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VERSION:2.0
METHOD:PUBLISH
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ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 12
SUMMARY:Exploring the influence of chromium and molybdenum on pearlitic microstructure formation in 1% carbon steels
DESCRIPTION:This study aims to investigate the effect of chromium and molybdenum on the formation of pearlitic microstructure in 1% carbon steels. To obtain experimental data, 12mm wires of one benchmark (Fe-1C) and two trial alloys (Fe-1C-1.5Cr and Fe-1C 1.5Mo) are manufactured in-house by casting and hot caliber rolling. These wires are homogenized at a temperature of 1200°C for a holding time of 12 hours. MatCalc and JMatPro software are used to identify the time-temperature and transformation curves for each alloying system. The effects of transformation times and holding temperatures on the pearlite morphology in each alloying system are systematically analyzed and compared by examining the resulting microstructures under an electron microscope. The microstructural features such as lamella length, lamella thickness and inter-lamella spacing for each case are quantitatively analyzed by post-processing the image data using FiJi-ImageJ and Python scripts. The probability and cumulative distribution plots of the microstructural features allow for the comparison and selection of optimal process routes for obtaining similar pearlitic microstructures across all alloying systems.
Furthermore, a phase field simulation is performed to find an optimized heat treatment. The accuracy of the phase field models is validated through experiments. The heat treatment routine for pearlite formation in all three steels is simulated using the MICRESS software and the resulting microstructures are compared with the experimental results. To reduce computational cost, the heat treatment simulations are started from the fully austenitic microstructure and the morphology for this condition is calculated using MatCalc software. The pearlite formation heat treatment is simulated and the thermodynamic parameters are extracted using MatCalc software and literature. With the validated models, microstructures under different heat-treatment processes can be predicted and an optimized heat-treatment condition for all three materials can be obtained.

CLASS:PUBLIC
DTSTART:20230614T090000
DTEND:20230614T092000
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