A Discrete Multi-Physics Model to Simulate Fluid Structure Interaction and Breakage of Capsules Filled with Liquid under Coaxial Load

This paper investigated the mechanical response (including breakage and release of the internal liquid) of single core–shell capsules under compression by means of discrete multi-physics. The model combined Smoothed Particle Hydrodynamics for modelling the fluid and the Lattice Spring Model for the elastic membrane. Thanks to the meshless nature of discrete multi-physics, the model can easily account for the fracture of the capsule’s shell and the interactions between the internal liquid and the solid shell. The simulations replicated a parallel plate compression test of a single core–shell capsule. The inputs of the model were the size of the capsule, the thickness of the shell, the geometry of the internal structure, the Young’s modulus of the shell material, and the fluid’s density and viscosity. The outputs of the model were the fracture type, the maximum force needed for the fracture, and the force–displacement curve. The data were validated by reproducing equivalent experimental tests in the laboratory. The simulations accurately reproduced the breakage of capsules with different mechanical properties. The proposed model can be used as a tool for designing capsules that, under stress, break and release their internal liquid at a specific time.

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Modelling of Tsunami Due to Submarine Landslide by Smoothed Particle Hydrodynamics Method

MATEC Web of Conferences ◽

10.1051/matecconf/201820301001 ◽

2018 ◽

Vol 203 ◽

pp. 01001 ◽

Cited By ~ 1

Author(s):

Vo Nguyen Phu Huan ◽

Indra Sati H. Harahap ◽

Wesam Salah Alaloul

Keyword(s):

Smoothed Particle Hydrodynamics ◽

Experimental Tests ◽

Offshore Structures ◽

Submarine Landslide ◽

Tsunami Waves ◽

Numerical Predictions ◽

Particle Hydrodynamics ◽

Smoothed Particle ◽

Smoothed Particle Hydrodynamics Method ◽

Run Up

Submarine landslide is the most serious threat on both local and regional scales. By way of addition to destroying directly offshore structures, slope failures may also generate destructive tsunami waves. This study has developed a numerical model based on the Smoothed Particle Hydrodynamics (SPH) method to predict four stages of generation, propagation, run-up, and impact of tsunami phenomenon. The numerical predictions in the research were validated with results in the literature and experimental tests. The results of the physical and numerical results presented in this study effort to develop these rule of thumbs to clearly understand some of the mechanics that may play a role in the assessment of tsunami waves.

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MICROSCOPIC-SCALE SIMULATION OF BLOOD FLOW USING SPH METHOD

International Journal of Computational Methods ◽

10.1142/s021987620500065x ◽

2005 ◽

Vol 02 (04) ◽

pp. 555-568 ◽

Cited By ~ 21

Author(s):

NOBUATSU TANAKA ◽

TATSUO TAKANO

Keyword(s):

Blood Flow ◽

Numerical Results ◽

Elastic Membrane ◽

Sph Method ◽

Pinch Effect ◽

Model Based ◽

Migration Effect ◽

Internal Fluid ◽

Particle Hydrodynamics ◽

Smoothed Particle

We have developed a microscopic blood model based on the Smoothed Particle Hydrodynamics (SPH) method. In the model, plasma fluid is discretized by SPH particles, and a red blood cell (RBC) is expressed by internal SPH particles surrounded by elastic membrane particles. For verifying the model, we numerically analyzed two popular phenomena of blood flow. One is the tank-tread motion of an RBC under a constant shear field. The numerical results are agreed well with the experimental data and the tank-tread motion of RBC is well reproduced. The other is the axial migration or pinch effect of RBCs in Poiseuille flow. From the numerical results, we find that the axial migration effect becomes weaker as the viscosity of cell internal fluid becomes higher. The reason is because the RBC motion changes from tank-tread motion to rigid body rotation (from axial migration effect to pinch effect) as the cell contents become thick. From these results, it is confirmed that our blood model based on the SPH method can well express microscopic and rheological properties of RBCs.

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Numerical Modeling of Thermo-Mechanically Induced Stress in Substrates for Droplet-Based Additive Manufacturing Processes

Journal of Manufacturing Science and Engineering ◽

10.1115/1.4043254 ◽

2019 ◽

Vol 141 (6) ◽

Cited By ~ 1

Author(s):

Chang Yoon Park ◽

Tarek I. Zohdi

Keyword(s):

Additive Manufacturing ◽

Mechanical Response ◽

Fe Model ◽

Simulation Framework ◽

Order Accuracy ◽

Free Surfaces ◽

Flat Substrate ◽

Particle Hydrodynamics ◽

Smoothed Particle ◽

Laplacian Operators

Within the scope of additive manufacturing (AM) methods, a large number of popular fabrication techniques involve high-temperature droplets being targeted to a substrate for deposition. In such methods, an “ink” to be deposited is tailor-made to fit the desired application. Concentrated stresses are induced on the substrate in such procedures. A numerical simulation framework that can return quantitative and qualitative insights regarding the mechanical response of the substrate is proposed in this paper. A combined smoothed particle hydrodynamics (SPH)-finite element (FE) model is developed to solve the governing coupled thermo-mechanical equations, for the case of Newtonian inks. We also highlight the usage of consistent SPH formulations in order to recover first-order accuracy for the gradient and Laplacian operators. This allows one to solve the heat-equation more accurately in the presence of free-surfaces. The proposed framework is then utilized to simulate a hot droplet impacting a flat substrate.

