A method for detecting the quality information of forgings in a die forging intelligent manufacturing production line

Abstract

The invention discloses a method for detecting quality information of forgings in a die forging intelligent manufacturing production line, which mainly includes: detecting defect information in each forming stage and detecting shape and dimension information in final forging and trimming stages. The detection steps of forging defect information are as follows: online image data collection by industrial cameras; image information is read, and the image is converted into a single-channel grayscale image; convolutional neural network intelligent algorithm is used to detect and classify defect quality information; the detection and classification results are stored in the database , end; the shape information detection steps are as follows: use a 3D scanner to scan the multi-angle data of the forging; The invention can quickly, accurately and real-time eliminate unqualified products, improve the rate of good products, and achieve the purpose of intelligent production and intelligent quality control.

Description

technical field [0001] The invention belongs to the technical field of intelligent manufacturing and intelligent detection, and in particular relates to a multi-stage intelligent online quality information detection method. Background technique [0002] Forgings are widely used in aerospace, aviation, ships, automobiles and other fields. While improving the production efficiency of forgings, the quality is also required to be better and better. However, due to the influence of personnel, environment, equipment, technology, and original blanks, forgings are prone to folding, Defects such as cracks and dimensional accuracy problems seriously affect the performance and quality of the final product. The traditional quality inspection method mainly realizes online inspection manually, the inspection efficiency is low, the cost is high, the inspection accuracy cannot be guaranteed and misjudgment is prone to occur, and it has a strong dependence on the experience of workers. It is...

AI Technical Summary

Problems solved by technology

First, the high-temperature image processing method is used to extract the main features, and the recognition speed of the subsequent intelligent algorithm is improved; finally, the high-temperature image processing method is combined with the intelligent recognition algorithm to propose a forging quality information detection technology for the intelligent manufacturing production line of die forging, which overcomes the multiple Difficulties in on-line accurate detection of multiple defects and sizes in one stage, solve the problems of low accuracy and efficiency of existing production inspections, and insufficient quality control of multi-stage production

Images