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Thermodynamic optimization of individual steel database by means of systematic DSC measurements according the CALPHAD approach

机译:根据Calphad方法通过系统DSC测量的各个钢数据库的热力学优化

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Reliable thermodynamic data are essential information required for the design of new steel types and are a prerequisite to effective process optimization and simulation. Moreover, it is important to know the exact temperatures at which the high-temperature phase transformations (T_(Liquid), T_(Solid), T_(Perit), T_y s) occur in order to describe the solidification sequence and to describe further processing parameters. By utilizing DTA/DSC measurements, our earlier experimental studies of selected commercial DP, TRIP and high-Mn TWIP steels, have indicated that currently commercially available databases can often not be utilised to reliably describe the behaviour and microstrucrural development in such complex alloy systems. Because of these ostensible deficiencies, an experimental study was undertaken in an attempt to determine the pertaining thermodynamic data to analyse the behaviour of the important five-component Fe-C-Si-Mn-Al alloy system. High purity model alloys with systematic alloy variations were prepared and utilized in order to determine the influence of individual alloying elements in this complex, but industrially important alloy system. The present study provides new validated experimental thermodynamic data and analysis of the five-component Fe-C-Si-Mn-Al system, which will allow the construction of new phase diagrams, prediction of solidification sequences and the assessment of micro-segregation.
机译:可靠的热力学数据是新钢型设计所需的基本信息,是有效过程优化和仿真的先决条件。此外,为了知道在该高温相变(T_(液体),T_(固体),T_(Perit),T_y S)发生,以描述凝固序列,并描述进一步处理的确切温度下,它是很重要参数。通过利用DTA / DSC测量,我们对所选商业DP,跳闸和高MN Twip钢的早期实验研究表明,目前商业上可获得的数据库通常不能用于可靠地描述这种复合合金系统中的行为和微克的发展。由于这些表面上缺陷,进行了实验研究,试图确定有关热力学数据以分析重要的五组分Fe-C-Si-Mn-Al合金系统的行为。制备和利用具有系统合金变化的高纯度模型合金,以确定该复合物中的个体合金元素的影响,但工业上重要的合金系统。本研究提供了新的验证的实验热力学数据和对五组分Fe-C-Si-Mn-Al系统的分析,允许建造新的相图,预测凝固序列和微偏析的评估。

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