140
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

Characterization of the Transient Contact Heat Transfer between C276 Superalloy and 5CrMnMo

, , , &
Pages 853-864 | Published online: 16 Aug 2022
 

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.

Additional information

Funding

This research was funded by the National Key Research and Development Program of China (No. 2019YFA0705300), the Joint Research Fund of Natural Science Foundation of Liaoning-the State Key Laboratory of Rolling and Automation, Northeastern University (2019KF0506) and the Fundamental Research Funds for the Central Universities of China (DUT19JC26).

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.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 323.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.