Hostname: page-component-848d4c4894-sjtt6 Total loading time: 0 Render date: 2024-06-22T23:27:32.653Z Has data issue: false hasContentIssue false

Noncontact Surface-Hardness Measurement Using Laser-Based Ultrasound

Published online by Cambridge University Press:  29 November 2013

Get access

Extract

A noncontact inspection system that uses lasers to both generate and detect ultrasonic waves has been developed at the Rockwell Science Center for the purpose of nondestructively inspecting metallic and composite structures. The laser-based ultrasound (LBU) system was initially developed to inspect large-area composite airframe structures, including the automated inspection of integrally stiffened and complexly curved composite structures. Furthermore the benefits offered by LBU, such as its noncontacting nature and ability to operate at elevated temperatures, have extended its usefulness to a wide range of applications—for example, in situ process monitoring where the capability to monitor a fabrication process or possibly inspect a part while still in a mold or autoclave could lead to significant cost benefits. Two manufacturing techniques that have shown promise and are presently under investigation are resin-transfer molding and compression molding. Since both of these processes typically occur at elevated temperatures, the noncontacting nature of LBU makes it an ideal candidate for an in situ sensor. More recently, measurement of the case depth in ground vehicle components has been investigated. This article describes current research that uses the LBU technique to determine surface hardness in steel-axle shafts.

Type
Ultrasonic Nondestructive Techniques for Materials Characterization
Copyright
Copyright © Materials Research Society 1996

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.McKie, A.D.W. and Addison, R.C. Jr., Ultrasonics 32 (5) (1994) p. 333.CrossRefGoogle Scholar
2.McKie, A.D.W. and Addison, R.C. Jr., Review of Progress in Quantitative Nondestructive Evaluation 11A, edited by Thompson, D.O. and Chimenti, D.E. (Plenum Press, New York, 1991) p. 577.Google Scholar
3.McKie, A.D.W., Addison, R.C. Jr., and Liao, T-L.T., in NTIAC conference proceeding for “Nondestructive Evaluation Applied to Process Control of Composite Fabrication” (St. Louis, Oct. 4–5, 1994).Google Scholar
4.McKie, A.D.W., Addison, R.C. Jr., Liao, T-L.T., and Ryang, H-S., Nondestructive Characterization of Materials VI, edited by Green, R.E. Jr., Kozaczek, K.J., and Ruud, C.O. (1994) p. 1.Google Scholar
5.Safaeinili, A., McKie, A.D.W., and Addison, R.C. Jr., to appear in Review of Progress in Quantitative Nondestructive Evaluation 16, edited by Thompson, D.O. and Chimenti, D.E. (Plenum Press, New York, 1997).Google Scholar
6.Abbate, A., Schroeder, S.C., Knight, B.E., Yee, F., and Frankel, J., to appear in Review of Progress in Quantitative Nondestructive Evaluation 15A, edited by Thompson, D.O. and Chimenti, D.E. (Plenum Press, New York, 1996) p. 585.CrossRefGoogle Scholar
7.Rosen, M., in Materials Analysis by Ultrasonics, edited by Vary, A. (Noyes Data Corp., 1987) p. 79.Google Scholar
8.Gordon, G. and Tittmann, B.R., Review of Progressin Quantitative Nondestructive Evaluation 15, edited by Thompson, D.O. and Chimenti, D.E. (Plenum Press, New York, 1996) p. 1597.CrossRefGoogle Scholar
9.Stephen, C.H. and Chesney, H.L., Materials Evaluation 42 (1984) p. 1612.Google Scholar
10.Scruby, C.B. and Drain, L.E., Laser Ultrasonics—Techniques and Applications (Adam Hilger, New York, 1990).Google Scholar
11.Vaughan, J.M., The Fabry-Pérot Interferometer: History, Theory, Practice and Applications (Adam Hilger, Philadelphia, 1989).Google Scholar
12.Monchalin, J-P. and Heon, R., Materials Evaluation 44 (1986) p. 1231.Google Scholar
13.Lyman, T., ed., ASM Metals Handbook 2 (8th edition, 1964) p. 93.Google Scholar
14.Papadakis, E.P., J. Appl. Phys. 35 (5) (1964) p. 1474.CrossRefGoogle Scholar
15.McKie, A.D.W., Wagner, J.W., Spicer, J.B., and Deaton, J.B. Jr., Appl. Opt. 30 (28) (1991) p. 4034.CrossRefGoogle Scholar
16.Huang, J. and Achenbach, J.D., J. Acous. Soc. Am. 90 (3) (1964) p. 1269.CrossRefGoogle Scholar
17.Gelb, A., ed., Applied Optimal Estimation (MIT Press, Cambridge, 1988) p. 105.Google Scholar