Image-based numerical modeling of the tensile deformation behavior and mechanical properties of additive manufactured Ti–6Al–4V diamond lattice structures

Doroszko, Michał; Falkowska, Anna; Seweryn, A.

doi:10.1016/j.msea.2021.141362

Cited by 19 publications

(16 citation statements)

References 42 publications

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“…In order to deform the model, nodal displacements in the direction of the positive x-axis values (u x = s) were used. To determine the true stress-strain curve of the 304L steel, a hybrid method (experimental-numerical) was used [26][27][28]. At first, the Kirchhoff stress-true strain curve obtained experimentally was used for numerical calculations (Figure 5), and then the force-displacement relationship obtained by means of calculations and experiment were compared.…”

Section: Resultsmentioning

confidence: 99%

Prediction of Crack Initiation Based on Energy Storage Rate during Low-Cycle Fatigue of Austenitic Stainless Steel

et al. 2021

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The low-cycle deformation of 304L austenitic stainless steel was examined in terms of energy conversion. Specimens were subjected to cyclic loading at the frequency of 2 Hz. The loading process was carried out in a hybrid strain–stress manner. In each cycle, the increase in elongation of the gauge part of the specimen was constant. During experimental procedures, infrared and visible-range images of strain and temperature fields were recorded simultaneously using infrared thermography (IR) and digital image correlation (DIC) systems. On the basis of the obtained test results, the energy storage rate, defined as the ratio of the stored energy increment to the plastic work increment, was calculated and expressed in reference to selected sections of the specimen. It was shown that, before the specimen fracture in a specific area, the energy storage rate is equal to zero (the material loses the ability to store energy), and the energy stored during the deformation process is released and dissipated as heat. Negative and close-to-zero values of the energy storage rate can be used as a plastic instability criterion on the macroscale. Thus, the loss of energy storage ability by a deformed material can be treated as an indicator of fatigue crack initiation.

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Section: Resultsmentioning

confidence: 99%

Prediction of Crack Initiation Based on Energy Storage Rate during Low-Cycle Fatigue of Austenitic Stainless Steel

et al. 2021

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“…For this purpose, Avizo 9.7.0 software (Thermo Scientific, Waltham, MA, USA) was used. For mapping the shape based on microtomographic images, a procedure analogous to that described in the work by Doroszko et al [ 26 ] was used: Layering of tomographic images (cross-sections) and definition of their orientation in the software. Binarization of the images using thresholding to separate the shape of the diamond structure from the tomographic images.…”

Section: Methodsmentioning

confidence: 99%

“…Four-node tetrahedral solid finite elements of type Tetra 134 [ 29 ] with an average size of approximately 0.003 mm were used for modeling. Such a size of finite elements will significantly improve the mapping of the smallest details of the strut geometry compared to previous research, where the size of the finite elements was about 0.02 mm [ 26 ]. For a strut with a thickness of 0.49 mm, a mesh of 5,308,535 finite elements was generated, and for a strut with a thickness of 0.6 mm, a mesh of 5,382,676 finite elements was generated.…”

Section: Methodsmentioning

confidence: 99%

“…For this purpose, Avizo 9.7.0 software (Thermo Scientific, Waltham, MA, USA) was used. For mapping the shape based on microtomographic images, a procedure analogous to that described in the work by Doroszko et al [26] In this work, the deformation process of the diamond structure struts was analyzed using the finite element method. The Marc software (MSC Software) used for the advanced nonlinear calculations was used for the numerical calculations.…”

Section: Methodsmentioning

confidence: 99%

“…The influence of the defects formed in the struts of the mesostructure on its deformation process was investigated. The described studies are a continuation of the considerations contained in the work of Doroszko et al [26]. Microtomographic measurement was used to take into account the complicated shape of the external surfaces of the struts and the internal microporosity.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Investigation of the Defects Effect in Additive Manufactured Ti-6Al-4V Struts on Deformation Behavior Based on Microtomographic Images

Doroszko

2022

Materials

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: This paper describes the influence of defects occurring in struts under tension, obtained using the additive method of laser powder bed fusion (LPBF), on the stress and strain distributions. The study used struts of different thicknesses separated from Ti-6Al-4V diamond lattice structures. For numerical modeling of stress and strain fields, models that reflect the realistic shape of the tested struts with their imperfections were used. The shape of the diamond structure struts was obtained based on microtomographic measurements. Based on the results obtained, the influence of defects in the material structure on the stress and strain distribution was analyzed. It was observed that the main factor influencing the stress and strain distribution in the struts are micronotches on their external surface. These imperfections have a significantly greater impact on the stress and strain concentration than the micropores inside. Furthermore, the interactions of the imperfections are also important, which in turn affects the stress distributions and the formation of bands of high-stress values inside the material. The relationship between the presence of micropores, the stress–strain curves, and the mechanical properties of the material was also assessed.

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Statistical Determination of Johnson-Cook Model Parameters for Porous Materials by Machine Learning and Particle Swarm Optimization Algorithm

Hao

Wei

et al. 2022

J. of Materi Eng and Perform

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Image-based numerical modeling of the tensile deformation behavior and mechanical properties of additive manufactured Ti–6Al–4V diamond lattice structures

Cited by 19 publications

References 42 publications

Prediction of Crack Initiation Based on Energy Storage Rate during Low-Cycle Fatigue of Austenitic Stainless Steel

Prediction of Crack Initiation Based on Energy Storage Rate during Low-Cycle Fatigue of Austenitic Stainless Steel

Numerical Investigation of the Defects Effect in Additive Manufactured Ti-6Al-4V Struts on Deformation Behavior Based on Microtomographic Images

Statistical Determination of Johnson-Cook Model Parameters for Porous Materials by Machine Learning and Particle Swarm Optimization Algorithm

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