Wang Yidan
Dalian University of Technology
41 Papers
74 Citations
Wang Yidan is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Ultrasonic sensor & Honeycomb structure. The author has an hindex of 6, co-authored 41 publications.
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Papers
Simulation and experimental study of ultrasonic cutting for aluminum honeycomb by disc cutter.
TL;DR: Results show that the hexagonal structure of aluminum honeycomb can be protected and machining quality can be improved by using ultrasonic vibration, and high quality and efficient machining for aluminum honeyCombine can be achieved.
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Effects of inclination angles of disc cutter on machining quality of Nomex honeycomb core in ultrasonic cutting
TL;DR: In this paper, the effect of the inclination angle of a disc cutter on the machining quality of a Nomex honeycomb core in ultrasonic cutting has been investigated and guidance for the use of disc cutters is provided.
15
Patent
Ultrasonic helical hole milling device and machining method
Dong Zhigang,Kang Renke,Zhu Xianglong,Yuan Zhang,Wang Yidan,Yang Guolin +5 more
- 09 Nov 2016
TL;DR: The ultrasonic helical hole milling device and the machining method have the advantages that the hole forming quality is high, hole forming consistency is good, and machining stability is good.
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A Novel Method of Blade-Inclined Ultrasonic Cutting Nomex Honeycomb Core With Straight Blade
TL;DR: In this article, a new blade-inclined ultrasonic cutting (BIUC) method is proposed to decrease the geometric interference between the cutting tool and the honeycomb cores.
14
Patent
Ultrasonic vibration drill hole tail end actuator
Dong Zhigang,Kang Renke,Zhu Xianglong,Li Xiaofeng,Wang Yidan,Liu Jinting +5 more
- 07 Oct 2015
TL;DR: In this paper, an ultrasonic vibration drill hole tail end actuator is presented for small holes with diameter less than 6 mm. The ultrasonic drilling technique is utilized for conducting drilling on aluminum alloy, titanium alloy, carbon fiber composite materials and other materials difficult to process through robots.
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