Vertical-axis wind turbine blade and machining method

Abstract

The invention discloses a vertical-axis wind turbine blade and a machining method. The machining method comprises the following steps of: obliquely cutting an aluminum alloy plate into strips, wherein an inclination angle is obtained through calculation according to the height and the chord length of a helical blade; machining the aluminum strips into wedges in cross section, wherein the length, the width and the wedge angle of the wedge-shaped cross sections are obtained through calculation through NACA4418 conversion; closely arranging the wedge-shaped aluminum strips in parallel and fixedly connecting the end parts of the aluminum strips through welding or other methods to form a rectangular aluminum plate; curling the aluminum plate into a cylinder by using a plate curling machine, wherein the curling radius is the rotating radius of the required helical blade; detaching the curled aluminum strips and drawing the two ends of the aluminum strips along the axial direction of the cylinder till height-diameter ratio (h/d) is equal to 2.4; and cutting off the aluminum strips into two parts with equal height and slightly grinding edges to the shape of an NACA4418 section to obtain two helical blades. The vertical-axis wind turbine blade and the machining method have the advantages that the problem in machining the complex curved surface of the helical blade is solved, the wind energy utilization ratio in China is greatly improved and the development of the wind power industry is promoted.

Description

[0001] This application is a divisional application with application number: 201110268532.X, application date: 2011.09.13, and title: "Screw-type vertical-axis wind turbine blade and processing method for wind power generation". technical field [0002] The invention relates to a processing method of a spiral vertical axis wind turbine blade for wind power generation. Background technique [0003] Vertical axis wind power generators are mainly divided into four types: Savonius type, Darrieus type, H type and turbine type. The Savonius type belongs to the drag type wind turbine, which has a large starting torque and has a good ability to capture wind energy at low wind speeds, but the wind energy utilization rate is low, and because of the low wind energy conversion efficiency, it is rarely used; the Darrieus type belongs to the lift type wind turbine, and the efficiency is low. Higher but poor self-starting ability, and blade processing is very complicated; H type is a model...

AI Technical Summary

Problems solved by technology

The Savonius type belongs to the drag type wind turbine, which has a large starting torque and has a good ability to capture wind energy at low wind speeds, but the wind energy utilization rate is low, and because of the low wind energy conversion efficiency, it is rarely used; the Darrieus type belongs to the lift type wind turbine, and the efficiency is low. Higher but poor self-starting ability, and blade processing is very complicated; H type is a model developed on the basis of Darrieus wind turbine, with good self-starting ability and simple structure, and is currently the most used model of vertical axis wind turbines. However, it requires a high start-up wind speed. In residential areas, due to the low wind speed and complex wind conditions, it is often in a shutdown state or an unstable working state (such as energy pulsation and start-up dead angle, etc.); the turbine type has good adaptability to environments with low air density.

Therefore, for villages and towns with less abundant wind resources and urban areas with high-rise buildings and complex wind conditions, the above-mentioned type of vertical axis wind turbine is not suitable, and structural improvement and performance optimization are required

The utility model patent 201020112299.7 combined the proper deformation of the S-shaped blade with the helical blade, but failed to explain the specific structure of the helical blade, and the utilization of wind energy is unknown

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