The main metallic metals used in medicine include titanium and its alloys, Co-based alloys and austenitic stainless steels. Titanium alloys are rarely used in friction contact due to their poor abrasion resistance. Austenitic stainless steels are used for short-term implants such as screws, plates and nails because austenitic stainless steels may cause allergic reactions in many patients due to their poor corrosion resistance. Meanwhile, Co-based alloys have been widely used as femoral elements because of their good corrosion and wear resistances and biocompatibility.
Chromium and molybdenum are important alloying elements of Co-based alloys. Chromium improves resistance against oxidation and corrosion at high temperature, while molybdenum of large atomic size increases the strength through solid solution strengthening.
The understanding of the hot flow stress behavior of materials is essential for the numerical simulation of thermo-mechanical processing routes such as forging, rolling, etc. So, it is quite important to develop a constitutive material model.
Ryang Chol Song, a student at the Faculty of Material Science and Technology, developed and compared several constitutive material models for accurately predicting the flow stress during hot working of Co-28Cr-6Mo alloys.
He constructed a modified Johnson-Cook (MJC) model, a strain compensated Arrhenius-type (SCAT) model and a microstructure-based constitutive (MBC) model in a wide range of temperatures (900-1 200℃) and strain rates (0.001-10s-1).
Then, he compared the average absolute relative error and correlation coefficient for the proposed models. The results are as follows. The correlation coefficient and AARE are 0.985 7 and 7.8% for the MJC model, 0.950 4 and 13.01% for the SCAT model, and 0.994 8 and 2.45% for the MBC model, respectively.
The results show that the proposed MBC model is best suited to predict the hot flow stress behavior of biomedical grade Co-28Cr-6Mo alloy.
For more information, please refer to his paper “Development of Several Constitutive Models to Predict Flow Stress of Biomedical Grade Co–28Cr–6Mo Alloy during Thermo-Mechanical Processing” in “Russian Journal of Non-Ferrous Metals” (SCI).
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