Application of laser ultrasonic non-destructive evaluation technique to additive manufacturing

Anthony J. Manzo; Shant Kenderian; Henry Helvajian

doi:10.1117/12.2219866

6 April 2016 Application of laser ultrasonic non-destructive evaluation technique to additive manufacturing

Anthony J. Manzo, Shant Kenderian, Henry Helvajian

Author Affiliations +

Proceedings Volume 9738, Laser 3D Manufacturing III; 973810 (2016) https://doi.org/10.1117/12.2219866
Event: SPIE LASE, 2016, San Francisco, California, United States

Abstract

The change in properties of a propagating ultrasonic wave has been a mainstay characterization tool of the nondestructive evaluation (NDE) industry for identifying subsurface defects (e.g. damage). A variant of this concept could be applicable to 3D additive manufacturing where the existence of defects (e.g. pores) within a sub-layer could mark a product as non-qualifying. We have been exploring the utility of pulsed laser ultrasonic excitation coupled with CW laser heterodyne detection as an all optical scheme for characterizing sub surface layer properties. The all-optical approach permits a straight forward integration into a laser additive processing tool. To test the concept, we have developed an experimental system that generates pulsed ultrasonic waves (the probe) with high bandwidth (<<10MHz) and a surface displacement sensor that can capture the ultrasonic "return" signal with bandwidth close to 300 MHz. The use of high frequencies enables the detection of smaller defect sites. The technique is time resolved with the sensor and probe as point (>>30-200 microns) beams. Current tests include characterizing properties of spot weld joints between two thin stainless steel plates. The long term objective is to transition the technique into a laser additive manufacturing tool.

Citation Download Citation

Anthony J. Manzo, Shant Kenderian, and Henry Helvajian "Application of laser ultrasonic non-destructive evaluation technique to additive manufacturing", Proc. SPIE 9738, Laser 3D Manufacturing III, 973810 (6 April 2016); https://doi.org/10.1117/12.2219866

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