New Technology of Heat Pipe Manufacture and Performance Testing of Experimental Research

2017 ◽  
Vol 53 (10) ◽  
pp. 160
Author(s):  
Xiaolei GAO
2014 ◽  
Vol 85 (9) ◽  
pp. 095105 ◽  
Author(s):  
Jeehoon Choi ◽  
Yuan Yuan ◽  
Diana-Andrea Borca-Tasciuc ◽  
Hwankook Kang

2015 ◽  
Vol 719-720 ◽  
pp. 258-261
Author(s):  
Xiao Gang Li ◽  
Zhou Zhou ◽  
Ke Qiang Cao ◽  
Chao Xia ◽  
Na Li

In order to start performance testing and experimental research for enclosure of airplanes’ fuel systems, a type of integrative testing system is designed in this paper. This system can accomplish function and performance tests for enclosures in airplanes’ fuel system, and also can execute troubleshooting experiments.


2021 ◽  
Vol 16 (1) ◽  
pp. 77-85
Author(s):  
Bharosh Kumar Yadav ◽  
Nischal Pokhrel ◽  
Dinesh Khatiwada ◽  
Madan Khanal ◽  
Triratna Bajracharya ◽  
...  

This research paper presents the design, construction, and performance testing of an automatic electrically powered egg incubator utilizing the horizontal placement of eggs. This experimental research was driven by the specific design and construction of a well-insulated rectangular egg-incubating box of dimension 400 mm × 600 mm × 500 mm and thickness 30 mm, where sample eggs were kept for experimental test analysis under the favorable temperature and humidity inside the box, which was automatically controlled. The device was made to operate under the temperature range of 37°C – 38°C, which was found to be adequate for developing embryos and also maintaining relative humidity at the range of 45–60% for the first 18 days and 60–90% for the last three days. Finally, in this machine, the egg tray was adjusted horizontally, and a motor clamped mechanism was used 5 times a day which was controlled automatically by a micro-controller for the motion of eggs up to 18 days of incubation. In conclusion, this egg-incubating machine has an efficiency and hatchability of 72.22%.


2020 ◽  
pp. 1-12
Author(s):  
Wu Xin ◽  
Qiu Daping

The inheritance and innovation of ancient architecture decoration art is an important way for the development of the construction industry. The data process of traditional ancient architecture decoration art is relatively backward, which leads to the obvious distortion of the digitalization of ancient architecture decoration art. In order to improve the digital effect of ancient architecture decoration art, based on neural network, this paper combines the image features to construct a neural network-based ancient architecture decoration art data system model, and graphically expresses the static construction mode and dynamic construction process of the architecture group. Based on this, three-dimensional model reconstruction and scene simulation experiments of architecture groups are realized. In order to verify the performance effect of the system proposed in this paper, it is verified through simulation and performance testing, and data visualization is performed through statistical methods. The result of the study shows that the digitalization effect of the ancient architecture decoration art proposed in this paper is good.


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