Simulation of metal cutting with cutting fluid using the Finite-Pointset-Method

Uhlmann, Eckart; Barth, Enrico; Seifarth, Tobias; Höchel, Maximilian; Kuhnert, Jörg; Eisenträger, Almut

doi:10.1016/j.procir.2021.02.013

Cited by 15 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Notably, one of the key advantages of this meshless approach is its capacity to handle complex geometries and irregular boundaries [13]. In problems with the fast changes in the computational domain of the fluid, like Fluid-Structure-Interactions, the FPM found its application as well [14]. In contrast to the conventional Finite Element Method or Finite Difference Method, the FPM does not necessitate a structured mesh.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling of tissue laser irradiation with uncertain parameters using the interval finite pointset method

Korczak

2024

J. Appl. Math. Comput. Mech.

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Numerical modeling of tissue laser irradiation with uncertain parameters using the interval finite pointset method

Korczak

2024

J. Appl. Math. Comput. Mech.

View full text Add to dashboard Cite

“…These processes generate a large amount of heat due to friction and metal deformation [46]. Thus, a cutting fluid, also referred to as coolant or lubricant, is used to rapidly remove heat without needing to pause the production process, while also lubricating and preventing unwanted thermal expansion [44,45]. The temperatures at the cutting region can often be much higher than the boiling temperature of the cutting fluid.…”

Section: Introductionmentioning

confidence: 99%

Meshfree One-Fluid Modelling of Liquid-Vapor Phase Transitions

Suchde¹,

Kraus²,

Bock-Marbach³

et al. 2022

Preprint

View full text Add to dashboard Cite

We introduce a meshfree collocation framework to model the phase change from liquid to vapor at or above the boiling point. While typical vaporization or boiling simulations focus on the vaporization from the bulk of the fluid, here we include the possibility of vaporization from the free surface, when a moving fluid comes into contact with a superheated surface. We present a continuum, one-fluid approach in which the liquid and vapor phases are modelled with the same constitutive equations, with different material properties. The novelty here is a monolithic approach without explicit modelling of the interface between the phases, neither in a sharp nor diffuse sense. Furthermore, no interface boundary conditions or source terms are needed between the liquid and vapour phases. Instead, the phase transition is modelled only using material properties varying with temperature. Towards this end, we also present an enrichment of strong form meshfree generelized finite difference methods (GFDM) to be able to accurately capture derivatives in the presence of jumps in density, viscosity and other physical properties. The numerical results show the ability of our proposed framework to model phase changes with large jumps.

show abstract

“…This method has already been successfully applied in various CFD and continuum mechanics applications. Prominent examples include water crossing of cars, water turbines, hydraulic valves, soil mechanics, metal cutting, and mold filling [10,14,21,23,31,32]. The methods presented here are part of the in-house developed software MESHFREE † , which combines the advantages of GFDM and the fast linear solvers of SAMG [22].…”

Section: Introductionmentioning

confidence: 99%

A meshfree generalized finite difference method for solution mining processes

et al. 2020

Self Cite

View full text Add to dashboard Cite

Experimental and field investigations for solution mining processes have improved intensely in recent years. Due to today's computing capacities, three-dimensional simulations of potential salt solution caverns can further enhance the understanding of these processes. They serve as a "virtual prototype" of a projected site and support planning in reasonable time. In this contribution, we present a meshfree Generalized Finite Difference Method (GFDM) based on a cloud of numerical points that is able to simulate solution mining processes on microscopic as well as macroscopic scales, which differ significantly in both the spatial and temporal scale. Focusing on anticipated industrial requirements, Lagrangian and Eulerian formulations including an Arbitrary Lagrangian-Eulerian (ALE) approach are considered.

show abstract

Simulation of metal cutting with cutting fluid using the Finite-Pointset-Method

Cited by 15 publications

References 9 publications

Numerical modeling of tissue laser irradiation with uncertain parameters using the interval finite pointset method

Numerical modeling of tissue laser irradiation with uncertain parameters using the interval finite pointset method

Meshfree One-Fluid Modelling of Liquid-Vapor Phase Transitions

A meshfree generalized finite difference method for solution mining processes

Contact Info

Product

Resources

About