An SPH framework for fluid–solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions

Fuchs, Sebastian L.; Meier, Christoph; Wall, Wolfgang A.; Cyron, Christian J.

doi:10.1186/s40323-021-00200-w

Cited by 8 publications

(5 citation statements)

References 69 publications

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“…In Section 3.3 first steps towards a high-fidelity melt pool model that explicitly resolves these effects of evaporation and gas dynamics will be presented. Also first steps towards the representation of mobile powder particles in the melt pool model have been made [27]. Figure 7 displays the melt pool dynamics resulting from variant 2.…”

Section: Exemplary Simulation Resultsmentioning

confidence: 99%

Physics‐based modeling and predictive simulation of powder bed fusion additive manufacturing across length scales

et al. 2021

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Powder bed fusion additive manufacturing (PBFAM) of metals has the potential to enable new paradigms of product design, manufacturing and supply chains while accelerating the realization of new technologies in the medical, aerospace, and other industries. Currently, wider adoption of PBFAM is held back by difficulty in part qualification, high production costs and low production rates, as extensive process tuning, post-processing, and inspection are required before a final part can be produced and deployed. Physics-based modeling and predictive simulation of PBFAM offers the potential to advance fundamental understanding of physical mechanisms that initiate process instabilities and cause defects. In turn, these insights can help link process and feedstock parameters with resulting part and material properties, thereby predicting optimal processing conditions and inspiring the development of improved processing hardware, strategies and materials. This work presents recent developments of our research team in the modeling of metal PBFAM processes spanning length scales, namely mesoscale powder modeling, mesoscale melt pool modeling, macroscale thermo-solid-mechanical modeling and microstructure modeling.Ongoing work in experimental validation of these models is also summarized. In conclusion, we discuss the interplay of these individual submodels within an integrated overall modeling approach, along with future research directions. K E Y W O R D Sadditive manufacturing, defects, melt pool, microstructure, modeling and simulation, powder, powder bed fusion, residual stressesThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Exemplary Simulation Resultsmentioning

confidence: 99%

Physics‐based modeling and predictive simulation of powder bed fusion additive manufacturing across length scales

et al. 2021

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“…Due to their Lagrangian nature, these particle methods are well suited for calculating free surface flows with complex interfacial geometries, such as tsunamis. The recent research has expanded the range of applications to include geomechanical applications [13][14][15], thermal melting problems in solids [16,17], and medical problems [18].…”

Section: Introductionmentioning

confidence: 99%

Seepage failure prediction of breakwater using an unresolved ISPH-DEM coupling method enriched with Terzaghi’s critical hydraulic gradient

Tsuji

Asai

Kasama

2023

Adv. Model. and Simul. in Eng. Sci.

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This study develops a new numerical simulation model for rubble mound failure prediction caused by piping destruction under seepage flows. The piping has been pointed out as a significant cause of breakwater failure during tsunamis. Once boiling and heaving occur on the mound surface, the piping suddenly propagates in the opposite direction of seepage flow. For the seepage failure prediction, a coupled fluid-soil-structure simulator is developed by combining the ISPH for fluid and the DEM for rubble mounds and caisson blocks. The ISPH, a Lagrangian particle method for incompressible fluids, can simulate seepage and violent flows such as tsunamis. The DEM has been applied for discrete particle and rigid body simulations that include discontinuous deformation, as in the rubble mounds failure and large displacement of the caisson block. ISPH-DEM coupling simulations have already been proposed as a technique for multi-phase flows. Still, the technique cannot reproduce the sudden onset of piping from a stable mound. Two simple assumptions are applied to reduce the numerical cost for the fluid-soil-structure simulators of a breakwater structure composed of a rubble mound and the caisson block. Firstly, each rubble is modeled as an idealized spherical DEM particle with the mean diameter of the rubble. The ISPH particle size is assumed to be the same size as the DEM particle. Under these assumptions, the unresolved coupling model between rubble mound particles and fluid, which obtains the interaction through empirical drag force, should be applied. At the same time, the interaction between the fluid and the caisson block is fully resolved with the spatial resolution with the ISPH and DEM particle size. Our new contribution in this paper is how to model the interaction as an unresolved coupling between seepage flow simulated by ISPH and rubble mound particle modeled with DEM. Our original seepage failure experiment is simulated using the proposed ISPH-DEM coupling simulator. We identified the conventional drag force models as the unresolved coupling model are insufficient to initiate the boiling and piping observed in the experiment. It may be due in one part to excessive averaging of flow velocities caused by unresolved coupling. Therefore, Terzaghi’s critical hydraulic gradient is introduced to initiate the boiling and heaving. Unstable DEM particles, judged by Terzaghi’s critical hydraulic gradient, gradually lose their mass to represent unresolved suspended fine rubble mound particles. Our models qualitatively reproduce the sand boiling and backward erosion in the opposite direction of the seepage flow, as shown in the experiment.

