Simulation of the orthogonal metal cutting process using an arbitrary Lagrangian–Eulerian finite-element method

The introduction and application of common finite element method (FEM) about the modern metal cutting theory research was stated emphatically. Graded self-lubricating ceramic tool materials was briefly introduced, and problems existed about simulating the metal cutting process using FEM are pointed out and discussed in this study.

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Analysis of the Influence of Cutting Parameters on Cutting Force Based on Cutting Process Simulation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.710.223 ◽

2013 ◽

Vol 710 ◽

pp. 223-227

Author(s):

Yan Cao ◽

Hua Chen ◽

Hai Xia Zhao

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Cutting Force ◽

Process Simulation ◽

Metal Cutting ◽

Cutting Parameters ◽

Cutting Process ◽

Rigid Plastic ◽

Simulation Parameters ◽

Element Method

Based on the study on metal cutting theories and rigid-plastic finite element method, taking Sweden SECO lathe tool MDT as the researching object, the cutting force in cutting process is analyzed after a cutting process simulation model is constructed using finite element method. Different simulation parameters and cutting parameters are used to carry out analyses time after time. The dynamic changing curves of the cutting force in cutting process are obtained. Through the comparison of the cutting force in different cutting conditions, the influence of cutting parameters on the cutting force is summarized. The research can provide useful data for improvement of metal cutting technology and tool cutting performance.

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Heat partition effect on cutting tool morphology in orthogonal metal cutting using finite element method

Mechanika ◽

10.5755/j01.mech.25.4.22745 ◽

2019 ◽

Vol 25 (4) ◽

pp. 326-334

Author(s):

Kamuran Kamil YEŞİLKAYA ◽

Kemal YAMAN

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Temperature Distribution ◽

Metal Cutting ◽

Cutting Tool ◽

Thermal Analyses ◽

Cutting Process ◽

Heat Partition ◽

Coated Tools ◽

Element Method

It is widely accepted that heat partition and temperature distribution for metal cutting process have a significant effect on the morphological features of the cutting tool. Tool life and cutting accuracy are considerably affected by temperature distribution and heat transfer mechanisms on the tool. When a finite elements model is accurately generated, an understanding of heat partition into the cutting tool without performing experiments can be gained. This study has been completed with the use of uncoated and coated tools in order to predetermine heat partition value entering the cutting tool. In terms of coated tools, tool coating was investigated to assess its effects on heat partition. Finite Element Method was mainly used in combination with the previously generated experimental data in literature. Three-dimensional uncoated and coated models were created and made compatible with finite element modeling software to be able to perform thermal analyses of the cutting process. Finite element transient and steady-state temperature values were calculated and hence the heat intensity value for the cutting tool was determined.

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The Analysis and Simulation for Improved Cutting Process Based on Finite Element Method (FEM) Analysis

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.4343 ◽

2014 ◽

Vol 556-562 ◽

pp. 4343-4346

Author(s):

Kai Wang ◽

Wan Chen Sun ◽

Feng Ming Nie ◽

Qing Tang Wu

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Metal Cutting ◽

Fem Analysis ◽

Cutting Process ◽

3D Finite Element ◽

Finite Element Software ◽

Modeling Procedure ◽

Deform 3D ◽

Element Method

The paper proposed the practical metal cutting process using FEM to simulate the traditional cutting process, the simulation and the analysis of the results are based on the support of DEFORM-3D finite element software, and the characteristic between Galerkin Algorithm and FEM analysis is also analyzed. Then the paper processed the modeling procedure for FEM using Lagrange and Euler algorithm, the simulation result is then compared to traditional ones and proved to be more efficient and with higher accuracy.

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