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Accuracy analysis of different higher-order Laplacian models of incompressible SPH method

Engineering Computations ◽

10.1108/ec-02-2019-0057 ◽

2019 ◽

Vol 37 (1) ◽

pp. 181-202 ◽

Cited By ~ 2

Author(s):

Zohreh Heydari ◽

Gholamreza Shobeyri ◽

Seyed Hossein Ghoreishi Najafabadi

Keyword(s):

Least Squares Method ◽

Computational Cost ◽

Higher Order ◽

Computational Domain ◽

Content Type ◽

Incompressible Sph ◽

Proposed Model ◽

Particle Hydrodynamics ◽

Moving Least Squares Method ◽

Smoothed Particle

Purpose This paper aims to examine the accuracy of several higher-order incompressible smoothed particle hydrodynamics (ISPH) Laplacian models and compared with the classic model (Shao and Lo, 2003). Design/methodology/approach The numerical errors in solving two-dimensional elliptic partial differential equations using the Laplacian models are investigated for regular and highly irregular node distributions over a unit square computational domain. Findings The numerical results show that one of the Laplacian models, which is newly developed by one of the authors (Shobeyri, 2019) can get the smallest errors for various used node distributions. Originality/value The newly proposed model is formulated by the hybrid of the standard ISPH Laplacian model combined with Taylor expansion and moving least squares method. The superiority of the proposed model is significant when multi-resolution irregular node distributions commonly seen in adaptive refinement strategies used to save computational cost are applied.

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Analysis of a New SEN Design with an Inner Flow Divider

Metals ◽

10.3390/met11091437 ◽

2021 ◽

Vol 11 (9) ◽

pp. 1437

Author(s):

Jesus Gonzalez-Trejo ◽

Ruslan Gabbasov ◽

Jose Raul Miranda-Tello ◽

Ignacio Carvajal-Mariscal ◽

Francisco Cervantes-de-la-Torre ◽

...

Keyword(s):

Surface Defects ◽

Submerged Entry Nozzle ◽

Experimental Tests ◽

Scaled Model ◽

Promising Alternative ◽

Flow Divider ◽

Steel Slab ◽

Particle Hydrodynamics ◽

Physical Simulations ◽

Smoothed Particle

To minimize the product imperfections due to slag entrapment and surface defects, the fluid flow pattern inside the mold must be symmetric, commonly named double-roll flow. Thus, the liquid steel must enter into the mold evenly distributed. The submerged entry nozzle (SEN) is crucial in product quality in vertical steel slab continuous casting machines because it distributes the molten steel from the tundish into the mold. This work evaluates the performance of a novel bifurcated nozzle design named “SEN with flow divider”. The symmetry at the outlet ports is obtained by imposing symmetry inside the SEN. The flow divider is a solid barrier attached at the SEN bottom inner wall, the height of which slightly surpasses the upper edges of the outlet ports. The performance analysis is done first using numerical simulations, where the Computational Fluid Dynamics (CFD) technique and the Smoothed Particle Hydrodynamics (SPH) approach are used. Then, experimental tests on a scaled model are also used to evaluate the SEN performance. Numerical and physical simulations showed that the flow divider considerably reduces the SEN outlet jets’ broadness and misalignment, producing compact, aligned, and symmetric jets. Therefore, the SEN design analyzed in this work is a promising alternative to improve process profitability.

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Smoothed Particle Hydrodynamics Simulation of Liquid Drop Impinging Hypoelastic Surfaces

International Journal of Computational Methods ◽

10.1142/s0219876219400012 ◽

2018 ◽

Vol 17 (05) ◽

pp. 1940001

Author(s):

Xiangwei Dong ◽

Zengliang Li ◽

Zirui Mao ◽

Yanxin Liu

Keyword(s):

Smoothed Particle Hydrodynamics ◽

Liquid Drop ◽

Theoretical Description ◽

Solid Surfaces ◽

Nano Technology ◽

Liquid Drops ◽

Proposed Model ◽

Particle Hydrodynamics ◽

Smoothed Particle ◽

Water Drops

The phenomenon of liquid drops impact on elastic surfaces widely exists in nature and industry. Theoretical description of this phenomenon is relatively difficult, due to its transient and fluid–structure interaction nature. In this study, a numerical model is proposed based on the smoothed particle hydrodynamics (SPH) method to simulate a liquid drop impact on hypoelastic solid surfaces. A key feature of the proposed model is that the surface tension effect is modeled by reconstructing the free surface of the droplet. We simulate water drops impact on super-hydrophobic cantilever beams. Interesting phenomena of droplet bouncing and beam vibration are reproduced by the model. The predicted behavior qualitatively agrees with the experimental observation. These analyses may be beneficial to engineering new materials and new devices in such areas as fabrics, agriculture, petroleum, and micro/nano technology.

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