Abstract
This paper investigates the influence of the workpiece pose errors on gear skiving accuracy. First, based on the theory of homogeneous coordinate transformation, the mapping relationship between the tooth flank of the workpiece and the skiving tool is established according to the principle of gear skiving. Second, the workpiece pose errors are defined, and the relationship between each workpiece pose error and cutting depth is analyzed. According to the kinematic chain of the machine tool, a method for measuring the workpiece pose errors based on the actual inverse kinematic model is proposed. Third, the tooth deviations caused by individual workpiece pose errors and the coupling workpiece pose errors are studied. Then, the sensitive errors are obtained by numerical simulation. Finally, the numerical analysis is verified by gear skiving experiments, and the proposed method can be used to identify the possible workpiece pose errors. Furthermore, the particle swarm optimization algorithm is introduced to guide the workpiece setting pose errors in the gear skiving process.
Highlights
Gear skiving is a modern and productive method for machining internal and external cylindrical gears
A method for measuring the workpiece pose errors based on actual inverse kinematics is proposed
To measure the workpiece pose errors quickly, a method for measuring the defined workpiece pose errors gx, gy, zy, xz based on actual inverse kinematics is proposed in this paper
Summary
Gear skiving is a modern and productive method for machining internal and external cylindrical gears. Li and Chen et al [11,12] researched the basic principle of the skiving technology and proposed a design method of error-free spur skiving tool for internal helical gear. Guo et al [18] combined the characteristics of skiving strategies in [16,17] and proposed a multiple-step feed machining technology to effectively reduce the cutting force, improve the tool life and the cutting performance. Skiving technologies have developed rapidly in recent years, the research on the influence of geometric errors on the accuracy of gear skiving is sparse. There is no detailed study on the influence of workpiece pose errors caused by setting, cutting force, and heat, on the gear skiving accuracy. The PSO algorithm is used to predict the maximum workpiece setting pose errors in the gear skiving process
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