Fe-simulation of crack paths in the real microstructure of an Al(6061)/SiC composite

Wulf, J.; Steinkopff, Th.; Fischmeister, H. F.

doi:10.1016/1359-6454(95)00328-2

Cited by 50 publications

(28 citation statements)

References 26 publications

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“…In the food industry, the linear elasticity and thermal conductivity of two-phase materials ͑polycrystalline ice, cream͒ have been simulated from x-ray computed tomography ͑CT͒ images. 31 The dynamics of fracture and the influence of structure on the path of crack propagation have been investigated using imported microstructures of an Al+ SiC composite 32 and TiB 2 +Al 2 O 3 in the high strain-rate regime. 33 Real microstructures are also being used to help solve problems in the area of human biology.…”

Section: Modeling Backgroundmentioning

confidence: 99%

Discrete particle simulation of shock wave propagation in a binary Ni+Al powder mixture

Eakins

Thadhani

2007

Journal of Applied Physics

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Numerical simulations of shock wave propagation through discretely represented powder mixtures were performed to investigate the characteristics of deformation and mixing in the Ni+ Al system. The initial particle arrangements and morphologies were imported from experimentally obtained micrographs of powder mixtures pressed at densities in the range of 45%-80% of the theoretical maximum density ͑TMD͒. Simulations were performed using these imported micrographs for each density compact subjected to driver velocities ͑U p ͒ of 0.5, 0.75, and 1 km/ s, and the resulting shock velocity ͑U s ͒ was used to construct the U s -U p equation of state. The simulated equation of state for the 60% TMD mixture was validated by matching results obtained from previous gas-gun experiments. The details of shock wave propagation through the Ni+ Al powder mixtures were explored on several scales. It is shown that the shock compression of mixtures of powders of dissimilar densities and strength is associated with heterogeneous deformation processes leading to focused flow, particulation, and vortex formation, resulting in local fluctuations in pressure and temperature, which collectively are responsible for highly irregular "shock" fronts and unstable high-pressure states in granular media.

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Section: Modeling Backgroundmentioning

confidence: 99%

Discrete particle simulation of shock wave propagation in a binary Ni+Al powder mixture

Eakins

Thadhani

2007

Journal of Applied Physics

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“…Real microstructures have been used in several cases to simulate the mesoscale deformation and fracture responses of a number of monolithic and composite material systems [14,15]. The shock-compression response of complex materials has also been studied recently [1,16].…”

Section: Introductionmentioning

confidence: 99%

Mesoscale simulation of the configuration-dependent shock-compression response of Ni+Al powder mixtures

Eakins

Thadhani

2008

Acta Materialia

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“…This explains the phenomenon that the larger particle has less fatigue life [3]. Plotted in Figure 10 are the theoretical prediction of the fatigue crack incubation life (load cycles) against inclusion size with varying applied load using (10,(13)(14)(15)(16)(17)(18)(19)(20)(21)(22). As can be anticipated, the detail comparison between this prediction and experimental results show that the theoretically estimated fatigue life is about 30-90% higher than test.…”

Section: A Dislocation Model For Optimizing Fatigue Life and Strengthmentioning

confidence: 94%

“…By substituting (22) into (15) and then into (9) and (10), we obtain relations among applied stress, load cycle, inclusion size, spacing and materials properties such as those listed in Table 1 at the instance that the piled dislocation loops become unstable, which is corresponding to the incubation of fatigue cracking. The resulted equation demonstrates that the material intrinsic strength is proportional to the production of the interfacial adhesion energy and inclusion radius r minus the pileup energy times r 3 , but inversely proportional to the inclusion space L. Thus, when a material has just suffered a small number of load cycle under a given stress amplitude of τ appl , the intrinsic strength is linearly proportional to the inclusion size r as the term with cubic of the inclusion radius in (22) is small.…”

Section: A Dislocation Model For Optimizing Fatigue Life and Strengthmentioning

confidence: 99%

“…The correspondent equilibrium state can be characterized by the system energy that is computed as the summation of pileup dislocation energy [21]. When this energy accumulation reaches a critical level, it will drive the dislocations away from the equilibrium position which causes debonding, as formulated by (10,(13)(14)(15)(16) and illustrated in Figure 7b. The general theory of dislocations and solution strategies can be found in [22,23,33].…”

Section: A Dislocation Model For Optimizing Fatigue Life and Strengthmentioning

confidence: 99%

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A design-centered approach in developing Al-Si-based light-weight alloys with enhanced fatigue life and strength

Fan

Hao

2004

J Computer-Aided Mater Des

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Material heterogeneities and discontinuities such as porosity, second phase particles, and other defects at meso/micro/nano scales, determine fatigue life, strength, and fracture behavior of aluminum castings. In order to achieve better performance of these alloys, a design-centered computeraided renovative approach is proposed. Here, the term "design-centered" is used to distinguish the new approach from the traditional trial-and-error design approach by formulating a clear objective, offering a scientific foundation, and developing a computer-aided effective tool for the alloy development. A criterion for tailoring "child" microstructure, obtained by "parent" microstructure through statistical correlation, is proposed for the fatigue design at the initial stage. A dislocations pileup model has been developed. This dislocation model, combined with an optimization analysis, provides an analytical-based solution on a small scale for silicon particles and dendrite cells to enhance both fatigue performance and strength for pore-controlled castings. It can also be used to further tailor microstructures. In addition, a conceptual damage sensitivity map for fatigue life design is proposed. In this map there are critical pore sizes, above which fatigue life is controlled by pores; otherwise it is controlled by other mechanisms such as silicon particles and dendrite cells. In the latter case, the proposed criteria and the dislocation model are the foundations of a guideline in the design-centered approach to maximize both the fatigue life and strength of Al-Si-based light-weight alloy.

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Fe-simulation of crack paths in the real microstructure of an Al(6061)/SiC composite

Cited by 50 publications

References 26 publications

Discrete particle simulation of shock wave propagation in a binary Ni+Al powder mixture

Discrete particle simulation of shock wave propagation in a binary Ni+Al powder mixture

Mesoscale simulation of the configuration-dependent shock-compression response of Ni+Al powder mixtures

A design-centered approach in developing Al-Si-based light-weight alloys with enhanced fatigue life and strength

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