The application discloses a kind of directional
crystal mould shell automatic detection cleaning
system.In the application, by transient air pressure excitation and multi-scale
wavelet domain digital
speckle correlation detection, the micro crack identification ability is identified from surface opening defect to sub-
surface strain anomaly stage, which significantly improves the detection sensitivity of hidden cracks and wall thickness
thinning defects, and replaces artificial
visual experience determination with full-field strain cloud quantification grading, which significantly reduces the missed
detection rate and the quality risk caused by
human error. Strain-cleanness dual-factor fusion evaluation simultaneously completes the judgment of
structural integrity and
internal cavity cleanliness at the same
station, improving the completeness and
automation of defect evaluation, reducing the drag of batch offline sampling and chemical
permeation operation on production
rhythm, and eliminating the need for fluorescent penetrant immersion and cleaning process with transient pulse excitation method, which improves the single-piece detection
rhythm and reduces the cost of hazardous chemicals procurement, storage and waste liquid treatment.