Three-dimensional cycloid-like intelligent polishing method guided by Hilbert curve

Abstract

The invention discloses a three-dimensional cycloid-like intelligent polishing method guided by a Hilbert curve. The three-dimensional cycloid-like intelligent polishing method comprises the followingsteps: establishing a space mapping relationship between a three-dimensional curved surface and a two-dimensional plane of a workpiece; generating a standard Hilbert curve in the two-dimensional parameter domain, and performing deformation to obtain an improved Hilbert curve; taking the improved Hilbert curve as a guide line, and generating a cycloid track with adjustable step pitch and radius; fitting a polishing processing material removal calculation model by utilizing an artificial neural network, and predicting an average value and a mean square error of the material removal depth of each vertex of the three-dimensional grid curved surface; constraining the value range of each parameter of the polishing track; taking an average value and a mean square error of the material removal depth as optimization targets, and determining an optimal value combination of adjustable parameters in the cycloid trajectory by utilizing an intelligent optimization algorithm; projecting the cycloidtrajectory determined by the parameters to a two-dimensional plane, and reordering the disconnected trajectories on the boundary to form a complete cycloid trajectory; and inversely mapping the cycloid trajectory on the two-dimensional plane to the three-dimensional curved surface to obtain a final actually processed three-dimensional cycloid-like trajectory.

Description

technical field [0001] The invention relates to the field of machining, in particular to a three-dimensional cycloid-like intelligent polishing method guided by a Hilbert curve. Background technique [0002] The surface quality of key components in various types of equipment is a crucial factor to ensure product quality and improve product performance. Polishing is an important processing technology in the process of obtaining the surface quality of these key components. However, the traditional polishing process is mostly manual processing, which is heavily dependent on the technical level of the laborers. The polishing quality is not stable, and there are defects of low processing efficiency, which contradicts the mode of modern large-scale automated batch production. [0003] At present, there are obvious processing traces on the surface of the polished workpiece and uneven track coverage in the automatic surface polishing track, which affects the surface quality of the w...

AI Technical Summary

Problems solved by technology

However, the traditional polishing process is mostly manual processing, heavily dependent on the technical level of the laborers, the polishing quality is unstable, and there are defects of low processing efficiency, which contradicts the mode of modern large-scale automated batch production

[0003] At present, there are obvious processing marks on the surface of the polished workpiece and uneven track coverage in the automatic surface polishing track, which affects the surface quality of the workpiece.

The trajectories traditionally used in mechanical polishing are mostly simple scanning trajectories, single fractal trajectories, or cycloidal trajectories based on scanning lines. Although these trajectories can reduce the surface roughness of the workpiece during polishing, they cannot simultaneously remove materials uniformly and A good balance effect is achieved between multi-directionality, and it is impossible to truly simulate the manual polishing process trajectory on the entire processing area

[0004] In addition, in the current research, simply combining several trajectories will generate more additional parameters, and the relationship between the parameters is complicated and interrelated, and it is impossible to directly achieve a satisfactory effect through manual adjustment.

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