Identification of post-necking stress–strain curve for sheet metals by inverse method

Zhao, Kunmin; Wang, Limin; Chang, Ying; Yan, Jianwen

doi:10.1016/j.mechmat.2015.09.004

Cited by 110 publications

(55 citation statements)

References 16 publications

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“…Other functions are also used, for example, Johnson-Cook´s [37], that is similar to those but that introduces some terms that consider the test velocity and temperature. Some authors are developing specific methods for determining the material behavior model further than the UTS point, as photographic techniques to determine the real section of the tensile test specimen [38] or reverse engineering methodologies [39,40]. In previous works [41,42], the authors of the present paper have proven that the Swift model is adequate to explain the plastic behavior of the Ti6Al4V alloy for the SPIF process and they have also evaluated the forces needed to that.…”

Section: Introductionmentioning

confidence: 83%

Evaluation of the Formability and Dimensional Accuracy Improvement of Ti6Al4V in Warm SPIF Processes

Naranjo

Miguel

Martínez

et al. 2019

Metals

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Single Point Incremental Forming (SPIF) has great potential as it can be easily implemented and the forming process does not require the use of dies. However, its application to high performance alloys such as Ti6Al4V has not been resolved due to its characteristic low formability. In the literature, studies on the warm SPIF process applied to this alloy report improved formability. However, in some of these studies the procedures used are complex and in others the surface finishes obtained are unsatisfactory. The present study proposes a methodology consisting of a simple heating device which permits working at moderate temperatures and quantifies the benefit of the temperature on the alloy formability, the forces acting during the process, and finally the dimensional precision of the parts produced. Working temperatures in the range of 300–400 °C significantly reduce forces, increase formability of the alloy, and substantially reduce springback. However, the springback values suggest the need for dimensional compensation at the design stage of products.

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Section: Introductionmentioning

confidence: 83%

Evaluation of the Formability and Dimensional Accuracy Improvement of Ti6Al4V in Warm SPIF Processes

Naranjo

Miguel

Martínez

et al. 2019

Metals

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“…The most important material properties determined during mechanical tests are yield stress and ultimate stress that describe material's strength for engineering design [2,3]. Other parameters that influence flow stress curves like friction coefficient, state of stress and preheating are identified by means of inverse analysis [4].…”

Section: Abstract: Mechanical Tests Mechanical Properties Optimizatmentioning

confidence: 99%

“…Constitutive equations might be categorized into four groups: elastic, viscoelastic, plastic and viscoplastic. The most popular and often used rheological equations that describe stress-strain curves are: Hollomon, Zener-Hollomon, Levy-Mises, Hockett-Sherby, Swift and Avrami equations [3,[5][6][7][8].…”

Section: Abstract: Mechanical Tests Mechanical Properties Optimizatmentioning

confidence: 99%

“…Mechanical tests usually do not provide all parameters of a rheological equation. Comparisons of an experimental stress-strain curve with a constitutive equation or with the curve used for the finite element simulation allow evaluating parameters of the rheological equation [3,4,6]. The stress-strain curve calculated from the rheological equation is iteratively modified to minimize its discrepancy from an experimental data [3].…”

Section: ■ Applied Java Libraries and Web Technologiesmentioning

confidence: 99%

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Evaluation of possibilities of application of web-based tool for effective identification of mechanical properties of materials

Wolski

Kopernik

2018

Mechanik

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The main purpose of the work is to present and test the developed web-based tool to identify parameters of rheological equations, whose functionality according to the presented results is comparable to existing desktop applications. The developed web-based application with a user-friendly interface uses selected optimization methods (Powell and Hooke-Jeeves algorithms). Criteria for selecting optimization methods are: robustness and frequent application to identification problems described in literature. Testing the developed application consists of comparing the identified stress-strain curves obtained from mechanical tests using the developed tool and commercial desktop application, and performing efficiency tests for the analyzed examples of rheological equations and optimization methods. For this purpose, two material models were used: a simple Hollomon’s model and a multi-parameter model used for steel, in which the influence of softening during the dynamic recrystallization is insignificant. The presented software is implemented in technologies such as JDK 1.8, Spring Framework and PrimeFaces, and passes the efficiency tests successfully.

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“…Recently, studies on models for estimating the S-S curve using the response surface method of design of experiment (DOE), which are referred to as inverse methods, have been conducted [16][17][18]. For inverse methods, basic theories are provided by the American Society for Testing and Materials (ASTM) standards; further, studies to improve the accuracy of property data through mathematical modeling that uses power and exponential functions have been proposed [12][13][14][15][16][17][18][19][20][21][22]. However, as mathematical models may vary depending on the materials, inverse methods have been mostly applied to metals and alloy models.…”

Section: Introductionmentioning

confidence: 99%

Approximation of Non-Linear Stress–Strain Curve for GFRP Tensile Specimens by Inverse Method

2019

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Studying the characteristics of materials through a finite element analysis (FEA) has various benefits; hence, many studies have been conducted to improve the reliability of the analysis results. In general, the mechanical properties used in FEA for metals and metal composites are stress–strain data obtained through tensile tests, which are used for modeling from a macroscopic perspective. While many studies have been conducted on metal materials, there are limited studies on the analysis of polymer composite materials produced through injection and special processing. In this study, existing inverse methods were applied, and an FEA was conducted to reproduce the axial displacement of the tensile specimens comprising glass fiber-reinforced polymer (GFRP); further, errors were examined by comparing the test and analysis results. To reduce such errors, the experiment and the FEA results were analyzed through parameter optimization based on various empirical formulas. The accuracy of various inverse methods were examined and an inverse method suitable for GFRP was proposed.

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Identification of post-necking stress–strain curve for sheet metals by inverse method

Cited by 110 publications

References 16 publications

Evaluation of the Formability and Dimensional Accuracy Improvement of Ti6Al4V in Warm SPIF Processes

Evaluation of the Formability and Dimensional Accuracy Improvement of Ti6Al4V in Warm SPIF Processes

Evaluation of possibilities of application of web-based tool for effective identification of mechanical properties of materials

Approximation of Non-Linear Stress–Strain Curve for GFRP Tensile Specimens by Inverse Method

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