首页 | 本学科首页   官方微博 | 高级检索  
     

铸铁强度、硬度的液态预测
引用本文:马建华,郭建斌. 铸铁强度、硬度的液态预测[J]. 现代铸铁, 2013, 0(6): 80-83
作者姓名:马建华  郭建斌
作者单位:天津汇丰探测装备有限公司,天津300402
摘    要:结合热分析数据和光谱分析数据,在铁液浇注前对预测抗拉强度、布氏硬度的方法进行了摸索:只根据热分析数据,预测铸铁抗拉强度和布氏硬度的准确度相关系数R只能分别达到0.882和0.769;只根据光谱分析数据,预测铸铁抗拉强度和布氏硬度的相关系数R只能分别达到0.84和0.76;采用热分析数据与光谱分析数据相结合,预测铸铁抗拉强度、布氏硬度的相关系数R可达0.99以上.同时,预估了热分析数据与光谱分析数据相结合方法的优点:(1)降低材质废品率;(2)优化配方和熔炼工艺;(3)节约能耗,降低生产成本.

关 键 词:铸铁  强度  布氏硬度

Strength and Hardness Forecast of Cast Iron in its Liquid State
MA Jian-huaTianjin Huifeng Thermo Sensor Equipment Co.,LTD.,Tianjin,China GUO Jian-bin. Strength and Hardness Forecast of Cast Iron in its Liquid State[J]. Modern Cast Iron, 2013, 0(6): 80-83
Authors:MA Jian-huaTianjin Huifeng Thermo Sensor Equipment Co.  LTD.  Tianjin  China GUO Jian-bin
Affiliation:MA Jian-hua(Tianjin Huifeng Thermo Sensor Equipment Co.,LTD.,Tianjin 300402,China) GUO Jian-bin(Tianjin Huifeng Thermo Sensor Equipment Co.,LTD.,Tianjin 300402,China)
Abstract:When forecasting the tensile strength and hardness of the cast irons basing on only the thermal analysis data,the accuracy correlational coefficient R only reached 0.882 and 0.769 respectively;when forecasting the tensile strength and hardness of the cast irons basing on only the spectrum analysis data,the accuracy correlational coefficient R only reached 0.84 and 0.76 respectively.The method of forecasting tensile strength and hardness of the cast irons before their pouring by combining the thermal analysis data and spectrum analysis data was introduced.The accuracy correlational coefficient R of this method could reach 0.99 and higher.The advantages of this method was forecast.
Keywords:cast iron  strength  hardness
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号