- Ultrasonics and Acoustic Wave Propagation
- Non-Destructive Testing Techniques
- Advanced Battery Technologies Research
- Advanced Fiber Optic Sensors
- Structural Health Monitoring Techniques
- Additive Manufacturing Materials and Processes
- Advanced Battery Materials and Technologies
- Advanced X-ray and CT Imaging
- Welding Techniques and Residual Stresses
- Advancements in Battery Materials
- Acoustic Wave Resonator Technologies
- Additive Manufacturing and 3D Printing Technologies
- Seismic Waves and Analysis
- Seismic Imaging and Inversion Techniques
- Titanium Alloys Microstructure and Properties
- Photonic and Optical Devices
- Electrostatics and Colloid Interactions
- Recycling and Waste Management Techniques
- Probabilistic and Robust Engineering Design
- Numerical methods in engineering
- Geophysical Methods and Applications
- Thermography and Photoacoustic Techniques
Langley Research Center
2019-2024
University of South Carolina
2014-2015
This paper presents a novel method for the detection of ultrasonic waves from acoustic emission events using piezoelectric wafer ac3tive sensors (PWAS) and optical fiber Bragg grating (FBG) sensing combined with mechanical resonance amplification principles. The is best suited detecting out-of-plane motion AE wave preference certain frequency that can be adjusted by design. Several issues are discussed: (a) study mode shapes under different frequencies in order to understand behavior ring...
Lithium metal anodes are prone to non-uniform lithium plating that can lead dendrite formation, internal short circuits, and catastrophic ignition. This type of structural defect is not captured by battery management systems, prompting the need advance nondestructive evaluation (NDE) techniques suitable for periodic monitoring structure. An ultrasonic inspection technique evaluated here as a means identifying flaws irregular be precursor formation and, ultimately, failure.Lithium pouch cell...
Lithium metal batteries are prone to subtle defects such as internal dendrites, which can cause short circuits and lead catastrophic ignition. These often undetectable by battery management systems, prompting the need advance development of nondestructive evaluation (NDE) techniques for applications. Ultrasonic inspection being evaluated a means identifying flaws irregular lithium plating that be precursor dendrite formation and, ultimately, failure. Two ultrasonic approaches were compared...
A resonant piezo-optical ring sensor with both piezoelectric and fiber Bragg grating (FBG) sensing elements was assessed for ultrasonic wave detection. The is an existing device that has been shown experimentally to exhibit a number of features: omnidirectionality, mode selectivity, frequency tunability. present study uses finite element modeling understand these features as means characterize optimize the sensor. combined vibration-wave propagation approach used, where vibrational provided...
The optimization of ultrasonic nondestructive evaluation (NDE) simulation tools for composites has the potential to reduce both individual part inspection time and overall certification composite parts structures. Inspection guidance based on provides increased confidence in veracity results addition reductions. This paper outlines ongoing work targeted advance this objective through use finite difference (FD) techniques formulated structures with realistic geometries. Two staggered grid...
This paper presents the application and validation of optical equipment suitable for high frequency guided wave acoustic emission detection with fiber Bragg grating (FBG) sensors. Guided (AE) measurements were compared between piezoelectric wafer active sensors (PWAS) embedded onto isotropic plates beams an emphasis on testing FBG ultrasonic propagation characteristics. The use acousto-ultrasonic ring sensor to eliminate directional dependence is also discussed. Since only detect strain...
Nondestructive characterization of battery structures is important as both a research tool and means for developing reliable prognostics batteries in service. Local Ultrasonic Resonance Spectroscopy (LURS) technique that measures spatially localized through-thickness vibrational resonances layered materials. In cells, LURS measurements can reveal layer spacing changes mechanical properties. This study examines structure occur from fabrication to end life cycled under different conditions...
Post processing X-ray computational tomography (CT) inspection data for additively manufactured (AM) components can induce deviations in defect quantification, affecting subsequent fatigue and failure predictions. To assess the influence potential impact of segmentation-induced measurement deviations, this paper applies several segmentation techniques to CT powder bed fusion Ti-6Al-4V specimens exhibiting porosity conditions. reconstructions were segmented with varying including Otsu's...
Flash thermal diffusivity measurements were obtained on additively manufactured Ti-6Al-4V disk shaped specimens with various process parameters. For metal parts, processing parameters such as laser power and scanning speed are critical to ensure the desired microstructure. this study, powder bed fusion changed at angular sections a 21 mm diameter 3.0 thick disk. The measurement of was performed by fitting 1-dimensional model data pixel produce an inspection image. image revealed detection...
A mechanical resonant piezo-optical ring sensor was studied, designed to selectively enhance the response of piezoelectric wafer active sensors (PWAS) and fiber Bragg grating (FBG) sensors. The frequency characteristics were modeled through modal harmonic analyses. models used guide experimentation, serving as a basis for comparison implementation. Pitch-catch, resonance, acoustic emission (AE) experiments performed compare performance plate-mounted PWAS FBG. Factors relating optimal...
This paper presents theoretical predictive modeling and experimental evaluation of the structural health monitoring capability piezoelectric wafer active sensors (PWAS) at elevated temperatures. Electromechanical impedance spectroscopy (EMIS) method is first qualified using circular PWAS resonators under traction-free boundary condition in an ambience with increasing temperature. The study conducted regarding temperature dependence electrical parameters, capacitance C<sub>0</sub>,...
Physics-based nondestructive evaluation (NDE) models provide a means to improve inspection setup and interpretation for more accurate assessments of the health state structure. The complex structure be inspected is, simulation must be, often outpacing readily available compute data analysis resources. High performance computing (HPC) can requisite resources, but leveraging HPC requires specialized code. To this end, Computational Nondestructive Evaluation (CNDE) Group at NASA Langley...
PanNDE is a C++ software package for simulating field physics encountered in nondestructive evaluation (NDE), with application across range of engineering and scientific domains. A modular architecture enables flexible configuration key components NDE simulation covering 3D visualization compatibility, data import export, distributed memory parallelism, solver composition. The current delivers an implementation high-performance computing (HPC) elastodynamics. extant modules provide basis...
Registration techniques play a central role in applications of image processing to computer vision, medical imaging, and automatic target tracking. Feature-based such as scale-invariant feature transform (SIFT) speeded up robust features (SURF) are commonly used register images derived from single modality. However, SIFT SURF struggle different modalities because the tend manifest rather differently at sometimes very length-scales. The most successful methods that have been developed...
Advancements in computer hardware has led to new possibilities for rapid modeling and simulation capabilities across many scientific fields. Nondestructive evaluation (NDE) can benefit from increased use of tools guide optimization inspection health monitoring methods, enhance understanding data, aid development defect characterization generate data sets with machine learning model-assisted probability detection. Recent work at NASA entailed benchmarking both custom codes commercial...