Meshless single grain cutting simulations on the GPU

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

doi:10.1504/ijmms.2019.103488

Cited by 16 publications

(13 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Röthlin et al [6] also presented an approach of single and multiple grain grinding simulation of Ti-6Al-4V using the SPH-method. The simplified three-dimensional geometry of the diamond grain was obtained by microscan measurement.…”

Section: Introductionmentioning

confidence: 99%

Approach to the numerical modelling of the chip temperatures in single grain scratching

Bergs

Röttger

Barth

et al. 2021

Prod. Eng. Res. Devel.

View full text Add to dashboard Cite

To achieve a fundamental understanding of the physical mechanisms and the heat generation in the contact zone during grinding, a large number of experimental and numerical investigations have been carried out to analyse the interaction of single grain and workpiece. Existing numerical models of the interaction between grain and workpiece do not represent the reality and especially the influence of the three-dimensional grain geometry on the temperatures during single grain scratching with sufficient accuracy. An experimental validation of the simulated temperatures has not been carried out yet as there is no appropriate method to measure them in experimental investigations. In this study, a three-dimensional FE-model of the interaction between CBN-grain and workpiece (100Cr6) in the grinding process is presented. The model predicts the chip temperatures for real grain geometries to investigate the interactions between grain and workpiece. The experiments to validate the model were carried out using a ratio pyrometer.

show abstract

Section: Introductionmentioning

confidence: 99%

Approach to the numerical modelling of the chip temperatures in single grain scratching

Bergs

Röttger

Barth

et al. 2021

Prod. Eng. Res. Devel.

View full text Add to dashboard Cite

show abstract

“…These papers do not consider the heat transfer from the workpiece to the tool, while the experimental evidence has shown that a significant proportion of heat in metal machining operations transfers from the chipping zone to the cutting tool [16]. 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.…”

Section: Introductionmentioning

confidence: 99%

Smoothed Particle Hydrodynamics Simulation of Orthogonal Cutting with Enhanced Thermal Modeling

et al. 2021

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…More interestingly, the concept of parallel programming on the Graphics Processing Unit (GPU) has been introduced to the current SPH cutting models. Examples include a GPU-accelerated code developed by [17] and 3D single grain cutting simulations by [18]. One area where GPU-accelerated codes can be of particular interest and efficiency is the parameter identification problems with inverse fitting methods.…”

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

View full text Add to dashboard Cite

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.

show abstract

Meshless single grain cutting simulations on the GPU

Cited by 16 publications

References 0 publications

Approach to the numerical modelling of the chip temperatures in single grain scratching

Approach to the numerical modelling of the chip temperatures in single grain scratching

Smoothed Particle Hydrodynamics Simulation of Orthogonal Cutting with Enhanced Thermal Modeling

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

Contact Info

Product

Resources

About