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作者机构:Department of Engineering MechanicsSoft Matter Research CenterKey Laboratory of Soft Machines and Smart Devices of Zhejiang Provinceand State Key Laboratory of Brain-Machine IntelligenceZhejiang UniversityHangzhou310027China Nanhu Brain-Computer Interface InstituteHangzhou311100China State Key Laboratory of Clean Energy UtilizationZhejiang UniversityHangzhou310027China Department of Rehabilitation MedicineThe First Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhou310003China
出 版 物:《npj Flexible Electronics》 (npj-柔性电子(英文))
年 卷 期:2024年第8卷第1期
页 面:205-214页
核心收录:
学科分类:080704[工学-流体机械及工程] 080103[工学-流体力学] 08[工学] 0807[工学-动力工程及工程热物理] 0801[工学-力学(可授工学、理学学位)]
基 金:supports from National Natural Science Foundation of China(Grant Nos.12225209,U21A20502,U20A6001,12321002 and 51976188) the 111 Project(Grant No.B21034)and the Fundamental Research Funds for the Central Universities
摘 要:Ultrasound technology has been recognized as the mainstream approach for the identification of gasliquid two-phase flow patterns,which holds great value in engineering ***,commercial rigid probes are bulky,limiting their adaptability to curved ***,we propose a strategy for autonomous identification of flow patterns based on flexible ultrasound array and machine *** array features high-performance 1–3 piezoelectric composite material,stretchable serpentine wires,soft Eco-flex layers and a polydimethylsiloxane(PDMS)adhesive *** resulting ultrasound array exhibits excellent electromechanical characteristics and offers a large stretchability for an intimate interfacial contact to curved surface without the need of ultrasound coupling *** demonstrated that the flexible ultrasound array combined with machine learning can accurately identify gas-liquid two-phase flow patterns,in a circular *** work presents an effective tool for recognizing gas-liquid two-phase flow patterns,offering engineering opportunities in petroleum extraction and natural gas transportation.