Computer simulation of two‐dimensional linear‐shaped charge jet using smoothed particle hydrodynamics

2011 ◽  
Vol 28 (1) ◽  
pp. 58-75 ◽  
Author(s):  
Yang Gang ◽  
Han Xu ◽  
Hu De'an
Keyword(s):  
Computer Simulation ◽  
Smoothed Particle Hydrodynamics ◽  
Shaped Charge ◽  
Two Dimensional ◽  
Linear Shaped Charge ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Shaped Charge Jet

Numerical Simulation of Die Swell of Second-Order Fluids Using Smoothed Particle Hydrodynamics

2010 ◽  
Author(s):  
Samir Hassan Sadek ◽  
Mehmet Yildiz
Keyword(s):  
Free Surface ◽  
Smoothed Particle Hydrodynamics ◽  
Second Order ◽  
Rheological Parameters ◽  
Die Swell ◽  
Two Dimensional ◽  
Polymeric Fluid ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Second Order Fluids

This work presents the development of both weakly compressible and incompressible Smoothed Particle Hydrodynamics (SPH) models for simulating two-dimensional transient viscoelastic free surface flow which has extensive applications in polymer processing industries. As an illustration with industrial significance, we have chosen to model the extrudate swell of a second-order polymeric fluid. The extrudate or die swell is a phenomenon that takes place during the extrusion of polymeric fluids. When a polymeric fluid is forced through a die to give a polymer its desired shape, due to its viscoelastic non-Newtonian nature, it shows a tendency to swell or contract at the die exit depending on its rheological parameters. The die swell phenomenon is a typical example of a free surface problem where the free surface is formed at the die exit after the polymeric fluid has been extruded. The swelling process leads to an undesired increase in the dimensions of the extrudate. To be able to obtain a near-net shape product, the flow in the extrusion process should be well-understood to shed some light on the important process parameters behind the swelling phenomenon. To this end, a systematic study has been carried out to compare constitutive models proposed in literature for second-order fluids in terms of their ability to capture the physics behind the swelling phenomenon. The effect of various process and rheological parameters on the die swell such as the extrusion velocity, normal stress coefficients, and Reynolds and Deborah numbers have also been investigated. The models developed here can predict both swelling and contraction of the extrudate successfully. The die swell problem was solved for a wide range of Deborah numbers and for two different Re numbers. The numerical model was validated through the solution of fully developed Newtonian and Non-Newtonian viscoelastic flows in a two-dimensional channel, and the results of these two benchmark problems were compared with analytic solutions, and good agreements were obtained.

scholarly journals SPLASH: An Interactive Visualisation Tool for Smoothed Particle Hydrodynamics Simulations

2007 ◽  
Vol 24 (3) ◽  
pp. 159-173 ◽  
Author(s):  
Daniel J. Price
Keyword(s):  
Smoothed Particle Hydrodynamics ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Mapping Procedure ◽  
Visualisation Tool ◽  
Pixel Array ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Interactive Visualisation ◽  
Grid Based

AbstractThis paper presents SPLASH, a publicly available interactive visualisation tool for Smoothed Particle Hydrodynamics (SPH) simulations. Visualisation of SPH data is more complicated than for grid-based codes because the data are defined on a set of irregular points and therefore requires a mapping procedure to a two dimensional pixel array. This means that, in practise, many authors simply produce particle plots which offer a rather crude representation of the simulation output. Here we describe the techniques and algorithms which are utilised in SPLASH in order to provide the user with a fast, interactive and meaningful visualisation of one, two and three dimensional SPH results.

scholarly journals GPU Accelerated Particle-based Computational Acoustics Solving Based on SPH

2017 ◽  
Author(s):  
Linxu Fan ◽  
Yongou Zhang ◽  
Chizhong Wang ◽  
Tao Zhang
Keyword(s):  
Fluid Dynamics ◽  
Wave Equation ◽  
Smoothed Particle Hydrodynamics ◽  
Search Method ◽  
Two Dimensional ◽  
Linked List ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Dynamics Problems ◽  
Dimensional Domain

Smoothed particle hydrodynamics (SPH) is regarded as a pure Lagrangian approach, which can solve fluid dynamics problems without the creation of mesh. In this paper, a paralleled SPH solver is developed to solve particle-based computational acoustics (PCA). The aim of this paper is to study the feasibility of using SPH to solve acoustic problems and to improve the efficiency of solving processes by paralleling some procedures on GPU during calculating. A stand SPH code running serially in a CPU is proposed to solve wave equation. This is a wave propagating in a two-dimensional domain. After finishing the computation, the results are compared with the theoretical solutions and they agree well. So its feasibility is verified. There are two main methods for searching neighbor particles: all-pair search method and linked-list search method. Both methods are used in different codes to simulate an identical problem and their runtimes are compared to investigate their searching efficiencies. The runtime results show that linked-list search method has a higher efficiency, which can save a lot of searching time when simulating problems with huge amounts of particles. Furthermore, the percentages of different procedures’ runtimes in a simulation are also discussed to find the most consuming one. Then, some codes are modified to run in different GPUs and their runtimes are compared with those of serial ones on a CPU. Runtime results show that the paralleled algorithm can be more than 80 times faster than the serial one. The result shows that GPU paralleled SPH computing can achieve desirable accuracy and speed in solving acoustic problems.

scholarly journals Research on the Effect of Particle Distribution on the Crack Propagation in Shaped Energy Blasting Based on the Smoothed Particle Hydrodynamics

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Pengfei Guo ◽  
Xiaohu Zhang ◽  
Weisheng Du ◽  
Xiaochun Xiao ◽  
Dingjie Sun
Keyword(s):  
Smoothed Particle Hydrodynamics ◽  
Particle Distribution ◽  
Shaped Charge ◽  
Uneven Distribution ◽  
Adaptive Optimization ◽  
Sph Method ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Particle Configuration ◽  
Self Adaptive

Conventional smoothed particle hydrodynamics (SPH) methods suffer from disadvantages, such as difficult initial particle configuration, uneven distribution of generated particles, and low computational efficiency when applied to numerical simulation of shaped charge blasting. In this research, to overcome these problems, a modified SPH method that generates the particle configuration through self-adaptive optimization is developed by the combined application of MATLAB and LS-DYNA. The results presented in this paper demonstrate that the modified configuration method solves the problem of uneven distribution of particles in complex geometry domains by providing a more uniform smoothed particle distribution than the conventional SPH method. Furthermore, the results from the application of these two methods to the bidirectional-shaped charge blasting problem reveal that the defects in the particle configuration in the conventional SPH method lead to the development of main cracks in both the shaped and the unshaped directions. However, with the self-adaptive optimization method, the main cracks develop only in the shaped direction. In addition, the equivalent stress difference between the shaped and unshaped directions, 0.7 ms after detonation, is 120 MPa with the modified method. This is 85 MPa more than that with the conventional method.

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