GPU-accelerated meshfree simulations for parameter identification of a friction model in metal machining

Afrasiabi, Mohamadreza; Meier, Linus; Röthlin, Matthias; Klippel, Hagen; Wegener, Konrad

doi:10.1016/j.ijmecsci.2020.105571

Cited by 27 publications

(36 citation statements)

References 73 publications

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“…It is worth mentioning that all numerical simulations in this work are based on single-resolution SPH formulations; thus, a uniform constant mass is allocated to each computational node and the momentum equation (i.e., Equation (2)) does not require the utilization of mass scaling. An elaboration of this subject, as well as further details on the numerical stabilization procedure, can be found in [19,20]. This mechanical system is coupled with thermal effects by solving the heat conduction equation:…”

Section: Governing Equationsmentioning

confidence: 99%

“…For friction modeling, Coulomb's law with a constant coefficient of µ = 0.35 is considered as a typical choice in LS-DYNA [13] and other SPH cutting models like [17], unless otherwise mentioned. As the magnitude of µ has a significant impact on the force prediction of numerical cutting models (see in [19,26] for more details), a sensitivity analysis will be presented to provide further insights into the influence of the friction coefficient on simulation results.…”

Section: Governing Equationsmentioning

confidence: 99%

“…More recently, the concept of parallel computing on Graphics Processing Units (GPU) has been introduced to both 2D [17] and 3D [18] SPH cutting simulations to boost the computational performance. Afrasiabi et al [19] employed this GPU-accelerated approach for inverse parameter identification and proposed a temperature-dependent coefficient of friction in SPH cutting models. Furthermore, a tailor-made framework for the multi-resolution SPH simulation of orthogonal cutting tests was published by [20].…”

Section: Introductionmentioning

confidence: 99%

“…Although previous studies have demonstrated some excellent results in the capability of SPH to simulate metal cutting processes, none of them accounts for heat loss boundary conditions in their thermal model. More specifically, the issue with ignoring the heat transfer from the workpiece to the tool in SPH models (e.g., in [13,20]) was addressed by some recent works in [17,19]. However, the thermal modeling approach in these papers also suffers from two shortcomings: (1) Utilizing an inconsistent Laplacian operator that deteriorates the solution accuracy near the boundaries.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Governing Equationsmentioning

confidence: 99%

Section: Governing Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Smoothed Particle Hydrodynamics Simulation of Orthogonal Cutting with Enhanced Thermal Modeling

et al. 2021

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“…In [14], the authors reproduced the results of [12] by using yet another particle-based scheme. It is worth mentioning that the number of SPH developments in other fields of application is overwhelming, and numerous efforts have been made to model a variety of structural [15], CFD [16,17], and manufacturing simulations [18][19][20][21], to name a few. While a growing share of interest in meshfree simulations of laser processing can be noticed upon this literature survey, a comprehensive study of higher order SPH formulations for (3D) thermal modeling in laser-based manufacturing processes seems to be missing from the current state-of-the-art.…”

Section: Introductionmentioning

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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Split‐Hopkinson‐Pressure‐Bar simulations using MPM

Niekamp¹,

Schröder²,

Wiederkehr

et al. 2021

Proc Appl Math and Mech

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The material point method (MPM) represents a discretization method that combines the beneficial aspects of a Lagrangian representation of material within an Eulerian solution scheme. Deformable bodies are discretized with material points that carry mass, kinematical quantities such as velocity and material history variables. The material points are not connected via a Lagrangian mesh but a computational background mesh. This mesh is arbitrary and hence not subject to critical distortion. Due to this aspect, the MPM shows promising potential to large deformation problems. In the context of the "Virtual Machining" project, the MPM will be elaborated for metal cutting simulations of a 42CrMo4 heat treatable steel. The first steps towards this application are experimental investigations on the material parameters. To gather data on the rate dependence in the constitutive response of 42CroMo4, Split-Hopkinson-Pressure-Bar (SHPB) experiments were performed. These tests are subject to numerical analysis using the MPM to get a first impression of the method in this kind of problem. This contribution represents a proof of concept for an SHPB analysis on the here chosen MPM scheme.

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GPU-accelerated meshfree simulations for parameter identification of a friction model in metal machining

Cited by 27 publications

References 73 publications

Smoothed Particle Hydrodynamics Simulation of Orthogonal Cutting with Enhanced Thermal Modeling

Smoothed Particle Hydrodynamics Simulation of Orthogonal Cutting with Enhanced Thermal Modeling

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

Split‐Hopkinson‐Pressure‐Bar simulations using MPM

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