Study on Milling Process Simulation for Monolithic Components Web

Hun Guo; Dun Wen Zuo; Guo Xing Tang

doi:10.4028/www.scientific.net/KEM.426-427.17

Paper Titles

Parameter Optimization of Milling Ti6Al4V Using GA Approach
p.1

Improvement of Deposition Uniformity in Laminated Templates Electro-Deposition
p.5

Effective Dumbbell-Tool in Nanotechnology System from Optical Device of Computer Display
p.9

A Parametric Modeling Method for Thin-Walled Frame Parts
p.13

Study on Milling Process Simulation for Monolithic Components Web
p.17

Simulation on the Melting Rate of the Iced Fixed-Abrasive Polishing Plate
p.21

Parameters Optimization of Laser Processing CVD Diamond Film Based on FEM Simulation
p.26

Boron-Doped Nanocrystalline Diamond Films Deposited By Using DC Arc Plasma Jet CVD
p.30

Intelligent Choice of Characteristic Parameters of Oilstone in Honing of Titanium Alloy Cylinder Based on Artificial Neural Network
p.35

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Study on Milling Process Simulation for Monolithic Components Web

Abstract:

It is very difficult to predict the CNC milling process of monolithic components in aero-industry by either theoretical analysis or experimental research，because of their complicated structure. The machining distortion becomes one of the neck problems in the rapid development and the efficient production of our national defense weapons. The milling process of monolithic components web is simulated by 3D FEM， and the residual stress distribution and the variation tendency of the milling distortion are obtained， comparing the simulation results and the real measurement in the distortion，the proposed model is proved to be effective.