A modulated fingerprint assisted machine learning method for retrieving elastic moduli from resonant ultrasound spectroscopy
J Liu, X Zhao, K Zhao, VG Goncharov… - Scientific Reports, 2023 - nature.com
We used deep-learning-based models to automatically obtain elastic moduli from resonant
ultrasound spectroscopy (RUS) spectra, which conventionally require user intervention of …
ultrasound spectroscopy (RUS) spectra, which conventionally require user intervention of …
Elastic constant estimation for low-Q materials using convolutional neural network based resonant ultrasound spectroscopy
R Wang, F Fan, F Shen, Y Wang… - Nondestructive Testing and …, 2025 - Taylor & Francis
Resonant ultrasound spectroscopy (RUS) is a non-destructive technique to calculate
material elastic constants from resonant frequencies. However, low quality factor (ie, low-Q) …
material elastic constants from resonant frequencies. However, low quality factor (ie, low-Q) …
Temperature dependence of single crystal elastic constants in a CoNi-Base alloy: A new methodology
A novel experimental setup combining induction heating, contactless (infrared thermometer)
temperature measurements, and custom 15 cm length SiC-tipped piezoelectric transducers …
temperature measurements, and custom 15 cm length SiC-tipped piezoelectric transducers …
Influence of the Co/Ni ratio and dendritic segregations on the high-temperature oxidation resistance of multinary Co-rich superalloys at 850 C and 1050 C
SP Hagen, M Weiser, B Abu-Khousa… - … Materials Transactions A, 2022 - Springer
Excellent inherent oxidation resistance is a prerequisite for the use of superalloys in many
high-temperature applications. To achieve this goal, typically continuous alumina and …
high-temperature applications. To achieve this goal, typically continuous alumina and …
Optimization and validation of an inverse method for elastic constant estimation in resonant ultrasound spectroscopy
C Shi, H Li, J Zhang, H Zhao - Engineering Optimization, 2025 - Taylor & Francis
This article introduces an inverse method using a particle swarm optimization algorithm
enhanced by fuzzy logic to determine elastic constants in resonant ultrasound spectroscopy …
enhanced by fuzzy logic to determine elastic constants in resonant ultrasound spectroscopy …
Elastic constant analysis of orthotropic steel sheets using multitask machine learning and the impulse excitation technique
Z Li, A Alkhayyat, A Yadav, M Samavatian… - Physica …, 2024 - iopscience.iop.org
This work presents a novel multitask learning approach featuring a dual convolutional
neural network (CNN) system for determining the elastic constants of orthotropic rolled steel …
neural network (CNN) system for determining the elastic constants of orthotropic rolled steel …
Comparative investigation of the inverse framework for resonant ultrasound spectroscopy
C Shi, H Li, J Zhang, H Zhao - Computational and Applied Mathematics, 2025 - Springer
Resonant ultrasound spectroscopy (RUS), a nondestructive testing technology based on
free resonance frequencies, can be employed to derive all anisotropic elastic constants in …
free resonance frequencies, can be employed to derive all anisotropic elastic constants in …
Inverse identification of geometric and acoustic parameters of inhomogeneous coatings through URCAS-based least-squares coupled cross-correlation algorithm
Z Ma, T Qi, L Lin, M Lei - Ultrasonics, 2022 - Elsevier
Aiming to determine the geometric and acoustic parameters of inhomogeneous multi-layer
coatings, an ultrasonic pressure reflection coefficient amplitude spectrum (URCAS) is …
coatings, an ultrasonic pressure reflection coefficient amplitude spectrum (URCAS) is …