Inter-sheet dead area optimization process based uniform-spraying manufacturing method for complex curved surface

Abstract

The invention discloses an inter-sheet dead area optimization process based uniform-spraying manufacturing method for a complex curved surface. The inter-sheet dead area optimization process based uniform-spraying manufacturing method comprises the steps as follows: firstly, performing sheet division on an STL model via geometrical and topological characteristics of a workpiece, dividing the curved surface of the original workpiece into a plurality of simple sub-sheets approximate to planes and treating the sub-sheets respectively, then performing optimization solution on key spraying parameters such as the moving speed and the stroke pitch of a spray gun according to a spray forming model of the spray gun and corresponding process production indexes, so as to generate a spraying path inside each sub-sheet, extracting the position relation between edges of every two adjacent sub-sheets and the heading direction of the spray gun, and adopting a segmented sampling method to establish a numerical model for uniform spraying aiming at several common typical dead area conditions, and finally adopting a genetic algorithm to perform optimization solution on spraying paths in dead areas in an unified way. According to the invention, coating and manpower cost are saved, so that improvement on spraying production benefits is facilitated, and favorable application value and economic prospect are achieved.

Description

technical field [0001] The invention relates to the technical field of the advanced manufacturing industry of spraying robots, in particular to a spraying manufacturing method based on an optimization process of an inter-chip blind area for complex workpiece curved surfaces. Background technique [0002] The traditional spraying operation is mainly completed by manual spraying by sprayers holding spray guns. The spraying quality is easily affected by the sprayer's experience and emotions, and it is difficult to maintain stability. At the same time, a large amount of harmful gases that are easy to volatilize in the spraying environment will seriously affect the physical and mental health of the spraying workers. The spraying robot, as an advanced coating equipment developed on the basis of robot technology combined with the spraying process, can not be affected by the spraying environment, and can complete the spraying operations of different workpieces through programming to...

AI Technical Summary

Problems solved by technology

[0003] The early application of spraying robots was mainly carried out in the way of "teaching-reproduction". This method is simple and easy to implement, but it also has some insurmountable shortcomings: 1) The quality of spraying depends heavily on the experience of the spraying workers, and the generated trajectory of the spray gun is difficult to achieve. Combined with workpiece shape, spray gun model and other parameters, it is difficult to obtain the best spraying trajectory; 2) During the teaching process, the spraying robot is in the shutdown stage for a long time, which reduces production efficiency; 3) Manual teaching needs to be carried out Repeated spraying experiments waste a lot of paint and increase production costs, especially when spraying large workpieces; 4) Technicians are always in a toxic environment during the teaching process, which seriously affects their health

[0004] However, there are still some difficulties in the actual application of the current offline trajectory planning method for spraying robots, mainly reflected in the following: the existing offline trajectory planning method is often developed for a specific spraying application, and its application is limited. A universal spraying method that can target complex workpieces with arbitrary curved surface shapes, especially the lack of intelligent treatment methods for certain common spraying blind areas or dead areas such as edges and corners, resulting in poor product quality and residual There are many defective products, which need to spend a lot of manpower and material resources for further refinement, which has become a bottleneck problem restricting the productivity improvement of the spraying robot manufacturing industry

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