Smooth particle hydrodynamics: a meshless approach for structural mechanics

Shrey, Shubh; Kothavale, B. S.; Saraf, M. R.; kakade*, Hrishikesh S; Shelke, Sujay; Kusupudi, Krishna

doi:10.1177/00375497231180956

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…As such, it would be relatively easy to integrate our system to any existing SPH-based approach. 23 Our approach uses two components to define the inflow and the outflow of the fluid. They can be superimposed on one another to simulate a boundary that is both an inflow and an outflow area.…”

Section: Fast Perturbation Absorptionmentioning

confidence: 99%

Fluid initialization and dynamic window for smoothed-particle hydrodynamics simulation

Carensac,

Pronost,

Bouakaz

2024

SIMULATION

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Fluid simulation is an essential tool to produce realistic looking animations. In particular, Lagrangian simulations offer interactive computation times with an easy integration of the two-way interaction with rigid bodies. However, the interactivity is lost for larger scenes even if only the areas around the bodies have any visual interest. In this paper, we present a novel approach to quickly initialize additional fluid in a rest state in simulations with any 3D boundary shape and able to preserve any already existing fluid. Our approach only uses the density property of the particles to allow compatibility with any smoothed-particle hydrodynamics (SPH) simulation scheme and any boundaries model. This initialization method is fast enough to allow the initialization of new fluid volumes interactively while the simulation is running. We showcase our approach by proposing a method to create a dynamic simulation window, allowing the restriction of simulating the fluid only around moving objects. We propose multiple experiments to demonstrate the capabilities and performance of our approach.

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Section: Fast Perturbation Absorptionmentioning

confidence: 99%

Fluid initialization and dynamic window for smoothed-particle hydrodynamics simulation

Carensac,

Pronost,

Bouakaz

2024

SIMULATION

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show abstract

“…Other numerical models for simulating the machining process include meshless and particle-based methods, the discrete element method, and the molecular dynamics (MD) simulation method. Meshless methods such as Smoothed-Particle Hydrodynamics (SPH) have been adopted as an alternative to the widely used FEM to handle large deformations in the workpiece [61,62]. Röthlin et al [63] conducted high-resolution SPH simulations using scientific computing on a Graphics Processing Unit, GPU.…”

Section: Efficient Multi-scale Modelling For Process Optimizationmentioning

confidence: 99%

Cyber–Physical Systems for High-Performance Machining of Difficult to Cut Materials in I5.0 Era—A Review

Gohari,

Hassan,

Shi

et al. 2024

Sensors

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The fifth Industrial revolution (I5.0) prioritizes resilience and sustainability, integrating cognitive cyber-physical systems and advanced technologies to enhance machining processes. Numerous research studies have been conducted to optimize machining operations by identifying and reducing sources of uncertainty and estimating the optimal cutting parameters. Virtual modeling and Tool Condition Monitoring (TCM) methodologies have been developed to assess the cutting states during machining processes. With a precise estimation of cutting states, the safety margin necessary to deal with uncertainties can be reduced, resulting in improved process productivity. This paper reviews the recent advances in high-performance machining systems, with a focus on cyber-physical models developed for the cutting operation of difficult-to-cut materials using cemented carbide tools. An overview of the literature and background on the advances in offline and online process optimization approaches are presented. Process optimization objectives such as tool life utilization, dynamic stability, enhanced productivity, improved machined part quality, reduced energy consumption, and carbon emissions are independently investigated for these offline and online optimization methods. Addressing the critical objectives and constraints prevalent in industrial applications, this paper explores the challenges and opportunities inherent to developing a robust cyber–physical optimization system.

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Dough kneading load simulation for stand mixer using smoothed particle hydrodynamics approach

Shrey,

Kothavale,

Saraf

et al. 2024

SIMULATION

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Stand mixer is a consumer-durable appliance, primarily used for kneading, whipping, shredding, mixing, scrambling, etc. During the kneading process, there arises a situation when the hook gets stuck or the stand mixer starts to wobble or shake. Repercussions of these phenomena could lead to overheating of the transmission system, inability of the stand mixer to provide the required torque, bowl stripping out, etc. Usually, in industries, physical tests are carried out to determine the torque load exerted on the stand mixer. Hence, through this research, we intend to develop a simulation methodology to determine the torque load exerted by the dough on the stand mixer during the kneading process. The proposed research comprises the dough material model, the application of the smoothed particle hydrodynamics (SPH) approach for representing the dough material, due to its ability to withstand high deformation and shearing loads, and the development of simulation methodology. Sensitivity analysis was also carried out to examine the effect of various parameters on the simulation results.

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Smooth particle hydrodynamics: a meshless approach for structural mechanics

Cited by 3 publications

References 16 publications

Fluid initialization and dynamic window for smoothed-particle hydrodynamics simulation

Fluid initialization and dynamic window for smoothed-particle hydrodynamics simulation

Cyber–Physical Systems for High-Performance Machining of Difficult to Cut Materials in I5.0 Era—A Review

Dough kneading load simulation for stand mixer using smoothed particle hydrodynamics approach

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