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For: Baragar D. The high temperature and high strain-rate behaviour of a plain carbon and an HSLA steel. ACTA ACUST UNITED AC 1987;14:295-307. [DOI: 10.1016/0378-3804(87)90015-5] [Citation(s) in RCA: 69] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Number Cited by Other Article(s)
1
Cabrera JM, Prado JM, Barrön MA. An inverse analysis of the hot uniaxial compression test by means of the finite element method. ACTA ACUST UNITED AC 2016. [DOI: 10.1002/srin.199905601] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
2
Hwu YJ, Pan YT, Lenard JG. A comparative study of artificial neural networks for the prediction of constitutive behaviour of HSLA and carbon steels. ACTA ACUST UNITED AC 2016. [DOI: 10.1002/srin.199605459] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
3
Wang F, Lenard JG. The constitutive behaviour of a Nb-V HSLA steel in the temperature range of 900 to 975 °C. ACTA ACUST UNITED AC 2016. [DOI: 10.1002/srin.199101252] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
4
Karhausen K, Kopp R. Model for integrated process and microstructure simulation in hot forming. ACTA ACUST UNITED AC 2016. [DOI: 10.1002/srin.199200509] [Citation(s) in RCA: 97] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
5
Devising Strain Hardening Models Using Kocks–Mecking Plots—A Comparison of Model Development for Titanium Aluminides and Case Hardening Steel. METALS 2016. [DOI: 10.3390/met6090204] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
6
Mandal S, Sivaprasad P, Venugopal S, Murthy K. Artificial neural network modeling to evaluate and predict the deformation behavior of stainless steel type AISI 304L during hot torsion. Appl Soft Comput 2009. [DOI: 10.1016/j.asoc.2008.03.016] [Citation(s) in RCA: 135] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
7
Prediction of steel flow stresses at high temperatures and strain rates. ACTA ACUST UNITED AC 1991. [DOI: 10.1007/bf02667368] [Citation(s) in RCA: 310] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
8
Devadas C, Baragar D, Ruddle G, Samarasekera IV, Hawbolt EB. The thermal and metallurgical state of steel strip during hot rolling: Part II. Factors influencing rolling loads. ACTA ACUST UNITED AC 1991. [DOI: 10.1007/bf02656801] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
9
Analysis of the temperature dependence of strain-hardening behavior in high- strength steel. ACTA ACUST UNITED AC 1989. [DOI: 10.1007/bf02670174] [Citation(s) in RCA: 43] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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