blade tip
Recently Published Documents


TOTAL DOCUMENTS

1413
(FIVE YEARS 353)

H-INDEX

38
(FIVE YEARS 6)

2022 ◽  
Vol 169 ◽  
pp. 108628
Author(s):  
Zhicheng Xiao ◽  
Yiming Meng ◽  
Hua Ouyang

2022 ◽  
Vol 167 ◽  
pp. 108538
Author(s):  
Zhenfang Fan ◽  
Hongkun Li ◽  
Jiannan Dong ◽  
Xinwei Zhao

2022 ◽  
Vol 253 ◽  
pp. 115140
Author(s):  
Weipao Miao ◽  
Qingsong Liu ◽  
Zifei Xu ◽  
Minnan Yue ◽  
Chun Li ◽  
...  

Wind ◽  
2022 ◽  
Vol 2 (1) ◽  
pp. 51-67
Author(s):  
Lun Ma ◽  
Pierre-Luc Delafin ◽  
Panagiotis Tsoutsanis ◽  
Antonis Antoniadis ◽  
Takafumi Nishino

A fully resolved (FR) NREL 5 MW turbine model is employed in two unsteady Reynolds-averaged Navier–Stokes (URANS) simulations (one with and one without the turbine tower) of a periodic atmospheric boundary layer (ABL) to study the performance of an infinitely large wind farm. The results show that the power reduction due to the tower drag is about 5% under the assumption that the driving force of the ABL is unchanged. Two additional simulations using an actuator disc (AD) model are also conducted. The AD and FR results show nearly identical tower-induced reductions of the wind speed above the wind farm, supporting the argument that the AD model is sufficient to predict the wind farm blockage effect. We also investigate the feasibility of performing delayed-detached-eddy simulations (DDES) using the same FR turbine model and periodic domain setup. The results show complex turbulent flow characteristics within the farm, such as the interaction of large-scale hairpin-like vortices with smaller-scale blade-tip vortices. The computational cost of the DDES required for a given number of rotor revolutions is found to be similar to the corresponding URANS simulation, but the sampling period required to obtain meaningful time-averaged results seems much longer due to the existence of long-timescale fluctuations.


Machines ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 56
Author(s):  
Yanjun Li ◽  
Qixu Lin ◽  
Fan Meng ◽  
Yunhao Zheng ◽  
Xiaotian Xu

In order to study the influence of tip clearance on the performance and energy dissipation of the axial-flow pump and the axial-flow pump as a turbine, and find the location of high dissipation rate, this study took an axial-flow pump model as its research object and designed four tip radial clearance schemes (0, 0.2, 1 and 2 mm). The unsteady calculation simulation of each tip clearance scheme was carried out based on CFD technology. The calculated results were compared with the experimental results, and the simulation results were analyzed using entropy production analysis theory. The results showed that, under both an axial-flow pump and axial-flow pump as turbine operating conditions, increasing the blade tip clearance led to a decrease in hydraulic performance. Compared with the 0 mm clearance, the maximum decreases in pump efficiency, head and shaft power under 2 mm tip clearance were 15.3%, 25.7% and 12.3% under the pump condition, and 12.7%, 18.5% and 28.8% under the turbine condition, respectively. Under the axial-flow pump operating condition, the change in blade tip clearance had a great influence on the total dissipation of the impeller, guide vane and outlet passage, and the maximum variation under the flow rate of 1.0 was 53.9%, 32.1% and 54.2%, respectively. Under the axial-flow pump as a turbine operating condition, the change in blade tip clearance had a great influence on the total dissipation of the impeller and outlet passage, the maximum variation under the flow rate of 1.0 was 22.7% and 17.4%, respectively. Under the design flow rate condition, with the increase in tip clearance, the dissipation rate of the blade surface showed an increasing trend under both the axial-flow pump and axial-flow pump as turbine operating conditions, and areas of high dissipation rate were generated at the rim and clearance.


2022 ◽  
Vol 163 ◽  
pp. 108137
Author(s):  
Zhibo Liu ◽  
Fajie Duan ◽  
Guangyue Niu ◽  
Dechao Ye ◽  
Junnan Feng ◽  
...  
Keyword(s):  

2022 ◽  
Vol 120 ◽  
pp. 107275
Author(s):  
Gianluca Romani ◽  
Edoardo Grande ◽  
Francesco Avallone ◽  
Daniele Ragni ◽  
Damiano Casalino

2022 ◽  
Vol 162 ◽  
pp. 108030
Author(s):  
Sanqun Ren ◽  
Xiaorong Xiang ◽  
Wei Zhao ◽  
Qingjun Zhao ◽  
Chen Wang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document