Thin strip continuous casting billet surface defect sinusoidal grating phase shifting detection device and method

Abstract

The invention relates to a thin strip continuous casting billet surface defect sinusoidal grating phase shifting detection device and method. Sinusoidal grating projection and a spatial phase shifting algorithm are combined, strip steel surface defects are detected by combining defect profile measurement and height measurement, grating image gray scale distribution is directly converted to phase distribution, interference of oxide scales, water films and surface high temperature is effectively restrained, reliable and fast recognizing and positioning of surface defects of moving thin strip continuous casting billets in the high temperature state are achieved, three-dimensional shapes of the casting billet surface defects can be visually displayed, digitized assessment of the surface quality of the moving casting billets is achieved, and detection is stable, accurate and high in reliability. In addition, the thin strip continuous casting billet surface defect sinusoidal grating phase shifting detection device and method have an important meaning for improving the thin strip continuous casting billet surface defect detection automation degree, reducing production cost and improving production efficiency.

Description

technical field [0001] The invention relates to the technical field of detection devices, in particular to a detection device for sinusoidal grating phase shift of surface defects of thin strip continuous casting slab, and the invention also relates to a method for detection of sinusoidal grating phase shift of surface defect of thin strip continuous casting slab. Background technique [0002] In the process of thin strip production, surface defects of high-temperature continuous casting slabs are the main factors affecting the quality of continuous casting machines. Online reliable detection of surface defects of continuous casting slabs can avoid meaningless continuous deep processing of slabs with defects and improve thermal conditions. Lower continuous casting slab hot delivery hot charging and direct rolling rate. [0003] At present, the detection methods of steel mills on the surface defects of thin strip slabs mainly include manual detection methods, image detection ...

AI Technical Summary

Problems solved by technology

The disadvantage of using manual visual inspection is that the accuracy of detection is restricted by manual experience, and the means are backward, low in automation, and high in work intensity; flame cleaning or sampling pickling methods cause high costs, low productivity, and high waste of energy resources due to huge waste of energy resources. Low degree of automation and high work intensity

Due to the interference of non-defective image noise such as scaly iron scale, vibration marks and water film, the image detection method cannot complete the detection of defect depth information and the defect recognition rate is low

The laser scanning imaging method has certain advantages in defect shape and three-dimensional reconstruction of defects, and has strong anti-noise interference, but the amount of reconstructed data is large due to the influence of line scanning speed, and the calibration procedure of the imaging system is complicated

The laser ultrasonic method is not suitable for the detection of defects in a large area, and the ultrasonic signal is weak, the detection sensitivity is low, and the anti-interference ability is poor

So far, there is no stable, accurate and reliable online detection system for thin strip continuous casting slab surface defects at home and abroad, which is applied to the thin strip continuous casting industrial production line

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