A comparative study on Johnson Cook, modified Zerilli–Armstrong and Arrhenius-type constitutive models to predict elevated temperature flow behaviour in modified 9Cr–1Mo steel

Samantaray, Dipti; Mandal, Sumantra; Bhaduri, A.K.

doi:10.1016/j.commatsci.2009.09.025

Cited by 354 publications

(180 citation statements)

References 47 publications

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“…N. Hafizi et al The Johnson and Cook [22][23][24] material model is applied to the model. The Equation (1) and (2) as show the material flow stress as a function of strain, strain rate and temperature…”

Section: Resultsmentioning

confidence: 99%

Experimental and numerical investigation of v-shape plates subjected to blast loadings

Hafizi

Risby²,

Umar³

et al. 2018

J. Fundam and Appl Sci.

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This paper presents the experimental and numerical investigation of angled shape metal plates response when subjected to an air blast loading. V shaped plates were fabricated at angles of 90º, 120º and 150º respectively. The charge weight of 1 kg (PE4) was used to create a spherical blast wave at several standoff configurations. The experimental r compared with the numerical simulation model computed using LSDYNA3D.

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Section: Resultsmentioning

confidence: 99%

Experimental and numerical investigation of v-shape plates subjected to blast loadings

Hafizi

Risby²,

Umar³

et al. 2018

J. Fundam and Appl Sci.

View full text Add to dashboard Cite

show abstract

“…It is well known that the constitutive model is affected not only by the deformation temperature and strain rate, but also by the strain in the hot deformation of metal materials [7,10,12,17,[29][30][31][32]. Therefore, the values of material coefficients (i.e.,  , A , n , Q ) of the constitutive equation are calculated under different strains in a range of 0.05 to 0.9 with the interval of 0.05 by the same method used previously.…”

Section: Arrhenius-type Constitutive Modelmentioning

confidence: 99%

Prediction of the Hot Compressive Deformation Behavior for Superalloy Nimonic 80A by BP-ANN Model

2016

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Abstract:In order to predict hot deformation behavior of superalloy nimonic 80A, a back-propagational artificial neural network (BP-ANN) and strain-dependent Arrhenius-type model were established based on the experimental data from isothermal compression tests on a Gleeble-3500 thermo-mechanical simulator at temperatures ranging of 1050-1250˝C, strain rates ranging of 0.01-10.0 s´1. A comparison on a BP-ANN model and modified Arrhenius-type constitutive equation has been implemented in terms of statistical parameters, involving mean value of relative (µ), standard deviation (w), correlation coefficient (R) and average absolute relative error (AARE). The µ-value and w-value of the improved Arrhenius-type model are 3.0012% and 2.0533%, respectively, while their values of the BP-ANN model are 0.0714% and 0.2564%, respectively. Meanwhile, the R-value and ARRE-value for the improved Arrhenius-type model are 0.9899 and 3.06%, while their values for the BP-ANN model are 0.9998 and 1.20%. The results indicate that the BP-ANN model can accurately track the experimental data and show a good generalization capability to predict complex flow behavior. Then, a 3D continuous interaction space for temperature, strain rate, strain and stress was constructed based on the expanded data predicted by a well-trained BP-ANN model. The developed 3D continuous space for hot working parameters articulates the intrinsic relationships of superalloy nimonic 80A.

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“…Material constants for the steel plates were based on various material tests, and the data for bullets were mainly taken form the literature. Samantaray et al [24] performed a comparative study of Johnson-Cook, modified Zerilli-Armstrong and Arrhenius-type constitutive models. The experimental data from compressive tests were used to establish material constants for each of those formulations.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation on ballistic resistance of aluminium multi-layered panels impacted by improvised projectiles

2017

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This paper presents a numerical study of perforation of the aluminium multi-layered targets impacted by steel projectiles in the shape of a ball, nut and nail. For the construction of the protective panels arc-, rectangular-, V-and U-shaped sheets of metal were considered. During the tests the panel thickness was constant at 160 mm. The panels were composed of 1.5-mm-thick aluminium sheets, and the initial speed of debris was 500 m/s. A comprehensive numerical study indicated the shape of the layer that had superior ballistic resistance and the best strength-to-weight ratio. Computational analyses were also used to investigate the influence of thermal softening and strain rate hardening in the Johnson-Cook constitutive model on the ballistic performance of layered targets. The number of layers required to stop the penetrating objects was compared for the rigid and deformable projectiles. Based on the comparative studies, some guidelines for engineering tasks involving exploration of number of possible technical solutions were proposed.

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A comparative study on Johnson Cook, modified Zerilli–Armstrong and Arrhenius-type constitutive models to predict elevated temperature flow behaviour in modified 9Cr–1Mo steel

Cited by 354 publications

References 47 publications

Experimental and numerical investigation of v-shape plates subjected to blast loadings

Experimental and numerical investigation of v-shape plates subjected to blast loadings

Prediction of the Hot Compressive Deformation Behavior for Superalloy Nimonic 80A by BP-ANN Model

Numerical investigation on ballistic resistance of aluminium multi-layered panels impacted by improvised projectiles

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