Abstract

The paper shows the concept of Laser Spot Thermography test rig with real time data processing. Laser Spot Thermography is a promising method for non-destructive testing applications especially, when fully non-contact procedure is required. Unfortunately, the procedure as of now is hard to apply, due to technical difficulties related with data processing. Laser thermography test procedure involves recording of multiple sequences (even hundreds), which have to be processed and evaluated as a whole. The industry requires quick and precise results, which is hard to achieve with the amount of output data from the currently known test procedure. The paper gives a proposal for improving the laser thermography test procedure through data parameterization (curve fitting) for infrared sequences. The data parameterization allows for reduction of output data size, in particular temporary data storage in RAM. The reduction of data size leads to faster real time processing.

Highlights

  • The paper shows the concept of Laser Spot Thermography test rig with real time data processing

  • LASER THERMOGRAPHY – STATE OF THE ART Thermography is a technique that allows for non-contact temperature imaging

  • Active thermography requires external energy delivered into the tested object [9-11]

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Summary

PROBLEM DEFINITION

The literature [19 - 27] presents many case studies proving laser thermography effectiveness. Presented method seems to resolve aforementioned problems and allows well-trained technician for easy and reliable assessment of laser thermography scans. This approach induces several another issues related with technical requirements for the test rig. The real-world scenario measurement procedure would require about 100 singular measurements for a scan This would bring about 14 GB raw data, which has to be processed in real time considering time demand applications. This requirement is unlikely to fulfill in test case of a PC based test rig. There is a strong need for developing alternative methods for data processing

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