【作者】 卢世康； 陈雨来； 余伟；

【Author】 Lu Shikang;Chen Yulai;Yu Wei;Engineering Technology Institute, University of Science and Technology Beijing;

【机构】 北京科技大学工程技术研究院；

【摘要】 本文以38Mn Si VS中碳非调质钢为研究对象,采用光学显微镜(OM)、扫描电子显微镜(SEM)、透射电镜(TEM)和定量金相方法,确定各样品中铁素体的铁素体体积分数fa,铁素体晶粒尺寸da以及珠光体片层间距S0。热力学计算第二相V(C,N)体积分数约为0.002,TEM下观察了析出物粒子的形貌,第二相V(C,N)粒子尺寸大多在4～8nm范围内。通过数值回归方法,建立材料组织-性能预测模型的物理冶金模型。其中对屈服强度预测模型误差控制在±3.0%以内,对抗拉强度预测模型误差控制在±3.5%以内,室温下冲击功预测模型误差在±5.0%以内。更多还原

【Abstract】 In this paper, the 38 MnSiVS medium carbon non-quenched and tempered steel was taken as the research object, the ferrite volume fraction fa, ferrite grain size da and pearlite lamellar spacing S₀ were determined by Optical Microscopy（OM）, Scanning Electron Microscopy（SEM）, Transmission Electron Microscopy（TEM） and quantitative metallography. The volume fraction of V（C, N） is about 0.002 by thermodynamics. The morphology of precipitates is observed by TEM. The size of V（C, N） is mostly in the range of 4～8 nm. The physical metallurgical model of material microstructure-property prediction model was established by numerical regression method. The error of yield strength prediction model is within ±3.0%, tensile strength prediction model is within ±3.5% and absorbed energy prediction model is within ±5.0% at room temperature.更多还原