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Abstract

In this article, a 3D coupled Eulerian-Lagrangian (CEL) finite element method (FEM) model is presented for simulation of end milling processes based on Abaqus/Explicit. In the proposed model, the chip formation process does not rely on the degradation of material or continuous remeshing algorithms to achieve chip separation. The processes under investigation are the slot and shoulder milling of Al6061-T6. A linear motion of the workpiece is adopted as a simplification of the trochoidal motion of the end mill. The workpiece is given a sinusoidal profile to achieve a varying uncut chip thickness in the cutting process. With a stationary tool and a confined region of mesh refinement, the computational cost of the model can be minimized, which makes the proposed model compatible for parametric studies. The model demonstrates good accuracy in cutting force predictions. The prediction error of the resultant cutting forces can be controlled within 12% over various milling conditions. The proposed model also gives accurate predictions in terms of the morphology of chips. The excessive curling of chips in the early stages of chip formation can be predicted which has been compared with the shape of the actual chips collected during machining.

Details

Title
3D coupled Eulerian-Lagrangian finite element analysis of end milling
Author
Gao, Yifan 1 ; Ko, Jeong Hoon 2   VIAFID ORCID Logo  ; Lee, Heow Pueh 3 

 Singapore Institute of Manufacturing Technology, Singapore, Republic of Singapore; National University of Singapore, Singapore, Republic of Singapore 
 Singapore Institute of Manufacturing Technology, Singapore, Republic of Singapore 
 National University of Singapore, Singapore, Republic of Singapore 
Pages
849-857
Publication year
2018
Publication date
Sep 2018
Publisher
Springer Nature B.V.
ISSN
02683768
e-ISSN
14333015
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2262155037
Copyright
The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2018). All Rights Reserved.