Static and dynamic shear-compression response of additively manufactured Ti6Al4V specimens with embedded voids

Fadida, Refael; Shirizly, Amnon; Rittel, D.

doi:10.1016/j.mechmat.2020.103413

Cited by 18 publications

(15 citation statements)

References 32 publications

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“…A staggered distribution of dimples and smooth shear zones are observed in the TMC0 at low magnification (Figure 9a), which is a typical mixed fracture mode of ductile and brittle fracture [46]. The same phenomenon was reported in the EBM of TC4 alloy [47,48] because the α ′ phase has a higher strength but lower ductility, thus showing brittleness [49]. At a higher magnification, it is found that the dimples had a elongated shapes and sizes of 2~20 µm (Figure 9b), which were caused by the shear stress in the shear direction [50].…”

Section: Fracture Characteristicssupporting

confidence: 74%

Dynamic Compressive Properties and Failure Mechanism of the Laser Powder Bed Fusion of Submicro-LaB6 Reinforced Ti-Based Composites

Li,

Liu

2023

Micromachines

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In this study, lanthanum hexaboride (LaB6) particle-reinforced titanium matrix composites (PRTMCs, TC4/LaB6) were successfully manufactured using the laser powder bed fusion (LPBF) process. Thereafter, the effect of the mass fraction of LaB6 on the microstructure and the dynamic compressive properties was investigated. The results show that the addition of LaB6 leads to significant grain refinement. Moreover, the general trend of grain size reveals a concave bend as the fraction increases from 0.2% to 1.0%. Furthermore, the texture intensity of prior β grains and α grains was found to be weakened in the composites. It was also observed that the TC4/LaB6 have higher quasi-static and dynamic compressive strengths but lower fracture strain when compared with the as-built TC4. The sample with 0.5 wt.% LaB6 was found to have the best strength–toughness synergy among the three groups of composites due to having the smallest grain size. Furthermore, the fracture mode of TC4/LaB6 was found to change from the fracture under the combined action of brittle and ductility to the cleavage fracture. This study was able to provide a theoretical basis for an in-depth understanding of the compressive properties of additive manufacturing of PRTMCs under high-speed loading conditions.

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Section: Fracture Characteristicssupporting

confidence: 74%

Dynamic Compressive Properties and Failure Mechanism of the Laser Powder Bed Fusion of Submicro-LaB6 Reinforced Ti-Based Composites

Li,

Liu

2023

Micromachines

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“…A shear-compression specimen based on th geometry proposed by Rittel et al [55] was used to study the embedded voids. Figure shows the specimen (h = 20 mm, d = 10 mm, and r = 1.5 mm, detailed dimensions a summarized in Table 1) consisting of a narrow-notched section with a 45° angle promotin a shear-compression dominant stress-state and failure band (A-A plane in Figure 1a), reported by quasi-static and dynamic experiments in [33]. This allows for assessing th influence of pores on the fracture behaviour of the materials in a complex stress state b placing the artificial pores on the fracture surface [33].…”

Section: Methodsmentioning

confidence: 99%

“…In the past decade, advances in AM technology have made it possible to create parts with intricate internal features such as porosities or artificial pores, facilitating research in this area. The presence of pores in a component leads to stress concentrations, resulting in reduced strength, stiffness, and ductility [33,34]. The size, shape, and distribution of the voids can also affect the mechanical properties of the material [35].…”

Section: Introductionmentioning

confidence: 99%

“…Kotzem et al [38] studied the fatigue properties of AMed 316L specimens with artificial defects and showed that the size and position of a single pore defect significantly impact the fatigue strength. In a series of studies, Fadida et al [33,[39][40][41] investigated the embedded pores under different loading conditions, namely tension [40], compression [41], shear-tension [39] and shear-compression [33]. They showed that the presence of voids has a detrimental effect on failure displacement.…”

Section: Introductionmentioning

confidence: 99%

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Machine Learning-Assisted Characterization of Pore-Induced Variability in Mechanical Response of Additively Manufactured Components

Rezasefat,

Hogan

2023

Modelling

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Manufacturing defects, such as porosity and inclusions, can significantly compromise the structural integrity and performance of additively manufactured parts by acting as stress concentrators and potential initiation sites for failure. This paper investigates the effects of pore system morphology (number of pores, total volume, volume fraction, and standard deviation of size of pores) on the material response of additively manufactured Ti6Al4V specimens under a shear–compression stress state. An automatic approach for finite element simulations, using the J2 plasticity model, was utilized on a shear–compression specimen with artificial pores of varying characteristics to generate the dataset. An artificial neural network (ANN) surrogate model was developed to predict peak force and failure displacement of specimens with different pore attributes. The ANN demonstrated effective prediction capabilities, offering insights into the importance of individual input variables on mechanical performance of additively manufactured parts. Additionally, a sensitivity analysis using the Garson equation was performed to identify the most influential parameters affecting the material’s behaviour. It was observed that materials with more uniform pore sizes exhibit better mechanical properties than those with a wider size distribution. Overall, the study contributes to a better understanding of the interplay between pore characteristics and material response, providing better defect-aware design and property–porosity linkage in additive manufacturing processes.

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“…Different technologies exist for metal additive manufacturing, such as powder bed fusion. During the powder bed fusion process, powder layers are repeatedly melted by an energy source until a fully dense part is obtained [18]. The selective laser melting (SLM) technique, which falls into this category, has been used by some researchers.…”

Section: Introductionmentioning

confidence: 99%

An Approach for Material Model Identification of a Composite Coating Using Micro-Indentation and Multi-Scale Simulations

et al. 2022

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While deposited thin film coatings can help enhance surface characteristics such as hardness and friction, their effective incorporation in product design is restricted by the limited understanding of their mechanical behavior. To address this, an approach combining micro-indentation and meso/micro-scale simulations was proposed. In this approach, micro-indentation testing was conducted on both the coating and the substrate. A meso-scale uniaxial compression finite element model was developed to obtain a material model of the coating. This material model was incorporated within an axisymmetric micro-scale model of the coating to simulate the indentation. The proposed approach was applied to a Ti/SiC metal matrix nanocomposite (MMNC) coating, with a 5% weight of SiC nanoparticles deposited over a Ti-6Al-4V substrate using selective laser melting (SLM). Micro-indentation testing was conducted on both the Ti/SiC MMNC coating and the Ti-6Al-4V substrate. The results of the meso-scale finite element indicated that the MMNC coating can be represented using a bi-linear elastic-plastic material model, which was incorporated within an axisymmetric micro-scale model. Comparison of the experimental and micro-scale model results indicated that the proposed approach was effective in capturing the post-indentation behavior of the Ti/SiC MMNC coating. This methodology can also be used for studying the response of composite coatings with different percentages of reinforcements.

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Static and dynamic shear-compression response of additively manufactured Ti6Al4V specimens with embedded voids

Cited by 18 publications

References 32 publications

Dynamic Compressive Properties and Failure Mechanism of the Laser Powder Bed Fusion of Submicro-LaB6 Reinforced Ti-Based Composites

Dynamic Compressive Properties and Failure Mechanism of the Laser Powder Bed Fusion of Submicro-LaB6 Reinforced Ti-Based Composites

Machine Learning-Assisted Characterization of Pore-Induced Variability in Mechanical Response of Additively Manufactured Components

An Approach for Material Model Identification of a Composite Coating Using Micro-Indentation and Multi-Scale Simulations

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