Digital ray automatic detecting system and method for detecting wheel parts

Abstract

The invention relates to a digital ray automatic detecting system and method for detecting wheel parts. The system comprises a PLC console, a CR imaging device, two industrial robots, an X-ray machine, a quick-change gripper frame, a quick-change gripper, a storage cabinet, a conveying device, a rotating worktable, a door groove cover plate, a small-sized cantilever crane and an automatic lead door; the PLC console and the CR imaging device are arranged outside a protective lead room; the two industrial robots, the X-ray machine, the quick-change gripper frame, the quick-change gripper, the storage cabinet, the conveying device, a rotating worktable, the door groove cover plate, the small-sized cantilever crane and the automatic lead door are arranged in the protective lead room. The X-raymachine is installed at the tail end of the large robot, and the PLC console controls the two industrial robots and the rotating worktable through Profinet buses, controls the X-ray machine through an RS-232 serial port and controls the quick-change gripper, the conveying device, the storage cabinet, the automatic lead door and the door groove cover plate through IO modules. The digital ray automatic detecting system and method have the advantages that 1, the detection efficiency is improved, and the time for manual placement and opening and closing of the lead door is saved; 2, the detectionaccuracy is improved; 3, the detection cost is reduced.

Description

technical field [0001] The invention relates to a nondestructive testing system, in particular to a digital ray automatic testing system and a testing method for testing wheel parts. Background technique [0002] In order to ensure the safe use of the product, it is essential to conduct qualitative, quantitative, and positioning detection of defects in the product. At present, the defect detection of wheel parts such as aero-engine casings, hubs, etc. is mainly done manually. Workers in the lead room In the interior, the parts are manually placed to the detection position, the film is placed on the detection part, and the lead door is closed after exiting the lead room to start the ray. After the shooting is completed, the lead door is opened to take out the film and then shoot the next part. This kind of manual detection The method has the following problems: 1. The detection efficiency is low. Every time a position is detected, the worker needs to enter and exit the lead r...

AI Technical Summary

Problems solved by technology

[0002] In order to ensure the safe use of the product, it is essential to conduct qualitative, quantitative, and positioning detection of defects in the product. At present, the defect detection of wheel parts such as aero-engine casings, hubs, etc. is mainly done manually. Workers in the lead room In the interior, the parts are manually placed to the detection position, the film is placed on the detection part, and the lead door is closed after exiting the lead room to start the ray. After the shooting is completed, the lead door is opened to take out the film and then shoot the next part. This kind of manual detection The method has the following problems: 1. The detection efficiency is low. Every time a position is detected, the worker needs to enter and exit the lead room to open and close the lead door, and needs to find the placement posture of parts and films, which increases a large amount of non-detection time and greatly reduces detection efficiency

2. The detection accuracy is low and the consistency is poor. There are many detection parts of the wheel parts such as the casing. It is impossible to ensure that the parts and films are placed the same every time by manually placing them. Inconvenience to reviewers

3. The cost of inspection is high. Since the traditional inspection is in the form of film, the film is expensive and cannot be used again after exposure once. The cost of film accounts for a large part of the inspection cost.

[0003] With the advent of Made in China 2025, the country vigorously advocates the development of robots and intelligent manufacturing to improve the level of industrial automation. Traditional detection methods can no longer meet the detection needs of the aerospace industry. Therefore, it is necessary to seek a new digital ray automatic detection. system

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