Transformation Plasticity in Carbonitrided PM-Steels: Quantification of Plasticity Effects in Dependence of the Part Density*

IF 0.3 Q4 THERMODYNAMICS
J. Damon, S. Dietrich, V. Schulze
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引用次数: 0

Abstract

Abstract To optimize heat treatment processes of case hardened components, heat treatment simulations are used to predict surface layer conditions. Only a precise knowledge and modelling of the transformation processes allows a trustworthy prediction of the hardness and residual stresses in the surface zone. The transformation plasticity mechanism plays an essential role in the heat treatment process and its correct simulation has a significant influence on the resulting calculated residual stress profiles and component distortion. Without considering transformation plasticity, simulative residual stresses are significantly overestimated [1]. In this work, powder metallurgical components are pressed and sintered and subsequently carbonitrided for a dilatometric investigation to characterize the correlation between transformation plasticity effect and the density. The results show a dependence of the austenite-martensite volume change that led to a significant difference of 0.5 Vol-%. A model describing the martensite volume change with respect to density is proposed. This also affects the description of the transformation plasticity constants (K) between K = 5 – 6 × 10–5 MPa–1 in dependence of density. With currently available data, the effect of chemical composition and density cannot be separated and quantified and further studies are therefore necessary to allow such a refinement.
碳氮化pm钢的相变塑性:零件密度对塑性影响的量化*
摘要为了优化淬火件的热处理工艺,采用热处理模拟的方法对表层条件进行了预测。只有对相变过程的精确了解和建模才能对表面区域的硬度和残余应力进行可靠的预测。相变塑性机理在热处理过程中起着至关重要的作用,其正确模拟对计算得到的残余应力分布和构件变形有重要影响。在不考虑转化塑性的情况下,模拟残余应力被明显高估[1]。在这项工作中,粉末冶金成分被压制和烧结,随后进行碳氮化,进行膨胀研究,以表征转变塑性效应与密度之间的关系。结果表明,奥氏体-马氏体体积变化的相关性导致了0.5 Vol-%的显著差异。提出了一个描述马氏体体积随密度变化的模型。这也影响了K = 5 - 6 × 10-5 MPa-1之间随密度变化的相变塑性常数(K)的描述。根据现有的数据,化学成分和密度的影响无法分离和量化,因此需要进一步的研究来进行这种改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.50
自引率
33.30%
发文量
43
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