• Full-range stress–strain curve estimation of aluminum alloys using machine learning-aided ultrasound

  • Nondestructive Inspection of Directed Energy Deposited Components Using Scanning Acoustic Microscopy with Metalworking Fluids

  • Nondestructive Inspection of Cylindrical Components Repaired Via Directed Energy Deposition Using Scanning Acoustic Microscopy with Metal Lubricants

  • Plastic properties estimation of aluminum alloys using machine learning of ultrasonic and eddy current data

  • Calibration method using a narrowband signal for measurement of the acoustic nonlinearity parameter

  • Comparisons of second- and third-order ultrasonic nonlinearity parameters measured using through-transmission and pulse-echo methods

  • In-situ and Layer-by-layer Grain Size Estimation of Additively Manufactured Metal Components using Femtosecond Laser Ultrasonic Technique (Submitted)

  • Microstructural Characterization of Additively Manufactured Metal Components Using Linear and Nonlinear Ultrasonic Techniques

  • Tensile properties evaluation of additively manufactured Ti-6Al-4V/yttria-stabilized zirconia composite using absolute nonlinear-ultrasonic technique (Submitted)

  • Generation and Measurement of Gigahertz Ultrasonic Waves in Additively Manufactured Thin Metal Components using Femtosecond Laser and Application to In-situ Grain size Monitoring (Submitted)

  • Porosity evaluation of additive manufactured parts: ultrasonic testing and eddy current testing

  • Nondestructive evaluation of micro-oxide inclusions in additively manufactured metal parts using nonlinear ultrasonic technique

  • Mechanical properties estimation of additively manufactured metal components using femtosecond laser ultrasonics and laser polishing

  • Experimental Verification of Contact Acoustic Nonlinearity at Rough Contact Interfaces

  • Compensation of a Second Harmonic Wave Included in an Incident Ultrasonic Wave for the Precise Measurement of the Acoustic Nonlinearity Parameter

  • Measurement of Absolute Acoustic Nonlinearity Parameter Using Laser-Ultrasonic Detection

  • Rapid Molecular Diagnostic Sensor Based on Ball-Lensed Optical Fibers

  • Porosity Evaluation of Additively Manufactured Components Using Deep Learning‑based Ultrasonic Nondestructive Testing (Editor's pick)

  • Deep Learning-Based Ultrasonic Testing to Evaluate the Porosity of Additively Manufactured Parts with Rough Surfaces

  • Analysis of the influence of surface roughness on measurement of ultrasonic nonlinearity parameter using contact-type transducer

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Hanyang University,
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