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The Grinding and Correction of Face Gears Based on an Internal Gear Grinding Machine

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Abstract This paper presents a method of calculating and correcting of grinding face gears on an internal gear grinding machine. The generating principle of face gears is studied, and the feasibility of grinding motion on an internal gear grinding machine is analyzed. Then, the motions that need to be followed for grinding are analyzed based on the internal gear machine tool structure. Four main error sources causing tooth surface deviation in the grinding movements are proposed. The mathematical modeling of the grinding of face gears containing proposed error sources on an internal gear grinding machine is accurately established. The influence of the error sources on the topological deviations of the tooth surface is explored. A sensitivity matrix is established for the influence of various error factors on the tooth surface deviations. The correction values of each error factor are obtained in the case of existing tooth surface deviations. A theoretical correction result with zero-free tooth surface deviation is obtained via a least-square calculation. Finally, a virtual machining experiment on an internal gear grinding machine is conducted, which proves the accuracy of the proposed method for characterizing grinding and realizing corrections.
Title: The Grinding and Correction of Face Gears Based on an Internal Gear Grinding Machine
Description:
Abstract This paper presents a method of calculating and correcting of grinding face gears on an internal gear grinding machine.
The generating principle of face gears is studied, and the feasibility of grinding motion on an internal gear grinding machine is analyzed.
Then, the motions that need to be followed for grinding are analyzed based on the internal gear machine tool structure.
Four main error sources causing tooth surface deviation in the grinding movements are proposed.
The mathematical modeling of the grinding of face gears containing proposed error sources on an internal gear grinding machine is accurately established.
The influence of the error sources on the topological deviations of the tooth surface is explored.
A sensitivity matrix is established for the influence of various error factors on the tooth surface deviations.
The correction values of each error factor are obtained in the case of existing tooth surface deviations.
A theoretical correction result with zero-free tooth surface deviation is obtained via a least-square calculation.
Finally, a virtual machining experiment on an internal gear grinding machine is conducted, which proves the accuracy of the proposed method for characterizing grinding and realizing corrections.

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