Edge crack sensitivity of lightweight materials under different load conditions

Tsoupis, Ioannis; Merklein, Marion

doi:10.1088/1757-899x/159/1/012017

Cited by 10 publications

(7 citation statements)

References 5 publications

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“…Due to the fact that an inhomogeneous state is prevalent during material softening, experimental and numerical force-elongation curves are considered [9]. The minimization of the mean square error (MSE) between experimental and numerical data is calculated using an optimization algorithm implemented on MATLAB.…”

Section: Damage Parameter Identificationmentioning

confidence: 99%

Evaluation of ductile failure models in Sheet Metal Forming

et al. 2016

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Abstract. Traditionally, combination of equivalent plastic strain and stress triaxiality parameters are taken into account when performing characterization of material ductility. Some well-established models like Lemaitre model, GTN based models and many others perform relatively well at high-triaxiality stress states but fail to give adequate answers to low-triaxiality states. In this work, three damage models are presented, applied and assessed to a crossshaped component. Concerning material, AA5182-O, corresponding damage parameters are characterized by an inverse analysis procedure for each damage model.

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Section: Damage Parameter Identificationmentioning

confidence: 99%

Evaluation of ductile failure models in Sheet Metal Forming

et al. 2016

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“…For connection with other structures, burrs must be removed from sheets in which holes were drilled. It is well known that formability changes with the quality of the surface of the hole [4]. In particular, as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Experimental determination of the failure surface for DP980 high-strength metal sheets considering stress triaxiality and Lode angle

Kim

Lee²,

Hong

2018

Int J Adv Manuf Technol

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To meet requirements for reduced fuel consumption of cars, the use of components made of sheets of high-strength steel instead of conventional steel has been on the rise. However, low ultimate elongation of high-strength steel often causes problems during plastic deformation and more research is needed to improve failure predictability. Ductile failure models available in commercial finite element analysis (FEA) packages require the material's tensile strength and failure strain for failure prediction. For stress states that are more complex than the uniaxial case, accurate prediction of the how, when, and where failure occurs has been become problematic and it has been investigated by numerous researchers. In this study, we investigate the prediction of failure in DP980 sheets under triaxle stress states. We first determine the shapes of specimens using certain triaxial stress states, such as pure shear, uniaxial tension, biaxial deformation, which are induced by corresponding tensile tests. When failure occurs, equivalent strain at the failure locus is obtained by means of digital image correlation (DIC) and then plotted against triaxiality and Lode angle, based on which the triaxiality failure diagram (TFD) is established to implement in the FEA program of LS-DYNA. Validation is made by comparing the numerical results with burring test data. Good agreement was found for failure locus and strain distribution at the time of failure.

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“…Different sheet preparation methods are used to prepare sheet metal samples for HET. These machining methods are known to introduce defects onto the cut surfaces, which influences the edge formability of materials [1]. Zhang et al, [2] in their work observed that, burr up or down conditions in dual phase steel sheets influences the failure mode during HET.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Hole Expansion Ratio of Titanium Alloys Using R Programming

Kwame¹,

Yakushina

Blackwell

2020

J. Model. Optim.

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The hole expansion ratio (HER) is an important material property which defines the extent of edge formability of sheet metals. The stress states observed at the hole edge after the hole expansion test are similar to those seen during traditional uniaxial tensile deformation. This observation has provoked research, directed at ascertaining a correlation between the HER and tensile properties. In order to account for the forming behaviour of complex materials like titanium, a highly robust model that takes into account the material formability in all sheet-processing directions must be considered. The R programming language was used in this research to build a model fitting expression capable of predicting the HER as well as generating a regression model equation for titanium alloys, based on their thickness and Erichsen index number. The proposed regression model equation for predicting HER of titanium alloys exhibited an excellent statistical significance (p= 0.00076), indicating the robustness of the model fitting expression to predict HER values of titanium alloys. An accompanying adjusted R squared value of 0.9987 for the generated regression model equation also shows how well the regression line fits the data for accurate prediction of the HER of titanium alloys. A numerical validation analysis of the strength of the relationship derived between the predicted and the experimental HERs gave a correlation coefficient of 0.9884. This result shows a strong linear relationship between the experimental and predicted HER values of the titanium alloys with an average absolute error of 8.8%.

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Edge crack sensitivity of lightweight materials under different load conditions

Cited by 10 publications

References 5 publications

Evaluation of ductile failure models in Sheet Metal Forming

Evaluation of ductile failure models in Sheet Metal Forming

Experimental determination of the failure surface for DP980 high-strength metal sheets considering stress triaxiality and Lode angle

Prediction of Hole Expansion Ratio of Titanium Alloys Using R Programming

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