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Analysis of Solidification of High Manganese Steels Using Improved Differential Thermal Analysis Method

Analysis of Solidification of High Manganese Steels Using Improved Differential Thermal Analysis Method

作     者:Chang-ling ZHUANG Jian-hua LIU Christian BERNHARD Peter PRESOLY 

作者机构:Engineering Research Institute University of Science and Technology Beijing Chair of Metallurgy Montanuniversitat Leoben 

出 版 物:《Journal of Iron and Steel Research International》 (J. Iron Steel Res. Int.)

年 卷 期:2015年第22卷第8期

页      面:709-714页

核心收录:

学科分类:080602[工学-钢铁冶金] 08[工学] 0806[工学-冶金工程] 

基  金:Sponsored by National Natural Science Foundation of China(51374023) 

主  题:DTA high manganese steel solidification liquidus temperature solidus temperature 

摘      要:High manganese steels can damage the differential thermal analysis (DTA) instrument due to the manganese evaporation during high temperature experiments. After analyzing the relationship between residual oxygen and manganese evaporation, tanta- lum metal was employed to modify the crucible of DTA, and zirconium getter together with strict gas purification measures were applied to control the volatilization of manganese. By these modifications, problems of thermocouple damage and DTA instrument contamination were successfully resolved. Cobalt samples were adopted to calibrate the accuracy of DTA instruments under the same trial condition of high manganese steel samples, and the detection error was confirmed to be less than 1 ℃. Liquidus and soli- dus temperatures of high Mn steels were measured by improved DTA method. It was found that the liquidus temperatures of sam- ples tested by experiments increased linearly with the heating rates. To eliminate the effects of the heating rate, equilibrium liquidus temperature was determined by fitting the liquidus temperatures at different heating rates, and referred as real liquidus temperature. No clear relationship between solidus temperatures and heating rates was found, and the solidus temperature was finally set as the average value of several experimental data.

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