Regression-based CVN-KIC Models for hot work tool steels

S. Z. Qamar, A. K. Sheikh, A. F M Arif, T. Pervez

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Dies and tools used in hot metal forming (extrusion, forging, rolling, etc.) are exposed to high pressures, elevated temperatures, and thermo-mechanical fatigue. The most common mode of in-service die failure is fatigue fracture (brittle failure through crack propagation). Reliable determination of fracture toughness of the die material is thus critically important. However, as die steels have a combination of high-hardness and high-strength, and are used at elevated temperatures, standard plane-strain fracture toughness (KIC) testing methods become impracticable. Alternate testing procedures such as the Charpy impact energy (CVN), together with empirical/semi-empirical correlations of KIC to other data, are then more viable and economical. Experimental data (values of KIC, CVN, and HRC) of H13 steels have been collected through an exhaustive literature search. This data set has been augmented through in-house experimentation: samples variously heat treated (different tempering temperatures and times, and both air-cooling and oil-quenching), and tested at different working temperatures. Linear and quadratic models are proposed for determination of fracture toughness, based on experimental (in-house) and published values of Charpy impact energy (CVN) and Rockwell hardness (HRC), both at room and at elevated temperatures.

Original languageEnglish
Pages (from-to)208-215
Number of pages8
JournalMaterials Science and Engineering A
Volume430
Issue number1-2
DOIs
Publication statusPublished - Aug 25 2006

Fingerprint

Tool steel
regression analysis
steels
fracture strength
Fracture toughness
Steel
Rockwell hardness
Temperature
Hardness
temperature
Fatigue of materials
air cooling
metal forming
forging
tempering
plane strain
Metal forming
Brittle fracture
experimentation
Testing

Keywords

  • Charpy impact energy
  • CVN-K correlation
  • Fracture toughness
  • Metal forming
  • Tool steels (H13)

ASJC Scopus subject areas

  • Materials Science(all)

Cite this

Regression-based CVN-KIC Models for hot work tool steels. / Qamar, S. Z.; Sheikh, A. K.; Arif, A. F M; Pervez, T.

In: Materials Science and Engineering A, Vol. 430, No. 1-2, 25.08.2006, p. 208-215.

Research output: Contribution to journalArticle

Qamar, S. Z. ; Sheikh, A. K. ; Arif, A. F M ; Pervez, T. / Regression-based CVN-KIC Models for hot work tool steels. In: Materials Science and Engineering A. 2006 ; Vol. 430, No. 1-2. pp. 208-215.
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