首页|Reports on Machine Learning Findings from Zhejiang University Provide New Insigh ts (Identification of gas-liquid two-phase flow patterns based on flexible ultra sound array and machine learning)
Reports on Machine Learning Findings from Zhejiang University Provide New Insigh ts (Identification of gas-liquid two-phase flow patterns based on flexible ultra sound array and machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Fresh data on artificial intelligence are presented in a new report. According to newsreporting originating from Zhej iang University by NewsRx correspondents, research stated, "Ultrasoundtechnolog y has been recognized as the mainstream approach for the identification of gas-l iquid two-phaseflow patterns, which holds great value in engineering domain."Funders for this research include National Natural Science Foundation of China.Our news journalists obtained a quote from the research from Zhejiang University : "However, commercialrigid probes are bulky, limiting their adaptability to cu rved surfaces. Here, we propose a strategyfor autonomous identification of flow patterns based on flexible ultrasound array and machine learning.The array fea tures high-performance 1-3 piezoelectric composite material, stretchable serpent ine wires,soft Eco-flex layers and a polydimethylsiloxane (PDMS) adhesive layer . The resulting ultrasound arrayexhibits excellent electromechanical characteri stics and offers a large stretchability for an intimate interfacialcontact to c urved surface without the need of ultrasound coupling agents. We demonstrated th atthe flexible ultrasound array combined with machine learning can accurately i dentify gas-liquid two-phaseflow patterns, in a circular pipeline."
Zhejiang UniversityCyborgsEmerging T echnologiesEngineeringMachine Learning
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