Abstract
As a difficult-to-cut metallic material with excellent characteristics, titanium alloy has been widely used in the field of aero-engines. In this study, a series of grinding experiments of titanium alloy was carried out with the abrasive belt flap wheel. The effects of spindle speed n, feed speed Vw, workpiece curvature radius R2, and radial theoretical grinding depth ae on the material removal depth are investigated. Meanwhile, a noval approach to determine the depth of radial material removal was established based on the Hertz elastic contact theory, Preston equation, and the principle of equivalent material removal volume. The results obtained show that the radial material removal depth increases with the increase of the radial theoretical grinding depth and decreases with the increase of the workpiece curvature radius and the spindle speed, and the feed speed has almost no effect on it. Finally, the measured value is compared with the calculated value, and the absolute error is mostly less than 10%, which verifies the reliability and accuracy of the prediction model.
Highlights
It is well known that blades are important part of aero-engine
The material removal rate model was established based on Hertz elastic contact theory [20,21,22] and Preston equation [23].according to the principle of equivalent material removal volume, a noval approach to determine the depth of radial material removal was proposed
The results indicate that the proposed method can improve the accuracy and consistency for flexible grinding
Summary
It is well known that blades are important part of aero-engine. The surface quality and profile accuracy of blades will directly determine the performance of aero-engine. ZhsAO et al [8] proposed a dual-mode switching composite adaptive strategy based on fuzzy neural network to achieve high-precision control of polishing force, improved blade processing accuracy and surface consistency. The above methods are all based on robots or abrasive belt CNC machine tools, but the robot stiffness is poor and the grinding track error is large, which is not suitable for machining high-precision parts. Ding et al [14] compared the high-speed grinding performance of Inconel 718 with polycrystalline CBN and monocrystalline CBN These studies are based on the rigid grinding wheel. Huai et al [16,17] optimized the abrasive belt flap wheel grinding process parameters and improved the polishing quality and efficiency through the roughness prediction model and blade adaptive flexible polishing path planning method. The results indicate that the proposed method can improve the accuracy and consistency for flexible grinding
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