Article
Mechanics
Guodong Tong, Jun Xia, Hanfeng Zhong, Shu Liu, Jun Wu, Weiqian Zhao, Zhihai Wu, Hao Zhang, Chengkun Dong, Bintao Du
Summary: This report describes the generation of acoustic signals through laser-interference-based heating. The study found that modulating two laser beams in air can produce stronger sound signals compared to a single laser beam. The intensity of photoacoustic signals is directly proportional to the diameter of the laser beam, and modulating the spatial frequency of the laser beams can change the intensity of the acoustic signal. Additionally, stacking two beams vertically in three dimensions yielded better results than a single beam.
Article
Chemistry, Analytical
Noor A'in A. Rahman, Zazilah May, Rabeea Jaffari, Mehwish Hanif
Summary: Structural health monitoring is a popular method that utilizes acoustic emission signals for fault detection in engineering infrastructures. In this study, machine learning classification models were used to evaluate epoxy-based-protective-coating disbondment based on the acoustic emission principle. Experimental data was collected and processed to train various ML models, and the decision forest classification model outperformed other models in terms of accuracy, precision, recall, and F1 score.
Article
Acoustics
Weixiang Lin, Juan Xiao, Jian Wen, Simin Wang
Summary: In this study, the characteristics of acoustic cavitation in a sono-reactor were investigated numerically. The sound pressure signals were separated into harmonics, sub/ultra-harmonics and cavitation white noise using Fast Fourier Transfer (FFT). The occurrence of different components in the frequency spectra provided information about the non-linear propagation of ultrasound and the presence of gaseous and vaporous cavitation.
ULTRASONICS SONOCHEMISTRY
(2022)
Proceedings Paper
Engineering, Manufacturing
Xinfeng Zou, Zhen Li, Lianghua Zeng, Fengshou Gu, Andrew D. Ball
Summary: This research focuses on real-time state monitoring of a fused filament fabrication (FFF) 3D printing process using vibro-acoustic signals. The link between the frequency domain of the printing bed and the temperature of the nozzle based on vibro-acoustic signals is examined. The findings suggest that this method can serve as a benchmark for monitoring an FFF 3D printing process.
PROCEEDINGS OF TEPEN 2022
(2023)