Numerical Methods for the Modelling of Chip Formation

Rodríguez, Juan Manuel Corchado; Carbonell, Josep Maria; Jonsén, Pär

doi:10.1007/s11831-018-09313-9

Cited by 39 publications

(33 citation statements)

References 101 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Drawing on the advantages of pure Lagrangian and pure Eulerian descriptions, the ALE method was used to model granular material flow in [13,14,78]. Advantages and disadvantages of using the FEM for the numerical simulation of forming processes involving large strains are discussed thoroughly in Rodríguez et al [68].…”

Section: Introductionmentioning

confidence: 99%

The particle finite element method for transient granular material flow: modelling and validation

et al. 2020

View full text Add to dashboard Cite

The prediction of transient granular material flow is of fundamental industrial importance. The potential of using numerical methods in system design for increasing the operating efficiency of industrial processes involving granular material flow is huge. In the present study, a numerical tool for modelling dense transient granular material flow is presented and validated against experiments. The granular materials are modelled as continuous materials using two different constitutive models. The choice of constitutive models is made with the aim to predict the mechanical behaviour of a granular material during the transition from stationary to flowing and back to stationary state. The particle finite element method (PFEM) is employed as a numerical tool to simulate the transient granular material flow. Use of the PFEM enables a robust treatment of large deformations and free surfaces. The fundamental problem of collapsing rectangular columns of granular material is studied experimentally employing a novel approach for in-plane velocity measurements by digital image correlation. The proposed numerical model is used to simulate the experimentally studied column collapses. The model prediction of the in-plane velocity field during the collapse agrees well with experiments.

show abstract

Section: Introductionmentioning

confidence: 99%

The particle finite element method for transient granular material flow: modelling and validation

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The finite element method (FEM) is the standard tool to simulate machining processes either in its Lagrangian, Eulerian or Arbitrary Lagrangian Eulerian (ALE) formulation [4][5][6][7][8][9][10][11][12]. As large deformations are present in the metal cutting process, when a Lagrangian mesh is excessively distorted it does not allow the continuation of the simulation.…”

Section: Introductionmentioning

confidence: 99%

“…Most of these new methods are applied using similar simplified models. For instance, they usually consider the tool as rigid with no heat transfer between the tool and the piece [6]. This represents a poor approach if one wants to model realistic chips.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dislocation Density Based Flow Stress Model Applied to the PFEM Simulation of Orthogonal Cutting Processes of Ti-6Al-4V

et al. 2020

View full text Add to dashboard Cite

Machining of metals is an essential operation in the manufacturing industry. Chip formation in metal cutting is associated with large plastic strains, large deformations, high strain rates and high temperatures, mainly located in the primary and in the secondary shear zones. During the last decades, there has been significant progress in numerical methods and constitutive modeling for machining operations. In this work, the Particle Finite Element Method (PFEM) together with a dislocation density (DD) constitutive model are introduced to simulate the machining of Ti-6Al-4V. The work includes a study of two constitutive models for the titanium material, the physically based plasticity DD model and the phenomenology based Johnson–Cook model. Both constitutive models were implemented into an in-house PFEM software and setup to simulate deformation behaviour of titanium Ti6Al4V during an orthogonal cutting process. Validation show that numerical and experimental results are in agreement for different cutting speeds and feeds. The dislocation density model, although it needs more thorough calibration, shows an excellent match with the results. This paper shows that the combination of PFEM together with a dislocation density constitutive model is an excellent candidate for future numerical simulations of mechanical cutting.

show abstract

“…For the understanding of chip morphology and its effect on tool wear, a number of featured models in FEA have been tried, namely Lagrangian formulation: includes nodes formation criterion to predict chip separation, lagrangian description of motion and adaptive remeshing: applied to simulate orthogonal cutting , Finite Element Eulerian formulations: to simulate continuous chip formation at steady state, Finite Element Arbitrary Lagrangian-Eulerian (ALE) the formulation in conjunction with adaptive mesh techniques etc. and successfully implemented [5]. Among the various featured mathematical models, the ALE model was found to have promising features due to combining features of both the pure Lagrangian analysis and Eulerian analysis.…”

Section: Introductionmentioning

confidence: 99%

Mechanics of Grains Size and Orientation on the Machining of AISI S-7 Steel Grade Using Numerical Technique

Mohanta,

Abhinav,

Mohanty

2019

IJEAT

View full text Add to dashboard Cite

Two-dimensional models namely homogeneous, uniformly distributed grains and non-uniformly distributed grains were developed for AISI S-7 steel grade metal, to investigate the effect of the grains size and orientation on the chip morphology and temperature rise during the orthogonal machining process. A Johnson-Cook model was used for the simulation study. The machining was done at a medium speed of 60 ms-1 and the depth of cut was maintained at 5 mm in all the above cases. Compared to other models, results showed that nonuniformly distributed grains develop alternate low and high shear bands and generate maximum temperature in the high shear band zone, which was found to be detrimental during the machining process compared to other models. Intergranular chip segmentation was observed in the case of uniformly distributed grains. For the same material, three different chip morphologies and temperature profiles were observed during the orthogonal machining process. Detailed discussion on the mechanics of machining of the above-said models was done that may be advantageous for material and tool design scientist.

show abstract

Numerical Methods for the Modelling of Chip Formation

Cited by 39 publications

References 101 publications

The particle finite element method for transient granular material flow: modelling and validation

The particle finite element method for transient granular material flow: modelling and validation

Dislocation Density Based Flow Stress Model Applied to the PFEM Simulation of Orthogonal Cutting Processes of Ti-6Al-4V

Mechanics of Grains Size and Orientation on the Machining of AISI S-7 Steel Grade Using Numerical Technique

Contact Info

Product

Resources

About