Document Type
Dissertation
Major/Program
Mechanical Engineering
First Advisor's Name
Ibrahim Tansel
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Sabri Tosunoglu
Third Advisor's Name
Yiding Cao
Fourth Advisor's Name
Jean Andrian
Keywords
Energy harvesting, Wear monitoring, SHM techniques, Mill tool wear, SuRE approach, Damage monitoring
Date of Defense
6-15-2011
Abstract
Structural Health Monitoring (SHM) systems were developed to evaluate the integrity of a system during operation, and to quickly identify the maintenance problems. They will be used in future aerospace vehicles to improve safety, reduce cost and minimize the maintenance time of a system. Many SHM systems were already developed to evaluate the integrity of plates and used in marine structures. Their implementation in manufacturing processes is still expected. The application of SHM methods for complex geometries and welds are two important challenges in this area of research.
This research work started by studying the characteristics of piezoelectric actuators, and a small energy harvester was designed. The output voltages at different frequencies of vibration were acquired to determine the nonlinear characteristics of the piezoelectric stripe actuators. The frequency response was evaluated experimentally. AA battery size energy harvesting devices were developed by using these actuators. When the round and square cross section devices were excited at 50 Hz frequency, they generated 16 V and 25 V respectively.
The Surface Response to Excitation (SuRE) and Lamb wave methods were used to estimate the condition of parts with complex geometries. Cutting tools and welded plates were considered. Both approaches used piezoelectric elements that were attached to the surfaces of considered parts. The variation of the magnitude of the frequency response was evaluated when the SuRE method was used. The sum of the square of the differences was calculated. The envelope of the received signal was used for the analysis of wave propagation.
Bi-orthogonal wavelet (Binlet) analysis was also used for the evaluation of the data obtained during Lamb wave technique. Both the Lamb wave and SuRE approaches along with the three methods for data analysis worked effectively to detect increasing tool wear. Similarly, they detected defects on the plate, on the weld, and on a separate plate without any sensor as long as it was welded to the test plate.
Identifier
FI11081003
Recommended Citation
Korla, Srikanth, "Inspection of Parts with Complex Geometry and Welds with Structural Health Monitoring Techniques" (2011). FIU Electronic Theses and Dissertations. 460.
https://digitalcommons.fiu.edu/etd/460
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