Sentence examples for blade distribution from inspiring English sources

Main characteristics of the wind turbine, namely, the rotor diameter, the rotational speed, the maximum rated power, the hub height, the structural characteristics of the blade, and the geometric characteristics of the blade (distribution of thickness, twist angle, and chord) are employed as design variables for the overall design analysis.

The simulation was carried out using a RANS approach, with the cubic k-ε low Reynolds turbulence closure of Lien et al. The numerical simulation was able to verify the air performance of the fan and was used to derive blade-to-blade distributions of design parameters such as flow deviation, velocity components, specific work and diffusion factor of the optimized blade.

The obtained unsteady blade loading distribution over the blades is then used as a dipole source distribution in an acoustic analogy applied in the annular rigid duct with uniform mean flow.

The blade angle distribution has been arranged in a manner that it merges with single value at impeller exit.

The present time-lagged formulation introduces a new blade thickness distribution term that improves the convergence rate.

The optimization method seeks an optimum blade thickness distribution across the span with a prescribed constant safety factor for all the blade sections.

In particular, this has focused on the role of the unsteady blade lift distribution that is produced by upstream vane effects.

The paper then describes how an analysis technique was developed to integrate the aerodynamic and structural analysis of the wheel in order to predict the blade strain distribution at the mode 1 frequency.

It is shown that this phenomena can be explained by consideration of the flow vectors within the tip-gap, and that these in turn are related to the local blade loading distribution.

Variations in the blade loading distribution in the tip region and the squealer geometry change the scraping vortex characteristics, such as the size, intensity, and its position inside the cavity, resulting in a different controlling effect on leakage loss.

The verification and validation is carried out through a comparison of blade lift distribution, wind turbine power and force and moment coefficients using a combination of CFD and experimental data.