Research on the Method of Error Prediction in Milling Thin-Walled Impeller Blade

Zhi Gang Liu; Hou Jun Qi; Yu Jun Cai

doi:10.4028/www.scientific.net/MSF.723.124

Paper Titles

Experimental Study of Serrated Chip in High Speed Cutting
p.99

Research on Chemical Transformation of Diamond with Fe Catalysis Based on Thermal Analysis
p.105

CFD Analysis on the Flow Field of Minimum Quantity Lubrication during External Thread Turning
p.113

A 3D Cohesive Element Model for Fracture Behavior Analysis of Ceramic Tool Materials Microstructure
p.119

Research on the Method of Error Prediction in Milling Thin-Walled Impeller Blade
p.124

Rapid Toolpath Correction for Five-Axis High Efficiency Machining Based on Image Analysis
p.130

Determination of Constitutive Equation Parameters for Face Milling 3-D Simulation via Pressure Bar and Orthogonal Cutting Tests
p.136

Turbine Blade Distortion Analysis during Spiral NC Milling Based on FEM
p.143

Predicting Range of Chip Breaking of 3D Complex Groove Turning Inserts with Neural Networks
p.148

HomeMaterials Science ForumMaterials Science Forum Vol. 723Research on the Method of Error Prediction in...

Research on the Method of Error Prediction in Milling Thin-Walled Impeller Blade

Abstract:

The thin-walled blade of aero engine has low stiffness, during machining, it easily generates deflection due to the milling force, but because high accuracy of such component is required, the prediction of the deflection exactly becomes extremely important. Therefore, this paper analyzes the milling process, and simplifies it reasonably. The deformation of the blade is predicted based on ABAQUS using FEM, and then the machining deflection curves of the blade is got. The result is analyzed soon afterwards, and deflection law is summarized. Finally, an experiment has been designed. The reliability of the method of predicting deflection is proved by comparing the measurement results and the simulation ones.