Thermal simulation in multiphase incompressible flows using coupled meshfree and particle level set methods

Afrasiabi, Mohamadreza; Roethlin, M.; Wegener, Konrad

doi:10.1016/j.cma.2018.03.021

Cited by 26 publications

(10 citation statements)

References 67 publications

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“…A broad array of other meshfree schemes for discretizing the Laplace operator can be found in [25]. Using (12) guarantees the conservation of energy to the precision of the time-stepping algorithm, which is a key advantage of this scheme. Now, the governing PDEs can be discretized in space using the meshfree schemes presented from (10) to (12).…”

Section: Sph Formalism and Discrete Equationsmentioning

confidence: 99%

See 1 more Smart Citation

Parameter Identification of a Friction Model in Metal Cutting Simulations with GPU-Accelerated Meshfree Methods

Afrasiabi¹,

Klippel²,

Roethlin³

et al. 2021

14th WCCM-ECCOMAS Congress

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A modular computational framework for the identification of friction parameters in metal machining applications is presented. Numerical simulation of such processes using mesh-based techniques (usually) necessitates the re-meshing procedure, which is time-consuming and hard to parallelize. Therefore, the present framework synthesizes the advantages of mesh-free methods with GPU parallel computing, offering an efficient tool for the optimization procedures in thermomechanical modeling of cutting problems. The proposed approach employs an inverse method to determine the unknown coefficients of a temperature-dependent friction model in high-speed metal cutting. We found good agreement between the numerical results and experimental data through a quantitative-qualitative comparison.

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Section: Sph Formalism and Discrete Equationsmentioning

confidence: 99%

“…Therefore, a numerical framework based on the smoothed particle hydrodynamics (SPH) method [8,9] is developed in this work to identify a new friction model in meshfree cutting simulations. SPH has been widely used in many other fields of applications, such as [10], [11], [12], and [13].…”

Section: Introductionmentioning

confidence: 99%

Parameter Identification of a Friction Model in Metal Cutting Simulations with GPU-Accelerated Meshfree Methods

Afrasiabi¹,

Klippel²,

Roethlin³

et al. 2021

14th WCCM-ECCOMAS Congress

Self Cite

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“…The ICSPM approximation gives a second-order consistent solution [27], while its extra computational effort compared to CSPM is negligible. An adaptation of ICSPM for thermal modeling of 2D multi-phase flows was presented by [38].…”

Section: Improved Cspmmentioning

confidence: 99%

“…Since the source term q l is a surface heat flux, the direction cosine of the normal vector outward from the laser-irradiated surface, n z in Equation 2, needs to be known. Calculation of the unit normal vector in this work follows the color function idea used for the surface tension term in CFD applications [16,38]. For particle i:n…”

Section: Proposed Approach For Boundary Issuesmentioning

confidence: 99%

3D Thermal Simulation of a Laser Drilling Process with Meshfree Methods

Afrasiabi

Wegener

2020

JMMP

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Numerical simulation of laser drilling is rapidly gaining interest in academia and industry since this process remains one of the most important and widely-used technologies in modern manufacturing. Meshfree methods such as Smoothed Particle Hydrodynamics (SPH) have proven to be successful as a numerical tool for the computation of the heat transfer and material removal associated with a laser drilling problem. Nonetheless, the vast majority of recent developments incorporate an inconsistent SPH kernel into their thermal simulations. In this paper, several enhanced schemes are implemented to address this problem by solving the heat transfer more accurately. These meshfree schemes can provide a second-order accurate discretization of the Laplace operator and abolish the inconsistency issue of the standard SPH kernels. An efficient approach is additionally suggested to handle the associated boundary conditions, which relies on the idea of the color function and particle label. The implementation is initially validated by a 3D benchmark study and then applied for the first time to a laser drilling problem.

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“…SPH is known as a well-established numerical tool for modeling fluid dynamics. Examples include the application in impact [3] and shockwave [4] simulations, complex free-surface problems [5], and thermal simulation of multiphase flows by [6,7]. The utilization of SPH in more industrially-oriented fields of application can also be found in the literature.…”

Section: Introductionmentioning

confidence: 99%

Smoothed Particle Hydrodynamics Simulation of Orthogonal Cutting with Enhanced Thermal Modeling

et al. 2021

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Smoothed Particle Hydrodynamics (SPH) is a mesh-free numerical method that can simulate metal cutting problems efficiently. The thermal modeling of such processes with SPH, nevertheless, is not straightforward. The difficulty is rooted in the computationally demanding procedures regarding convergence properties and boundary treatments, both known as SPH Grand Challenges. This paper, therefore, intends to rectify these issues in SPH cutting models by proposing two improvements: (1) Implementing a higher-order Laplacian formulation to solve the heat equation more accurately. (2) Introducing a more realistic thermal boundary condition using a robust surface detection algorithm. We employ the proposed framework to simulate an orthogonal cutting process and validate the numerical results against the available experimental measurements.

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Thermal simulation in multiphase incompressible flows using coupled meshfree and particle level set methods

Cited by 26 publications

References 67 publications

Parameter Identification of a Friction Model in Metal Cutting Simulations with GPU-Accelerated Meshfree Methods

Parameter Identification of a Friction Model in Metal Cutting Simulations with GPU-Accelerated Meshfree Methods

3D Thermal Simulation of a Laser Drilling Process with Meshfree Methods

Smoothed Particle Hydrodynamics Simulation of Orthogonal Cutting with Enhanced Thermal Modeling

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