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MODEL FOR PREDICTION OF HARDENABILITY DURING STEEL PROCESSING

机译:钢加工过程中淬透性预测的模型

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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:现代钢材的淬火过程将新的要求与热轧和再加热过程相关的准确淬透性预测。在加工过程中颗粒沉淀和微观结构显影的复杂物质需要准确的动力学淬透性模型。该益处降低了材料开发成本,以及最终产品的性质的生产成本。本作者旨在发展一种淬透性模型,其在再加热性计算过程中整合谷粒生长和颗粒溶解的现象。颗粒溶解子模型确定奥氏体中溶液中的合金元素的有效量,以改善钢的淬透性。谷物生长模型从初始选择的分布和齐纳钉扎效果计算晶粒尺寸的发展。淬透性模型计算理想直径(淬火后,达到50%马氏体和表面硬度。

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