Cutter shaft vector optimization method based on covariant field functionals

Abstract

The invention belongs to the field of milling processing, and discloses a cutter shaft vector optimization method based on covariant field functionals. The method comprises the following steps of (a), determining a processing requirement which should be satisfied by to-be-optimized cutter shaft vectors in actual processing, and converting a machining requirement to an objective covariant field functional and a restrained covariant field functional; (b), performing weighting summation on the covariant field functional, thereby obtaining an optimization model for the to-be-optimized cutter shaft vectors; and (c), discreting the model and performing solving for obtaining the optimized cutter shaft vector. The cutter shaft vector optimization method has advantages of ensuring smoothness of the cutter shaft vector and a processing track, preventing excessive cutting or collision of a cutter and a workpiece, and realizing suitability for workpiece curved surfaces with different parameters. Furthermore the cutter shaft vector optimization method has advantages of high processing precision and high surface quality of the processed workpiece.

Description

technical field [0001] The invention belongs to the field of milling processing, and more specifically relates to a tool axis vector optimization method based on a covariant field functional. Background technique [0002] In five-axis CNC machining, drastic changes in the tool axis vector will cause overcut and collision between the tool and the workpiece surface, resulting in sawtooth shapes in the tool trajectory and vibration during actual machining, which will affect the machining accuracy and surface quality. Therefore, the rate of change of the tool axis vector must be limited, while consideration should be given to avoiding tool collisions and overcuts. [0003] Domestic and foreign industrial and academic circles have done a lot of theoretical research and application research on the tool axis vector optimization of five-axis CNC machining. In the industry, there are currently two general-purpose computer-aided manufacturing (CAM) software with the highest market sh...

AI Technical Summary

Problems solved by technology

[0005] In view of the above defects or improvement needs of the prior art, the present invention provides a tool axis vector optimization method based on covariant field functional, by determining the processing requirements of the vector to be optimized and establishing the corresponding covariant field functional, by This solves technical problems such as overcut or collision between the tool and the workpiece, smoothness of the tool axis vector trajectory, etc.

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