Fuzzy logic enhancement of material hardening parameters obtained from tension–compression test

Wójcik, Marta; Skrzat, A.

doi:10.1007/s00161-019-00805-y

Cited by 6 publications

(6 citation statements)

References 31 publications

(41 reference statements)

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“…The methodology hardening parameters determination from cyclic Figure 10. The relationship between the extrusion force and the punch displacement loading tests was described in the author's previous works [31][32][33]. It allows achieving a good agreement between experimental and numerically generated stress-strain curves for cyclic loading tests.…”

Section: The Materials Modelmentioning

confidence: 99%

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The Coupled Eulerian-Lagrangian Analysis of the KOBO Extrusion Process

Wójcik¹,

Skrzat²

2021

Adv. Sci. Technol. Res. J.

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The KOBO extrusion is an unconventional elastic-plastic deformation process in which the phenomenon of changing a path of plastic deformation due to die cyclic oscillations by a given angle and with a given frequency is applied. As the result of the application of the oscillating rotary motion of the die, the reduction of the extrusion force was obtained. The numerical study of the KOBO extrusion of metallic materials was presented in this paper. The three-dimensional coupled Eulerian-Lagrangian (CEL) analysis was applied. The relationship between the extrusion force and the punch displacement during the KOBO process was achieved. The effective plastic strain distribution in the butt was found. The results of the numerical computations were compared with the experimental data. The influence of the material hardening parameters on the cyclic loading phenomena (ratcheting, mean stress relaxation) in terms of the course of the KOBO extrusion was also examined. The proper determination of the material hardening parameters can help to optimize the KOBO process in terms of the reduction the extrusion force and the choice of the amount of die oscillations.

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Section: The Materials Modelmentioning

confidence: 99%

“…The hardening parameters, for which the discrete error norm was the smallest, were assumed to be optimal. This unique procedure of the determination of hardening parameters using the fuzzy logic was described in details in [31][32][33].…”

Section: The Materials Modelmentioning

confidence: 99%

The Coupled Eulerian-Lagrangian Analysis of the KOBO Extrusion Process

Wójcik¹,

Skrzat²

2021

Adv. Sci. Technol. Res. J.

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“…After inserting Eqs. (16), (17), (19), (20) into Eq. (18), the nonlinear equation with unknown plastic strain increment ε p is obtained.…”

Section: Explicit and Implicit Integration Of The Constitutive Equationsmentioning

confidence: 99%

“…The cyclic softening behavior of ultrafine grained Cu-Zn alloys was described in [18]. In [19] the cyclic hardening of PA6 aluminum in symmetrical straincontrolled cyclic tension-compression tests was presented. Materials which undergo the cyclic hardening involve increased stress in order to induce additional plastic deformation and exhibit higher cyclic yield strength than in monotonic loading tests [20].…”

Section: Introductionmentioning

confidence: 99%

Identification of Chaboche–Lemaitre combined isotropic–kinematic hardening model parameters assisted by the fuzzy logic analysis

Wójcik

Skrzat

2020

Acta Mech

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A very good knowledge of material properties is required in the analysis of severe plastic deformation problems in which the classical material processing methods are accelerated by the application of the additional cyclic load. A general fuzzy logic-based approach is proposed for the analysis of experimental and numerical data in this paper. As an application of the fuzzy analysis, the calibration of Chaboche–Lemaitre model hardening parameters of PA6 aluminum is considered here. The experimental data obtained in a symmetrical strain-controlled cyclic tension–compression test were used to estimate the material’s hardening parameters. The numerically generated curves were compared to the experimental ones. For better fitting of numerical and experimental results, the optimization approach using the least-square method was applied. Unfortunately, commonly accepted calibration methods can provide various sets of hardening parameters. In order to choose the most reliable set, the fuzzy analysis was used. Primarily selected values of hardening parameters were assumed to be fuzzy input parameters. The error of the hysteresis loop approximation for each set was used to compute its membership function. The discrete value of this error was obtained in the defuzzification step. The correct selections of hardening parameters were verified in ratcheting and mean stress relaxation tests. The application of the fuzzy analysis has improved the convergence between experimental and numerical stress–strain curves. The fuzzy logic allows analyzing the variation of elastic–plastic material response when some imprecisions or uncertainties of input parameters are taken into consideration.

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“…In the following step, the remaining parameters responsible for the isotropic hardening are determined by approximating the curve of the yield stress vs. plastic strain. Wójcik and Skrzat [15,16] developed a material parameter evaluation algorithm which utilizes some analytical formulas for calculating the theoretical stress values that are further used within the least squares optimization process. In this concept the fuzzy logic methods are applied in order to improve the curve-fitting quality.…”

Section: Introductionmentioning

confidence: 99%

A new method for identification of cyclic plasticity model parameters

Suchocki

Kowalewski

2022

Archiv.Civ.Mech.Eng

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In this study, a new method for determining the material parameters of cyclic plasticity is presented. The method can be applied to evaluate the model parameters from any loading histories measured experimentally. The experimental data require basic processing only to be utilized. The method can be applied to calibrate the parameters of different elastoplastic models such as the Chaboche–Rousselier (Ch–R) constitutive equation or other model formulations which use different rules of isotropic hardening. The developed method was utilized to evaluate the material parameters of copper for a selected group of constitutive models. It is shown that among the considered model formulations a very good description of the mechanical properties of copper is achieved for the Ch–R model with two Voce terms used for simulating the isotropic hardening and two backstress variables utilized for capturing the kinematic hardening behavior. Furthermore, it is demonstrated that a model calibrated using the cyclic tension/compression data is able to properly capture the material response in torsion. Similarly, when the constitutive parameters are determined using the cyclic torsion data the model is able to properly reproduce the material behavior in tension/compression. It is concluded that for the considered type of constitutive equations the material parameters can be identified from a single mechanical test. The proposed methodology was validated using the relations derived analytically

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Fuzzy logic enhancement of material hardening parameters obtained from tension–compression test

Cited by 6 publications

References 31 publications

The Coupled Eulerian-Lagrangian Analysis of the KOBO Extrusion Process

The Coupled Eulerian-Lagrangian Analysis of the KOBO Extrusion Process

Identification of Chaboche–Lemaitre combined isotropic–kinematic hardening model parameters assisted by the fuzzy logic analysis

A new method for identification of cyclic plasticity model parameters

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