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首页> 外文期刊>Welding in the World: Journal of the International Institute of Welding: Journal of the International Institute of Welding >Dependency of phase transformation on the prior austenite grain size and its influence on welding residual stress of S700 steel
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Dependency of phase transformation on the prior austenite grain size and its influence on welding residual stress of S700 steel

机译:相变对先前奥氏体晶粒尺寸的依赖性及其对S700钢焊接残余应力的影响

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摘要

The austenite grain size (AGS) before decomposition is a crucial factor for the development of microstructure. However, this dependency is seldom discussed due to the difficulty of observing the grain growth of austenite during welding. In the current work, a grain growth algorithm is combined in a thermodynamics-based metallurgical model for the first time to analyse the influence of prior austenite grain size (pAGS). The phase volume fractions predicted at different cooling rates and pAGSs are compared with the experimental results of the continuous cooling transformation (CCT) diagram. To further investigate the influences of pAGS and microstructure on residual stress, experiments of bead-on-plate welding are conducted at three heat inputs, in which plates of S700 steel are operated by the arc welding process. The geometries after welding, chemical composition in the fusion zone (FZ) and the parameters of the double ellipsoidal heat source are calibrated using the software SimWeld. These geometries are imported to ABAQUS to create a Finite Element (FE) model. The validated metallurgical model together with the grain growth algorithm is implemented in the subroutine ABAMAIN to provide a thorough prediction of microstructure. With the knowledge of temperature and phase distributions, a coupled thermo-metallo-mechanical FE model is established to predict the residual stress distributions. The material properties are assigned by interpolating the individual phase property with its volume fraction. By comparing the results predicted by the model assuming constant pAGS, the influence of the pAGS on the residual stress is manifested. Moreover, simulations using overall material properties are also conducted. The stress distributions in the middle of plate surface are plotted along with the volume fractions of product phases to analyse the sensitivity of the residual stress to microstructure.
机译:分解前的奥氏体粒度(AGS)是显微结构发展的关键因素。然而,由于难以在焊接期间观察奥氏体的谷物生长,因此很少讨论这种依赖性。在当前的工作中,首次将谷物生长算法组合在基于热力学的冶金模型中,分析了先前奥氏体晶粒尺寸(PAG)的影响。将以不同的冷却速率和PAGS预测的相体积分数与连续冷却变换(CCT)图的实验结果进行比较。为了进一步研究PAG和微观结构对残余应力的影响,在三个热输入下进行珠子板焊接的实验,其中通过电弧焊接工艺操作S700钢板。使用SIMWELD软件校准焊接区域(FZ)中的焊接后,化学成分和双椭圆形热源参数的几何形状。这些几何形状导入到ABAQUS以创建有限元(FE)模型。经过验证的冶金模型与晶粒生长算法一起在亚紫氨因中实施,以提供对微观结构的彻底预测。凭借温度和相位分布的知识,建立了耦合的热金属机械FE模型来预测残留应力分布。通过将各个相位性能与其体积分数插入各个相位性来分配材料特性。通过比较假设恒定PAG的模型预测的结果,表现出PAG对残余应力的影响。此外,还进行了使用整体材料性质的模拟。板表面中间的应力分布与产品相的体积分数一起绘制,以分析残余应力对微观结构的敏感性。

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