curved tube
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Author(s):  
Wenhui Li ◽  
Kang Liu ◽  
Qinghua Guo ◽  
Zhiming Zhang ◽  
Qiaoling Ji ◽  
...  

This paper proposes an optimization paradigm for structure design of curved-tube nozzle based on genetic algorithm. First, the mathematical model is established to reveal the functional relationship between outlet power and the nozzle structure parameters. Second, genetic algorithms transform the optimization process of curved-tube nozzle into natural evolution and selection. It is found that curved-tube nozzle with bending angle of 10.8°, nozzle diameter of 0.5 mm, and curvature radius of 8 mm yields maximum outlet power. Finally, we compare the optimal result with simulations and experiments of the rotating spinning. It is found that optimized curved-tube nozzle can improve flow field distribution and reduce the jet instability, which is critical to obtain high-quality nanofibers.


2021 ◽  
Author(s):  
Junye Li ◽  
Shangfu Zhu ◽  
Jinbao Zhu ◽  
Chengyu Xu ◽  
Hengfu Zhang ◽  
...  

Abstract Polygonal helical curved tube is the main form of rifling barrel, which surface quality determines the shooting accuracy of gun. Abrasive flow machining (AFM) technology can significantly improve its inner surface quality. In order to study the influence of AFM technical parameters on the inner surface quality of polygonal helical curved tube, orthogonal experimental design (OED) was used as the research method in this paper. By means of analysis of variance (ANOVA) of experimental data, the degree of influence of inlet pressure, abrasive concentration, abrasive particle size and machining time on the inner surface quality of polygonal helical curved tube was determined, and the optimal combination of process parameters was obtained. Under the optimal process parameters, the surface roughness Ra value in the inlet area of polygonal helical curved tube was reduced to 0.098 µm. The surface quality was significantly improved. Based on the regression analysis of experimental data, the quality prediction model of polygonal helical curved tube roughness by AFM was established to realize the effective prediction of surface quality after machining. The fitting value calculated by the model with optimal process parameters is close to the experimental value, which proves the accuracy and validity of the prediction model.


2021 ◽  
Author(s):  
Yue Wang ◽  
Peng Ren ◽  
Guorui Zhu ◽  
Wei Tan

Abstract Coil-wound heat exchanger, which has a large-scale turbulence in the shell side and a great heat transfer coefficient, has been widely used in chemical industry, such as liquefied natural gas (LNG) and crude pyrolysis of ethylbenzene. To investigate the general vibration characteristics, a complete wound tube can be divided into the curved tube and the coil tube for easy research because of its constraint condition. A finite element analysis is used to obtain the natural frequencies and corresponding mode shapes of the curved tubes and the coil tubes with various parameters. For the curved tube, the deformation of middle position of the tube is larger than that of the clamped ends. The maximum deformation occurs at the transition from the bending tube to the straight tube. With the increase of R1 and the decrease of R2, H1, H and θ, the natural frequencies of curved tube increase which is more likely to avoid the fluid-elastic instability, in which R1 is circumferential radius of the straight part of curved tube, R2 is coil radius, H1 is axial straight tube length, H is axial height of curved tube and θ is deflection angle. And for the coil tube, all the deformation for mode shape occurs in the axial direction, and there is no obvious deformation in the radial direction. With the increase of support number and the decrease of R2, the basic frequency of the coil tube increases. It provides a certain reference for the support layout of coil-wound heat exchanger.


2020 ◽  
Vol 19 ◽  
pp. 103431
Author(s):  
Anber Saleem ◽  
Salman Akhtar ◽  
Fahad M. Alharbi ◽  
S. Nadeem ◽  
Mehdi Ghalambaz ◽  
...  

2020 ◽  
Vol 907 ◽  
Author(s):  
Saman Ebrahimi ◽  
Peter Balogh ◽  
Prosenjit Bagchi
Keyword(s):  

Abstract


2020 ◽  
Vol 54 (11) ◽  
pp. 1255-1269
Author(s):  
Jianzhong Lin ◽  
Ruifang Shi ◽  
Fangyang Yuan ◽  
Mingzhou Yu
Keyword(s):  

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