Abstract
The thermal contact conductance (TCC) between billet and tool is a key parameter to determine the contact heat transfer in the thermal processing of alloys and metals. In this work, a self-developed transient contact heat transfer detective equipment was applied to determine the TCC between C276 superalloy and die steel. The temperature variations in specified regions of specimens during transient heat transfer process were measured and the temperatures at contacted interface were programed based on the reverse heat transfer algorithm. Then the values of TCC between C276 superalloy and die steel were calculated. The TCC shows high dependency on the interface temperature, contact pressure, lubricant, and surface oxidation conditions. The increasing interface temperature difference and contact pressure enhanced the thermal contact conductance, while the surface oxidation alleviated the heat transfer capability. In addition, the addition of lubricant was also found to enhance the thermal contact conductance. The determined values are supposed to be of significant importance for processing optimization and numerical simulation.
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Notes on contributors
Chi Zhang
Chi Zhang is currently working in the School of Materials Science and Engineering, DaLian University of Technology. He received his doctorate from Northeastern University in 2012. His main research interests are characterization and numerical calculation of microstructure evolution during metal processing, heat treatment and design and optimization of steel material rolling production process. He has published more than 40 papers in related fields.
Linlei Guo
Linlei Guo is a master student in the School of Materials Science and Engineering, DaLian University of Technology. He graduated from Qingdao University of Science and Technology with a bachelor's degree in 2019. His research interest is experimental investigation of heat transfer between alloys.
Liwen Zhang
Liwen Zhang is working in the School of Materials Science and Engineering, DaLian University of Technology as a PhD supervisor. In 2005, he obtained his PhD degree from Dalian University of Technology. His main research interests are numerical simulation of microstructure evolution during solid state hot working of materials.
Renchao Chen
Renchao Chen is a master student in the School of Materials Science and Engineering, DaLian University of Technology. He graduated from Henan University of Science and Technology with a bachelor's degree in 2016. The main research direction is the numerical simulation of Pilger cold rolling process.
Kangjie Song
Kangjie Song is a PhD student in the School of Materials Science and Engineering, DaLian University of Technology. He graduated with a master's degree from Guizhou University in 2020. He mainly conducts research on crystal plasticity finite element.