Automobile shock absorber piston defect detection method based on electromagnetic tomography technology

Abstract

The invention discloses an automobile shock absorber piston defect detection method based on an electromagnetic tomography technology. An STM32 control chip is in signal connection with a measurementsystem; an upper computer is in signal connection with an acquisition card; and a DDS is in signal connection with an electromagnetic detection sensor through an excitation end circuit. The detectionmethod comprises the steps of (1) detecting an intact device; (2) detecting a device with known defect distribution; (3) training a defect imaging mathematical model, acquiring a defect real distribution image of the device with known defect distribution, and establishing a deep learning network model; (4) detecting a device with unknown defect distribution; (5) reconstructing a defect image, andusing the deep learning network model obtained in the step (3) to obtain a high-precision defect distribution image from the low-resolution defect distribution image by characterizing the mapping relationship. The method can achieve the beneficial effects of reconstructing the internal and surface defect distribution images of a part, achieving the visual measurement of defects, and improving themeasurement precision and measurement speed.

Description

technical field [0001] The invention belongs to the technical field of electromagnetic tomography in electrical detection technology, and in particular relates to a defect detection method for a piston of an automobile shock absorber based on the electromagnetic tomography technology. Background technique [0002] The interior of a car is composed of a variety of metal parts. During the production and use of the car, surface and internal defects of the parts will be caused. If the defects are not detected timely and accurately, the overall performance of the car will be affected, and there may even be potential safety hazards. [0003] At present, some metal part defect measurement schemes are mostly planar metal part detection, or other physical principle defect detection technologies (X-ray, ultrasonic, etc.), lack of detection methods and means for special-shaped parts. [0004] Automotive interior metal parts are typical special-shaped parts, and there is currently a la...

AI Technical Summary

Problems solved by technology

At present, most rely on manual observation of surface defects of parts, and for internal defects, the method of sampling destruction is generally used to detect internal defects, and the detection accuracy is low

Although the current electromagnetic measurement technology has been used in the detection of metal defects, the detection objects are mostly large and regular metal components

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