111
Views
0
CrossRef citations to date
0
Altmetric
Part A: Materials Science

A novel analytical approach to ascertain hardenability of plain carbon steel

&
Pages 407-434 | Received 05 Jun 2022, Accepted 22 Nov 2022, Published online: 15 Dec 2022
 

ABSTRACT

An analytical model is conceived to correlate thermal processing parameters, phase transformation parameters, microstructural features and the resultant hardening response of steel. Three equations evolved thereby readily resolve the issues of direct graphical determination of hardenability parameters, variation of unhardened core region with the diameter of steel and quantitative prediction of the microstructure. The model is successfully validated with existing experimental database of hardenability parameters following chemical composition-cum-grain size method as well as in view of own experimentation carried out on available steel. This elucidates a new conduit of understanding thermal processing-based solid state phase transformation in steel.

Acknowledgements

The analytical model is conceived and formulated by Professor Joydeep Maity. Further necessary support to computation and experimental work is provided by Mr. Anupam Sharma under the guidance of Professor Joydeep Maity. No external funding source is utilised for carrying out this research work. The authors are thankful to the Director, National Institute of Technology Durgapur, India, for necessary administrative support.

Disclosure statement

No potential conflict of interest was reported by the author(s).

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 786.00 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.