Issue << content << Reliability Evaluation of Titanium Alloys Automated Ultrasonic Inspection Using Mathematical Modeling


DOI:

2014. . No. 4(66) - Dec 2014, pp. 15-19

Reliability Evaluation of Titanium Alloys Automated Ultrasonic Inspection Using Mathematical Modeling

D. S. Lozhkova, M. A. Dalin

According to the Report at the 11th European Conference on Non-Destructive testing, Prague, 6-10 October 2014
 
Problems of titanium alloys disks automated ultrasonic testing reliability evaluation were observed. Foreign approaches are described:
– collecting of statistic information about defect detection during serial inspection and metallographic analysis of disks’ zones containing echoes which exceeded the rejection level;
– manufacturing of special billet containing lots of synthetic hard alpha inclusions. This billet is tested using all available types of ultrasonic technique with different sensitivities for detection of echoes which exceeded the recording (rejecting?) level. Further zones with these echoes are examined with metallographic analysis.
Alternative approach using mathematical modelling data of ultrasonic testing processes is designed at FSUE “VIAM”. First it is necessary to manufacture titanium alloy specimens containing synthetic hard alpha inclusions of known size and orientation. Further these specimens are inspected using ultrasonic testing according to estimated manual. Then obtained ultrasonic testing data are supplemented by modelling data. This addition is important to consider defects of different forms and orientations.
To estimate correctness of collecting data, the comparison of real echoes and modelling echoes is brought in this paper. Real echoes were obtained by testing of titanium alloy specimens set using longitudinal and shear waves and by testing of aluminium alloy specimens set using longitudinal waves. Also comparison with CIVA software is shown. The curves “Defect detection probability versus defect’s size” were plotted with the use of the developed mathematical model.
The possibilities of alternative using of the developed mathematical model are shown in conclusion.
 
Keywords: automated ultrasonic testing, hard alpha inclusion, defect detection probability at ultrasonic testing, optimal test parameters, processes mathematical modelling at ultrasonic testing
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