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In recent years, ultrasonic processing (USP) technology has led to some of the most promising scientific breakthroughs in the field of pharmaceutical, food, environmental and material sciences leading to advancements in manufacturing, process efficiency, and material performance. However, the industrial scalability of USP still remains a key challenge, largely due to the lack of awareness, standardization and predictive multiphysics models. Optimizing this technology necessitates a bottom-up approach, emphasizing fundamental understanding of the physical phenomena at play prior to scaling-up. Despite the advancements of opto-acoustic characterization tools, the underlying root-cause driving these technological innovations remains unexplored. This paper provides a comprehensive overview of our work carried out in the last 5 years to uncover the fundamental mechanism that governs the deployment of USP in areas related to metal casting, additive manufacturing, production of nanomaterials and composites by employing in-situ high-speed visualizations techniques and characterization of acoustic emissions. The results presented and discussed in this article offer a new perspective on the pivotal role of cavitation-induced shock waves, shifting the focus from being just a by-product, to a primary driver of material modification during USP.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12309610 | PMC |
http://dx.doi.org/10.1016/j.ultsonch.2025.107473 | DOI Listing |
Comput Methods Biomech Biomed Engin
September 2025
School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
This study aims to investigate the effect of reflection at the soft tissue-bone interface on shock wave propagation within soft tissue using finite element methods. Results showed that reflection caused obvious differences in the propagation process and attenuation characteristics of shock waves. The energy flux density (EFD) at the same target was proportional to the impact pressure.
View Article and Find Full Text PDFPsychophysiology
September 2025
Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi'an, China.
The impact of state anxiety on conflict control and its neural mechanisms, particularly in relation to proactive versus reactive control, remains incompletely understood. Therefore, we conducted two experiments to investigate how state anxiety affects conflict control across different control contexts and to explore the associated temporal dynamics. The threat of shock paradigm was employed to induce state anxiety.
View Article and Find Full Text PDFFront Cardiovasc Med
August 2025
Department of Pharmacy, Quzhou KeCheng People's Hospital, Quzhou, Zhejiang, China.
Diffuse coronary artery spasm (DMV-CAS) is a serious vascular condition characterized by prolonged narrowing of two or more major coronary arteries or their main branches, leading to significant stenosis or blockage (≥70%). This can result in myocardial ischemia, heart attacks, and dangerous arrhythmias. A 68-year-old male with a four-year history of recurrent angina presented with acute-onset chest tightness, palpitations, and syncope.
View Article and Find Full Text PDFSci Rep
September 2025
Department of Mathematics, Applied College at Dhahran Al Janoub, King Khalid University, Abha, 62529, Saudi Arabia.
This study explores the Triki-Biswas (TB) model, a novel model describing soliton dynamics in monomodal optical fibers with non-Kerr dispersion, to obtain optical solitons. Optical bright and singular solitons were derived using the generalized Jacobi elliptic function (gJEF) method and the [Formula: see text]expansion method. Trigonometric, hyperbolic, exponential, polynomial, and rational functions are obtained.
View Article and Find Full Text PDFSci Rep
September 2025
Facultad de Ciencias Naturales e Ingenieria, Universidad de Bogota Jorge Tadeo Lozano, Bogota, 110311, Colombia.
The nonlinear Chen-Lee-Liu (NCLL) model is a crucial mathematical model for assessing optical fiber communication systems. It incorporates various factors, including noise, dispersion, and nonlinearity, which can influence signal quality and data transmission rates within optical fiber networks. The NCLL model can be employed to optimize the design of optical fiber systems.
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