Full-range stress–strain curve estimation of aluminum alloys using machine learning-aided ultrasound
Full-range stress–strain curve estimation of aluminum alloys using machine learning-aided ultrasound
https://doi.org/10.1016/j.ultras.2023.107146
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Comparisons of second- and third-order ultrasonic nonlinearity parameters measured using through-transmission and pulse-echo methods
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Microstructural Characterization of Additively Manufactured Metal Components Using Linear and Nonlinear Ultrasonic Techniques
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In-situ and Layer-by-layer Grain Size Estimation of Additively Manufactured Metal Components using Femtosecond Laser Ultrasonic Technique (Submitted)
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Nondestructive Inspection of Cylindrical Components Repaired Via Directed Energy Deposition Using Scanning Acoustic Microscopy with Metal Lubricants
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Plastic properties estimation of aluminum alloys using machine learning of ultrasonic and eddy current data
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Full-range stress–strain curve estimation of aluminum alloys using machine learning-aided ultrasound
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Nondestructive Inspection of Directed Energy Deposited Components Using Scanning Acoustic Microscopy with Metalworking Fluids
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Calibration method using a narrowband signal for measurement of the acoustic nonlinearity parameter