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“…Their results showed that tracking the movement of rigid bodies is much easier to model using the SPH method, and it is suitable for complex topologies. 31 In 2019, Ye et al investigated the SPH method as a free mesh method for complex fluid flow. They showed that the SPH method for simulating the flow of complex fluids has advantages that include easy modeling of vortices, free surfaces, solid−liquid interactions, turbulent flows, and deformable and moving boundaries.…”

Section: Introductionmentioning

confidence: 99%

“…They also stated that using the SPH method is much more suitable than network-based methods. Their results showed that tracking the movement of rigid bodies is much easier to model using the SPH method, and it is suitable for complex topologies . In 2019, Ye et al investigated the SPH method as a free mesh method for complex fluid flow.…”

Section: Introductionmentioning

confidence: 99%

Application of Smoothed Particle Hydrodynamics for Modeling of Multiphase Fluid Flow in Non-Uniform Porous Media

Mohammadi,

Shafiei,

Zarin

et al. 2023

Ind. Eng. Chem. Res.

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Multiphase flow modeling through porous media, especially in the oil and gas industry, involves numerically solving differential equations. Several phenomena such as chemical, physical, mechanical, and geological must be considered to solve these equations, and there is no analytical solution for this method. The characterization of these phenomena is possible through laboratory experiments that cannot cover a wide range of parameters and operational conditions. In this study, we investigated the practical use of the smoothed particle hydrodynamics (SPH) method for modeling the multiphase flow through the porous media with complex and random geometry. The primary purpose of this study is to investigate the possibility of using SPH as a complementary method alongside laboratory studies. First, characterization of the single-phase flow was performed, and the essential macroscopic parameters like absolute permeability tensor and tortuosity were extracted. Then, the two-phase flow modeling through porous media was studied. These studies show that the practical parameters such as local saturation changes, fluid displacement, flow hysteresis, breakthrough time, average flow velocity, relative permeability curve, Buckley−Leverett theory, capillary desaturation curve, and recovery factor could be obtained. Finally, the sensitivity analysis of the multiphase flow through the non-uniform porous media was done. For this purpose, the effect of three parameters (geometry of the porous medium, viscosity ratio, and wettability) on multiphase flow through the porous medium was investigated. It was shown that wettability is the most influential parameter in light-phase recovery. At the next level, the geometry of the porous medium shows the most significant effect on the production rate, and the lowest effect was related to the viscosity ratio. The results of this study show that the SPH method can provide a suitable view to the reservoir engineers to predict the multiphase flow behavior through the porous media.

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An SPH framework for fluid–solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions

Cited by 8 publications

References 69 publications

Physics‐based modeling and predictive simulation of powder bed fusion additive manufacturing across length scales

Physics‐based modeling and predictive simulation of powder bed fusion additive manufacturing across length scales

Seepage failure prediction of breakwater using an unresolved ISPH-DEM coupling method enriched with Terzaghi’s critical hydraulic gradient

Application of Smoothed Particle Hydrodynamics for Modeling of Multiphase Fluid Flow in Non-Uniform Porous Media

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