Applicability of strain energy density criterion for fracture prediction of notched PLA specimens produced via fused deposition modeling

Seibert, Paul; Susmel, Luca; Berto, Filippo; Kästner, Markus; Razavi, S.M.J.

doi:10.1016/j.engfracmech.2021.108103

Cited by 15 publications

(7 citation statements)

References 44 publications

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“…The latter cases may be mainly caused by the loss of accuracy of the Creager–Paris expression to determine the stress distribution (Creager–Paris solutions require slender notches in which the notch length is significantly larger than the notch radius). Figure 7 , Figure 8 and Figure 9 compare the predicted results (P ASED , P ASED-EMC or P ASED-FMC ) with the experimental loads (P EXP ) along with the ±20% lines, which represents a commonly accepted deviation in fracture research [ 25 , 28 , 30 ]. In general, it seems that the ASED-EMC model provides more accurate conservative predictions than the ASED-FMC approach, although this model seems to be more accurate for the lower notch radii (0.25 mm).…”

Section: Resultsmentioning

confidence: 99%

“…The ASED criterion has been validated in numerous materials with brittle or quasi-brittle behaviour and different loading conditions (e.g., [ 27 , 28 , 29 ]). In a recent publication, Seibert et al [ 30 ] successfully applied the ASED criterion in additive manufactured polylactic acid (PLA) material by using an alternative approach to determine the control volume used in this criterion (see Section 2 ). Alternatively, in the presence of non-linear behaviour, Torabi proposed the Equivalent Material Concept (EMC) [ 31 ], with the idea of transforming a non-linear material (in terms of tensile behaviour) into an equivalent linear-elastic material and allowing the use of the corresponding (generally simpler) elastic assessment tools (e.g., TDC [ 32 ], ASED [ 32 , 33 ], Maximum Tangential Stress [ 34 ], etc.).…”

Section: Introductionmentioning

confidence: 99%

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Fracture Load Predictions in Additively Manufactured ABS U-Notched Specimens Using Average Strain Energy Density Criteria

et al. 2022

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This paper provides a methodology for the prediction of fracture loads in additively manufactured ABS material containing U-notches. The approach is based on the Average Strain Energy Density (ASED) criterion, which assumes that the material being analysed develops fully linear-elastic behaviour. Thus, in those cases where the material has a certain (non-negligible) amount of non-linear behaviour, the ASED criterion needs to be corrected. In this sense, in this paper, the ASED criterion is also combined with the Equivalent Material Concept (EMC) and the Fictitious Material Concept (FMC), both being corrections in which the non-linear real material is substituted by a linear equivalent or fictitious material, respectively. The resulting methodologies have been applied to additively manufactured ABS U-notched single-edge-notched bending (SENB) specimens combining five different notch radii (0, 0.25, 0.5, 1 and 2 mm) and three different raster orientations (0/90, 45/−45 and 30/−60). The results obtained demonstrate that both the ASED-EMC and the ASED-FMC combined criteria provide more accurate predictions than those obtained directly through the ASED criterion, with the ASED-EMC criterion generally providing safe more accurate predictions, with an average deviation from the experimental fracture loads between +1.0% (predicted loads higher than experimental loads) and −7.6% (predicted loads lower than experimental loads).

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fracture Load Predictions in Additively Manufactured ABS U-Notched Specimens Using Average Strain Energy Density Criteria

et al. 2022

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“…In light of the unique features of 3D printed materials, over the last decade, the Sheffield Structural Integrity Research Group has run a number of experimental/ theoretical projects to assess whether the TCD is successful in assessing the static [38][39][40][41][42][43] and fatigue [44][45][46] strength of notched/flawed 3D printed materials. In what follows, some specific outcomes from this body of systematic research work will be reviewed and revisited by focusing attention specifically on polymers and concrete.…”

Section: Additively Manufactured Polymers and Concretementioning

confidence: 99%

The application of the Theory of Critical Distances to nonhomogeneous materials

Marșavina

Sapora

Susmel

et al. 2023

Fatigue Fract Eng Mat Struct

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The Theory of Critical Distances (TCD) has undoubtedly represented a breakthrough in the brittle failure assessment of engineering materials containing defects, crack, or notches. The basic idea on which the simplest formulation of the TCD is based is to evaluate an effective stress at a characteristic distance from the tip of the defect/crack/notch and compare it with an inherent fracture strength. Is the critical distance related to the material (micro) structure? Whereas a correlation was already proved for homogeneous materials, the current attention to nonhomogeneous ones has brought the question back to the fore. The goal of the present work is therefore twofold: (i) to extend the use of the TCD, through the simple yet effective Point Method (PM), for the static failure assessment of inhomogeneous materials, such as cellular, biological, and additively manufactured (AM) materials; and (ii) to look for a correlation between critical distance and internal (micro) structure.

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“…In simulation, using PFC 2D software, the results indicated that increasing water content within the rock significantly decreased the coal strength, strain ratio (strain to peak strain), Young's modulus, AE energy (average), and the maximum energy of a single AE event. Some researchers used strain energy density for fracture predictions [44][45][46][47]. Lin et al studied the AE parameters during disccutter-induced rock fragmentation processes under various water conditions [48].…”

Section: Introductionmentioning

confidence: 99%

Analytical Damage Model for Predicting Coal Failure Stresses by Utilizing Acoustic Emission

Ali

Wang

et al. 2023

Sustainability

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Overburden collapse and water inrush in mines are primarily caused by rock fractures. Mining safety can be enhanced by monitoring and identifying early signs of coal failure in the mines. This article collected acoustic emission data synchronously throughout a series of uniaxial compression (UC) experiments on natural and water-saturated coal. The influence mechanisms of water, mechanical properties, and acoustic emission signals on the stress–strain curve and the SEM results of water-saturated and dry samples are investigated. As a result, the mechanical properties of coal are not only weakened by water saturation, such as elastic modulus, strain, stress, and compressive strength but also reduced acoustic emissions. In comparison with saturated coal, natural coal has a uniaxial stress of 13.55 MPa and an elastic modulus of 1.245 GPa, while saturated coal has a stress of 8.21 MPa and an elastic modulus of 0.813 GPa. Intergranular fractures are more likely to occur in coal with a high water content, whereas transgranular fractures are less likely to occur in coal with a high water content. An innovative and unique statistical model of coal damage under uniaxial loading has been developed by analyzing the acoustic emission data. Since this technique takes into account the compaction stage, models based on this technique were found to be superior to those based on lognormal or Weibull distributions. A correlation coefficient of greater than 0.956 exists between the piecewise constitutive model and the experimental curve. Statistical damage constitutive models for coal are compatible with this model. Additionally, the model can precisely forecast the stress associated with both natural and saturated coal and can be useful in the prevention of rock-coal disasters in water conditions.

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Applicability of strain energy density criterion for fracture prediction of notched PLA specimens produced via fused deposition modeling

Cited by 15 publications

References 44 publications

Fracture Load Predictions in Additively Manufactured ABS U-Notched Specimens Using Average Strain Energy Density Criteria

Fracture Load Predictions in Additively Manufactured ABS U-Notched Specimens Using Average Strain Energy Density Criteria

The application of the Theory of Critical Distances to nonhomogeneous materials

Analytical Damage Model for Predicting Coal Failure Stresses by Utilizing Acoustic Emission

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