Research On Magnesium Alloy Component Defect Signal Processing Of Ultrasonic Detection Technology

Component of magnesium alloy with high strength, high stiffness, high dimensionalstability, good damping properties, easy machining, environmental advantages, widelyused in aerospace, defence，military, transportation and other areas. Due to the componentsin the production process of magnesium alloy, can easily cause defects such as cracks,pores, affecting the performance of the final product, therefore, requires product testingbefore they are used. Ultrasonic testing technology used in this article, study on signalprocessing technology of magnesium alloy component defect inspection, implementationdefects identification, position, and display.First of all, for interference signal in ultrasonic testing signals, using adaptive filteringmethod for pretreatment. In determining step adaptive filtering based on containingsingle-hole shaped defect, defects in dense cavernous, crack-like echo and echo signaladaptive filtering for defect-free, seen from the filter effect, the signature method inretention defects while effectively removing interfering signals. By analyzing the defectdetection of signals, that echo characteristics of typical defects to achieve automaticrecognition of defects.Secondly, in order to improve the positioning accuracy of defects, pulse characteristicsof deconvolution method extracts the signal, analyse the deconvolution operator andregularization parameter on the effects of extraction, amplitude and delay characteristics ofeffective extraction of defect. Under ultrasonic component in a solid cylinder, hollowcylinder, hollow propagation path of the vertebral body, by using pulse delay calculation ofdefect location in a cross section of the widget. Through comparative analysis, featureextraction using deconvolution methods effectively reduces the defect rate of misjudgment,improve positioning accuracy of defects.Finally, after the deconvolution for b-scan image feature extraction for flaw echo signal,according to the Cartesian coordinates and polar coordinates system, realize reorganizationof component b-scan image of circular cross section, on this basis, consisting of threedimensional data based on coordinates and grayscale values, achieve the Visual display ofthe defect.