Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model

Otroshi, Mortaza; Rossel, Moritz; Meschut, Gerson

doi:10.1016/j.jajp.2020.100015

Cited by 24 publications

(9 citation statements)

References 7 publications

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“…The failure behavior of engineering structures is of key interest in the fields of material forming, equipment manufacturing, and transit collision, where the GISSMO criterion also has been used. The GISSMO criterion better predicted the separation of materials in the riveting area during the process of aluminum alloy self-pierce riveting, 10 and was superior to the forming limit diagram (FLD) criterion in the prediction of sheet metal stamping forming. 11 Currently, the GISSMO criterion is widely used in the field of automobile crashworthiness.…”

Section: Introductionmentioning

confidence: 94%

Effect of material failure criteria on collision behavior of metro vehicle end structures

Wang

Zhu

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part F:

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This study comprehensively analyzes the failure behavior of metro vehicle end structures (VESs) during collisions, using the common material SUS301L-MT in a stainless steel metro and its VES as the research object. First, constitutive and failure tests are performed on the material, the macro–micro characterization of its mechanical properties is performed, and the failure strains and morphologies under various stress states are obtained and discussed. Subsequently, two failure criteria, Von Mises (VM) and Generalized Incremental Stress State Dependent Damage Model (GISSMO), are calibrated and established. Finally, the crashworthiness evaluation indexes of the VES are defined, and vertical offset collisions of metro VESs for different speed levels are numerically analyzed. The results show that the stress triaxiality significantly affects the failure strain of stainless steel SUS301L-MT, with the maximal difference for different stress states reaching 51.10%. SUS301L-MT stainless steel exhibits strain-rate strengthening and yield hysteresis effects. Overall, the numerical results for the VM criterion are worse than for the GISSMO criterion, which more accurately describes the collision behavior of metro VESs under complex stress states.

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Section: Introductionmentioning

confidence: 94%

Effect of material failure criteria on collision behavior of metro vehicle end structures

Wang

Zhu

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part F:

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“…6xxx series aluminium sheets in the T6 condition were investigated with limited ductility and different damage criteria were compared to predict the influence of process-induced damage on the strength properties of the joints. Failure modeling in mechanical joining processes was presented in [8] by applying the GISSMO damage model in LS-DYNA to the SPR process simulation to predict ductile damage in thin aluminum sheets. The parameters for this stress state dependent material model have been identified from tensile tests with various characteristic stress states.…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of failure modeling in clinching process chain simulation

Bielak

2023

Materials Research Proceedings

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Abstract. The application of the mechanical joining process clinching allows the assembly of different sheet metal materials with a wide range of material thickness configurations, which is of interest for lightweight multi-material structures. In order to be able to predict the clinched joint properties as a function of the individual manufacturing steps, current studies focus on numerical modeling of the entire clinching process chain. It is essential to be able to take into account the influence of the joining process-induced damage on the load-bearing capacity of the joint during the loading phase. This study presents a numerical damage accumulation in the clinching process based on an implemented Hosford-Coulomb failure model using a 3D clinching process model applied on the aluminum alloy EN AW-6014 in temper T4. A correspondence of the experimentally determined failure location with the element of the highest numerically determined damage accumulation is shown. Moreover, the experimentally determined failure behavior is predicted to be in agreement in the numerical loading simulation with transferred pre-damage from the process simulation.

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“…The Hosford-Coulomb model is based on the extensive study on 3D unit cells in [13], thus it has a strong micromechanical foundation. Failure modeling in mechanical joining processes was presented in [14] by applying the GISSMO damage model in LS-DYNA to the self-piercing riveting (SPR) process simulation to predict ductile damage in thin aluminum sheets. The parameters for this stress state dependent material model have been identified from tensile tests with various characteristic stress triaxiality and Lode angle parameter values.…”

Section: Introductionmentioning

confidence: 99%

A calibration method for failure modeling in clinching process simulations

Böhnke

2023

Materials Research Proceedings

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Abstract. In the numerical simulation of mechanical joining technologies such as clinching, the material modeling of the joining parts is of major importance. This includes modeling the damage and failure behavior of the materials in accordance with varying occurring stress states. This paper presents a calibration method of three different fracture models. The calibration of the models is done by use of experimental data from a modified punch test, tensile test and bulge test in order to map the occurring stress states from clinching processes and to precisely model the resulting failure behavior. Experimental investigations were carried out for an aluminum alloy EN AW-6014 in temper T4 and compared with the simulative results generated in LS-DYNA. The comparison of force-displacement curves and failure initiation shows that the Hosford–Coulomb model predicts the failure behavior for the material used and the tests applied with the best accuracy.

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Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model

Cited by 24 publications

References 7 publications

Effect of material failure criteria on collision behavior of metro vehicle end structures

Effect of material failure criteria on collision behavior of metro vehicle end structures

Numerical analysis of failure modeling in clinching process chain simulation

A calibration method for failure modeling in clinching process simulations

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