Waterjet penetration simulation by hybrid code of SPH and FEA

Ma, Liang; Bao, Rui; Guo, Yongsheng

doi:10.1016/j.ijimpeng.2007.05.007

Cited by 61 publications

(22 citation statements)

References 21 publications

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“…The most important is that the accuracy of SPH solution is not influenced by the arbitrary distribution of particles under any extreme conditions. So, thanks to its huge advantages in adaptability, straightforwardness, and implementation ease, this particle method originally invented for astrophysical applications 2,9,10 has been rapidly extended and applied to a vast range of applications, such as the multiphase flow, [11][12][13] explosion and underwater shocks, [14][15][16][17] penetration, [18][19][20] high-velocity impact, [21][22][23][24][25] and geophysics, [26][27][28][29] etc.…”

Section: Introductionmentioning

confidence: 99%

A 3D Lagrangian gradient smoothing method framework with an adaptable gradient smoothing domain‐constructing algorithm for simulating large deformation free surface flows

Mao

Liu

2019

Numerical Meth Engineering

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Summary A novel smoothing particle hydrodynamics (SPH)‐like Lagrangian meshfree method, named as Lagrangian gradient smoothing method (L‐GSM), has been proposed to avoid the “tensile instability” issue in SPH simulation by replacing the SPH particle‐summation gradient approximation technique with a local grid‐based GSM gradient smoothing operator. The L‐GSM model has been proven effective and efficient when applied to a wide range of large deformation problems for fluids and flowing solids in two‐dimensional case. In this study, a three‐dimensional (3D) L‐GSM numerical framework is proposed for simulating large deformation problems with the existence of free surfaces through developing a widely adaptable 3D gradient smoothing domain (GSD) constructing algorithm. It includes three key novel ingredients: (i) the localized GSD based on an efficient distance‐oriented particle‐searching algorithm enabling both easy implementation and efficient computation; (ii) a novel algorithm for constructing 3D GSD to guarantee the effectiveness of the 3D GSM gradient operator adaptable to any extreme cases; (iii) a robust normalized 3D GSM gradient operator formulation that can restore the accuracy of gradient approximation even on boundary interface. The effectiveness of the proposed 3D GSD‐constructing algorithm is first verified under various distribution conditions of particles. The accuracy of the proposed adaptable 3D GSM gradient algorithm is then examined through conducting a series of numerical experiments with different spacing ratios. Finally, the 3D L‐GSM numerical framework is applied to solve a practical problem of free surface flows with large deformation: collapse of a soil column. The results reveal that the present adaptable 3D L‐GSM numerical framework can effectively handle the large deformation problems, like flowing solids, with a constantly changing arbitrary free surface profile.

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Section: Introductionmentioning

confidence: 99%

A 3D Lagrangian gradient smoothing method framework with an adaptable gradient smoothing domain‐constructing algorithm for simulating large deformation free surface flows

Mao

Liu

2019

Numerical Meth Engineering

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“…The material models used for the mandible and bullet were the n MAT_PIECEWISE_LINEAR_PLASTI-CITY, which was n MAT type 24 in the LS-DYNA 970 code. The material properties of the mandible and bullet that were acquired from published literature (Daas et al, 2008;Ma et al, 2008) are shown in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Wound ballistics of the pig mandibular angle: A preliminary finite element analysis and experimental study

Chen

Miao

et al. 2010

Journal of Biomechanics

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“…If we also assume that X t ( ) is strictly increasing (the jet never retraces its path), 1 we can write (6) as …”

Section: Linear Inverse Problemmentioning

confidence: 99%

“…given a model for the footprint and the beam path, to determine the generated surface, has been reported. Some of the most common methods are based on statistical approaches [5], finite element methods [6][7][8] or artificial intelligence methods [9]. Finite element methods have also been used to model overlapped footprints [10].…”

Section: Introductionmentioning

confidence: 99%

The linear inverse problem in energy beam processing with an application to abrasive waterjet machining

Guillerna

Axinte

Billingham

2015

International Journal of Machine Tools and Manufacture

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a b s t r a c tThe linear inverse problem for energy beam processing, in which a desired etched profile is known and a trajectory of the beam that will create it must be found, is studied in this paper. As an example, abrasive waterjet machining (AWJM) is considered here supported by extensive experimental investigations. The behaviour of this process can be described using a linear model when the angle between the jet and the surface is approximately constant during the process, as occurs for shallow etched profiles. The inverse problem is usually solved by simply controlling dwell time in proportion to the required depth of milling, without considering whether the target surface can actually be etched. To address this, a Fourier analysis Is used to show that high frequency components in the target surface cannot be etched due to the geometry of the jet and the dynamics of the machine. In this paper, this frequency domain analysis is used to improve the choice of the target profile in such a way that it can be etched. The dynamics of the machine also have a large influence on the actual movement of the jet. It is very difficult to describe this effect because the controller of the machine is usually unknown. A simple approximation is used for the choice of the slope of a step profile. The tracking error between the desired trajectory and the real one is reduced and the etched profile is improved. Several experimental tests are presented to show the usefulness of this approach. Finally, the limitations of the linear model are studied.

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Waterjet penetration simulation by hybrid code of SPH and FEA

Cited by 61 publications

References 21 publications

A 3D Lagrangian gradient smoothing method framework with an adaptable gradient smoothing domain‐constructing algorithm for simulating large deformation free surface flows

A 3D Lagrangian gradient smoothing method framework with an adaptable gradient smoothing domain‐constructing algorithm for simulating large deformation free surface flows

Wound ballistics of the pig mandibular angle: A preliminary finite element analysis and experimental study

The linear inverse problem in energy beam processing with an application to abrasive waterjet machining

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