FEM Prediction of Chip Morphology during the Machining of Particulates Reinforced Al Matrix Composites

H. Guo; Dong Wang; Li Zhou

doi:10.4028/www.scientific.net/AMR.188.220

Paper Titles

Experimental Study on the Surface Roughness with Mill-Grinding SiC Particle Reinforced Aluminum Matrix Composites
p.203

A Steel Plate Correction Method of NC Flame Cutting Based on Edge Detection
p.208

Research on Compound Servo Drive Control of Heavy Loading Feed Table
p.212

Study on Residual Stress for High-Speed Cutting Titanium Alloy Based on Finite Element Method
p.216

FEM Prediction of Chip Morphology during the Machining of Particulates Reinforced Al Matrix Composites
p.220

Research on Dynamic Constitutive Relation of Materials Taking Account of Damage Evolution and Fracture Law for High Speed Cutting
p.224

Analytical Method for Softness Abrasive Flow Field Based on Low Reynolds K-ε Model
p.230

Software System Development of Measurement and Control System for a Nonlinear Absorber by Virtual Instrument
p.236

Control Algorithm Study for some Optical Tracking Measurement System with Low Mechanical Resonance Frequency
p.241

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FEM Prediction of Chip Morphology during the Machining of Particulates Reinforced Al Matrix Composites

Abstract:

Chip morphology and segmentation play a predominant role in determining the machinability and tool wear during the machining of SiC particulates reinforced Al matrix composites. In this paper, a 2D coupled thermo-mechanical finite element model was used for simulating the segmented chip formation at different cutting conditions. The generation of segmentation is achieved by element erase and the shear failure, as well as the continuous adaptive remeshing technical. The results show that the chip is often discontinuous at lower cutting speeds, and with the increasing of the cutting speed, the chip becomes serrated. Fundamental observations from the simulations are concluded and a guideline for further research is proposed.