Quarter-sawn timber visual measurement and mechanical classification method of fir sapwood of wind electric blade composite

Abstract

The invention discloses an eye-measurement and mechanical classifying method of fir wood sapwood quartersawn lumber of wind turbine blade composite material, which comprises (1) selecting the straight raw fir wood whose diameter is larger than 30cm, without surface defects, (2) blanking the fir wood radially, (3) cutting the blanked fir wood into suitable blank sheets, drying until water content is lower than 12%, (4), using eye-measurement to select the blank with straight texture, uniform material quality, less than 2mm uniform growth ring width and non surface growth defects and processing defects as object work pieces. The invention is quick and simple, via which the fir wood pass percent can reach 99%. Compared with prior method that only detects bend elastic modulus of material, the invention can improve production efficiency more than 10 powers to support the fir wood batch application in wind-generated electricity blade production.

Description

technical field [0001] The invention relates to a new technique for visual inspection and mechanical classification of fir sapwood quarter-cut boards of composite materials for wind power generation blades. Background technique [0002] At present, the blades used for wind power generation are generally made of glass fiber reinforced plastic (referred to as FRP) composite materials. Although the manufacturing process of this material is mature, it also has the problem of high cost (100,000-200,000 / ton), and the waste products of FRP are difficult to deal with, which is difficult to burn and decompose. Foreign countries often use stacking methods, also known as It is a waste material that cannot be used continuously. People continue to manufacture a large number of FRP products and then discard them, occupying a lot of land. Therefore, it is necessary to develop a new low-cost, recyclable and environmentally friendly blade to replace the glass fiber reinforced plastic blade ...

AI Technical Summary

Problems solved by technology

However, the current classification methods for wood usually use the value of the flexural modulus of elasticity of the detection material and classify it according to the size of the value. This method is time-consuming and laborious, and it is difficult to meet the requirements of industrial mass production of Chinese fir.

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