Image-based plate forming process parameter safety margin acquisition method

Abstract

The invention relates to an image-based plate forming process parameter safety margin acquisition method, which comprises the following steps of: firstly, acquiring a training image set, extracting a group of forming process parameters from a forming process parameter range space of a preset forming device by each element in the training image set, inputting the forming process parameters into forming simulation software, obtaining a plane view of a preset visual angle of the three-dimensional forming simulation diagram as an element in the training image set, then synthesizing an optimal forming target image, and extracting each element in the training image set and forming characteristic parameters of the optimal forming target image; obtaining a forming mathematical model, inputting the N groups of forming process parameters into the forming mathematical model, and taking the forming characteristic parameter corresponding to the optimal forming target image as a target to obtain N1 groups of forming process parameters meeting a preset limiting condition; and finally, carrying out distribution statistics on each molding process parameter value in the N1 groups of molding process parameters to obtain the safety margin of the molding process parameters.

Description

technical field [0001] The invention relates to the technical field of forming technology, in particular to an image-based method for obtaining a safety margin of a sheet metal forming process parameter. Background technique [0002] Sheet metal forming is widely used in various fields of life, especially in the field of automobiles. More than 70% of auto parts are formed by stamping. Sheet metal forming becomes an increasingly difficult problem as product quality requirements and complexity increase. There are many factors that affect the molding quality, among which the most critical factor is the molding process parameters. Small changes in molding process parameters may cause huge differences in molding quality. Therefore, solving the molding process parameters has always been a major concern in the academic circles. At present, the mainstream parameter inversion method in the world is based on the hybrid numerical method combining experiment and finite element simula...

AI Technical Summary

Problems solved by technology

However, with the increase of parameters, its calculation cost increases exponentially, which leads to a significant increase in product design cycle

There are many uncertainties in actual engineering, so there should be a safe range for the molding parameters, and many inverse methods do not consider the uncertainty problem, and the inverse calculations are all point estimates of parameter values

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