With the development of science and technology, industrial production requires more and more precise parts processing, precision processing has become a trend. In this trend. The traditional processing methods have been difficult to meet the market demand for micro-hole parts. Therefore, combining the characteristics of EDM and Ultrasound-assisted Machining, a new horizontal Ultrasound-assisted EDM system for deep and small holes is designed and applied in physical machining. The experimental results show that the horizontal ultrasonic vibration of workpiece can promote the efficiency and depth of EDM, and improve the electrode wear and the inner surface roughness of small holes. By comparing the processing effects of different materials, it is found that the processing efficiency and depth of pig iron are better than those of stainless steel. In conclusion, the horizontal ultrasonic vibration system established in this paper not only improves the processing effect of conventional EDM to a certain extent, but also does not affect the spindle feed and working fluid circulation of EDM machine tools. It enriches the research direction of ultrasonic assisted EDM and has broad market prospects.
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http://dx.doi.org/10.1038/s41598-024-77997-0 | DOI Listing |
J Neurosurg Case Lessons
January 2025
Division of Neurosurgery, Department of Surgery, Hospital Ignacio Pirovano, Buenos Aires, Argentina.
Background: Resection of calcified meningiomas in the ventral thoracic spinal canal remains a formidable surgical challenge despite advances in technology and refined microsurgical techniques. These tumors, which account for a small percentage of spinal meningiomas, are characterized by their hardness, complicating safe resection and often resulting in worse outcomes than their noncalcified counterparts.
Observations: The authors present the case of a 68-year-old woman with a ventrally located ossified meningioma at the T9-10 level, successfully treated via a posterolateral transpedicular approach.
Food Sci Nutr
January 2025
Department of Food Science and Hygiene, Faculty of Veterinary Science Ilam University Ilam Iran.
In this study, the extract of leaf and flower of was obtained using an ultrasonic-assisted extraction method. The extraction yield and the content of phenolic, flavonoid, and flavonol compounds in the flower extract were higher (13.93%, 74.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
ICAR-National Institute of Abiotic Stress Management, Malegaon, Baramati, M.S., India.
Native banana starch (NS) has few limitations, such as poor solubility, low resistance to shear, temperature, and inconsistent retrogradation. This study investigates the effects of mono (α-amylase, pullulunase) and sequential enzymatic modifications of NS along with the application of ultrasound to enhance its functional attributes. Starch modified with α-amylase alone and along with ultrasound resulted the lowest amylose (20.
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Information Technology, Uppsala University, 75237, Uppsala, Sweden.
Objectives: The aim is to assess the feasibility and accuracy of a novel quantitative ultrasound (US) method based on global speed-of-sound (g-SoS) measurement using conventional US machines, for breast density assessment in comparison to mammographic ACR (m-ACR) categories.
Materials And Methods: In a prospective study, g-SoS was assessed in the upper-outer breast quadrant of 100 women, with 92 of them also having m-ACR assessed by two radiologists across the entire breast. For g-SoS, ultrasonic waves were transmitted from varying transducer locations and the image misalignments between these were then related analytically to breast SoS.
Sensors (Basel)
January 2025
Phillip M. Drayer Electrical Engineering Department, Lamar University, Beaumont, TX 77705, USA.
Automated ultrasonic testing (AUT) is a critical tool for infrastructure evaluation in industries such as oil and gas, and, while skilled operators manually analyze complex AUT data, artificial intelligence (AI)-based methods show promise for automating interpretation. However, improving the reliability and effectiveness of these methods remains a significant challenge. This study employs the Segment Anything Model (SAM), a vision foundation model, to design an AI-assisted tool for weld defect detection in real-world ultrasonic B-scan images.
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