳和微合金等级。除了确保优质的产品外,确定适当的工艺窗口是为了开发新产品。它对过程优化也是有用的,并确保最低利用能量和资源,包括昂贵的铁合金,以产生任何给定等级的热轧线圈。

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