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热处理及测量方式对纵波声速评价材料硬度的影响
引用本文:门平,董世运,闫世兴,康学良,李恩重.热处理及测量方式对纵波声速评价材料硬度的影响[J].北京航空航天大学学报,2018,44(11):2312-2320.
作者姓名:门平  董世运  闫世兴  康学良  李恩重
作者单位:陆军装甲兵学院 装备再制造技术国防科技重点实验室, 北京100072;中国人民解放军海军 92601部队,湛江524009;陆军装甲兵学院 装备再制造技术国防科技重点实验室,北京,100072
基金项目:国家重点研发计划(2016YFB1100205,2017YFF0207905);国家自然科学基金(51705532);北京市科技专项(Z161100004916009);北京市科技计划(Z161100001516007)
摘    要:硬度是材料力学性能的重要指标之一,目前采用超声无损检测方法评价材料的硬度指标存在诸多挑战。通过搭建高精度声时测量系统,采用超声纵波脉冲反射回波法测量不同热处理45钢试件沿厚度方向的超声波传播声时,计算超声纵波声速。同时改变门信号的测量方式,研究不同热处理及门信号测量方式对超声纵波声速评价材料硬度的影响。建立材料硬度、微观组织以及超声纵波声速之间的映射关系,得到超声纵波声速评价45钢试件硬度指标的标定模型,并对标定模型进行验证。标定模型预测硬度误差满足工程应用误差10%的要求。

关 键 词:纵波声速  硬度  微观组织  测量信号  映射关系
收稿时间:2018-02-08

Influence of heat treatment and measurement methods on material hardness evaluation by longitudinal wave velocity
MEN Ping,DONG Shiyun,YAN Shixing,KANG Xueliang,LI Enzhong.Influence of heat treatment and measurement methods on material hardness evaluation by longitudinal wave velocity[J].Journal of Beijing University of Aeronautics and Astronautics,2018,44(11):2312-2320.
Authors:MEN Ping  DONG Shiyun  YAN Shixing  KANG Xueliang  LI Enzhong
Abstract:Hardness is one of the important indexes of mechanical performance of materials, and employing ultrasonic nondestructive testing method for hardness evaluation faces many challenges now. In this paper, through setting up high-precision ultrasonic wave transmission time measurement system, the longitudinal wave propagation time in the thickness direction of different heat treated 45 steel specimens was measured by pulse reflected echo method, and the longitudinal wave velocity was calculated. Simultaneously, the gate signal measurement methods were changed, and the effects of different heat treatment and gate signal measurement methods on hardness evaluation by the longitudinal wave velocity were studied.On this basis, the mapping relationship among material hardness, microstructure and longitudinal wave velocity was obtained, and the calibration model for evaluating the hardness of 45 steel specimens by longitudinal wave velocity was established and verified. The hardness prediction error by the calibration model meets the error requirement of 10% for engineering application.
Keywords:longitudinal wave velocity  hardness  microstructure  measurement signal  mapping relationship
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