Search by tag «Cavitation» 2 results

• Rose or White: ITMO Researchers’ New Algorithm Uses Bubbles to Gauge Wine Quality and Glass Type

  Scientists at ITMO University have developed a method of assessing the type of sparkling wine with 84% accuracy – and the type of wine glass with 82% accuracy. The researchers were the first to use machine learning in order to analyze wine based on the shape and size of bubbles caused by ultrasound. This invention will be helpful in providing automated, quick, and inexpensive quality control in industrial and lab conditions. The results of the study were published in RSC Advances and supported by grant No. FSER-2024-0003 of the Russian Ministry of Science and Higher Education.

  03.04.2025

• ITMO Scientists Train Neural Networks to Determine Solution Concentration Via Air Bubbles

  Researchers from ITMO’s Infochemistry Scientific Center have devised an algorithm that can identify the concentration of water-alcohol solutions based on the shape of air bubbles. These bubbles can arise in liquids due to multiple factors, such as ultrasound. They do not remain stable and their shape can change. The scientists studied air bubbles to prove that they behave differently in solutions with various concentrations, as well as trained a neural network to record these changes and detect a solution’s concentration based on its bubble image. This can potentially help scientists take real-time measurements of the composition and concentration of various industrial raw materials.

  13.05.2022