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MODEL FOR PREDICTION OF HARDENABILITY DURING STEEL PROCESSING

机译:钢加工过程中的可锻性预测模型

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The hardening process of modern steel places new demands on accurate hardenability predictions in connection with hot rolling and reheating processes. The complex matter of particle precipitation and microstructure development during processing necessitates an accurate kinetic hardenability model. The benefit is reduced costs for material development as well as production costs with improved properties of the final products. The present work aims to develop a hardenability model, which integrates the phenomena of grain growth and particle dissolution during reheating with hardenability calculations. The particle dissolution sub-model determines the effective amount of the alloying elements that are in solution in the austenite to improve the hardenability of the steel. The grain growth model calculates the development of grain sizes from an initial chosen distribution and the Zener pinning effect. The hardenability model calculates Ideal Diameter (DO, Jominy distance to 50% martensite and surface hardness after quenching.
机译:现代钢的淬火工艺对与热轧和再加热工艺相关的精确淬火性预测提出了新的要求。加工过程中颗粒沉淀和微观结构发展的复杂问题需要精确的动力学淬透性模型。好处是降低了材料开发成本,并降低了生产成本,同时提高了最终产品的性能。本工作旨在开发一种可淬性模型,该模型将再加热过程中的晶粒长大和颗粒溶解现象与可淬性计算相结合。颗粒溶解子模型确定在奥氏体中溶解的合金元素的有效量,以提高钢的淬透性。晶粒生长模型根据初始选择的分布和齐纳钉扎效应计算晶粒尺寸的变化。淬透性模型计算出理想直径(DO,淬火后到50%马氏体的乔米尼距离和表面硬度)。

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