2017
DOI: 10.2355/isijinternational.isijint-2016-306
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Modelling of Flow Stress and Prediction of Workability by Processing Map for Hot Compression of 43CrNi Steel

Abstract: The isothermal hot compression tests of 43CrNi steel was carried out at temperatures 800°C to 1 050°C at an interval of 50°C and at constant strain rates of 0.01, 0.1, 1.0 and 10 s − 1 for total true strain of 0.7. The values of experimental stress were corrected for adiabatic heating which was used for flow stress modeling, and further its predictability was verified with experimental results. The true stress-true strain curves exhibit peak stresses followed by softening due to occurrence of DRX. The activati… Show more

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Cited by 29 publications
(15 citation statements)
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“…These values of material constants and activation energy are closer to the reported values of similar kind of hot deformed steels [22][23][24]. Due to the effect of alloying elements, the apparent activation energy for hot deformation (456.42 kJmol −1 ) of present steel is much larger than the self-diffusion activation energy of austenitic steel i.e 312 kJmol −1 [25,26].…”
Section: Determination Of Materials Constants and Activation Energysupporting
confidence: 84%
“…These values of material constants and activation energy are closer to the reported values of similar kind of hot deformed steels [22][23][24]. Due to the effect of alloying elements, the apparent activation energy for hot deformation (456.42 kJmol −1 ) of present steel is much larger than the self-diffusion activation energy of austenitic steel i.e 312 kJmol −1 [25,26].…”
Section: Determination Of Materials Constants and Activation Energysupporting
confidence: 84%
“…In order to evaluate the accuracy of the above performed MLP-approximation, the Pearson's correlation coefficient [59], R (-), and the average absolute relative error, AARE (%), have been calculated-see Equations (10) and (11) [17]. In these equations, the T i (MPa) and A i (MPa) represent the flow stress values of the target (i.e., experimental) and approximated dataset, respectively.…”
Section: Evaluation Of the Performed Calculationsmentioning
confidence: 99%
“…The calculated material constants of the above-introduced polynomials (7)-(9) are listed in Tables 3-5 together with the achieved values of the Pearson's correlation coefficient [59], R (-), Equation (10). In this equation, in association with the polynomials (7)-(9), T i (K, -, MPa −1 ) and A i (K, -, MPa −1 ) represent the target and approximated values of the studied parameters, i.e., M(ε, b3,3 0.00 × 10 0 b4,3 0.00 × 10 0 b0, 4 1.93 × 10 −10 b1,4 0.00 × 10 0 b2,4 0.00 × 10 0 b3,4 0.00 × 10 0 b4,4 0.00 × 10 0 R 0.996660…”
Section: Evaluation Of the Performed Calculationsmentioning
confidence: 99%
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“…Since the end of the 20th century, processing maps, i.e., power dissipation maps superimposed by flow instability maps, have been extensively studied as a very convenient tool for the optimization of hot forming processes, such as rolling, forging, etc. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. These maps simply display the combinations of thermomechanical conditions, i.e., strain, strain rate, and deformation temperature, which are suitable for the forming processes of an examined material.…”
Section: Introductionmentioning
confidence: 99%