A large thin-wall stiffened plate shape correction method based on sensitive point multi-point incremental forming

Abstract

The invention relates to a large thin-wall stiffened plate shape correction method based on sensitive point multipoint incremental forming, which comprises the following steps of acquiring the deformation deviation on a measuring point, and iteratively solving the measuring point with the maximum contribution degree to the overall shape correction of a wallboard as a sensitive point through a particle swarm optimization by combining with a deformation coordination equation of the wallboard; then, through shape correction amount simulation calculation, obtaining the shape correction amount required for enabling the wall plate mold attaching degree to meet the requirement; and finally, applying a shape correction amount to the sensitive point, and loading, releasing and rebounding to realizethe shape correction effect. According to the present invention, by selecting a measuring point to measure the deformation deviation of the shape correction wallboard; obtaining a sensitive point with the maximum influence on the shape correction effect based on sensitive point analysis; performing simulation calculation to obtain a shape correction amount of the sensitive point; and based on a multi-point incremental forming method, applying the shape correction amount to the sensitive points, the effect of large-scale wallboard shape correction is achieved.

Description

technical field [0001] The invention relates to a technology in the field of aerospace manufacturing, in particular to a method for correcting the shape of a large thin-walled stiffened plate based on multi-point incremental forming of sensitive points. Background technique [0002] In the field of aerospace, the current methods of correcting the shape of large thin-walled and reinforced panels are mostly on-site manufacturing workers repeatedly knocking on the deformed part with a hammer based on experience, and gradually correct it to the correct position. This method is effective for thin-walled, low-reinforced, weak-rigid, small-batch, and long-processing-cycle panels. However, for heavy-duty rockets with a diameter of 5 m and later super-heavy rockets with larger diameters, due to the thickness and stiffness of the panels, As the number increases, the required correcting force also increases, and this method of hand-beating the corrected shape based on experience will n...

AI Technical Summary

Problems solved by technology

This method is effective for thin-walled, low-reinforced, weak-rigid, small-batch, and long-processing-cycle panels. However, for heavy-duty rockets with a diameter of 5 m and later super-heavy rockets with larger diameters, due to the thickness and stiffness of the panels increase, the required correcting force will also increase, and this method of manual knocking and correcting based on experience will no longer be available

Moreover, with the increase in the frequency of rocket launches in our country, higher requirements have been put forward for the speed of mass production of products. It is difficult to meet the production requirements by hammering the shape correction method.

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