Real-time measurement method for wood deformation microstructure characteristics

Abstract

The invention discloses a real-time measurement method for wood deformation microstructure characteristics. The method comprises the following steps: 1) loading wood to be detected; 2) magnifying a area to be detected through a microscopic unit in the loading process; 3) acquiring image information through an image acquisition unit and then working out the X-axis length X0-Xn and the Y-axis length Y0-Yn of every cell on a loading surface at each image acquisition moment through an image processing unit; 4) calculating the pressure or tensile strain Epsilonxn and Epsilonyn of single cells on an X axis and a Y axis according to the X-axis length X0 and the Y-axis length Y0 of each cell before deformation, as well as the X-axis length Xn and the Y-axis length Yn of each cell after deformation, wherein Epsilonxn = (Xn-X0) / Xn, and Epsilonyn = (Yn-Y0) / Yn; and 5) averaging the pressure and tensile strain Epsilonxn and Epsilonyn of all single cells in the area to be detected magnified through the microscopic unit so as to obtain the pressure and tensile strain Epsilonx and Epsilony of a whole characterized wood on the X axis and the Y axis. The method can measure micro-area tissue and cell strain to realize micro-area deformation quantization, and can monitor micro-area defects.

Description

technical field [0001] The invention relates to a real-time measurement method for mechanical strength properties such as compression or tension and deformation microstructure characteristics of wood and wood composite materials. Background technique [0002] In the process of production, processing and use of wood and wood composite materials, it is inevitable to encounter mechanical behaviors such as compression or tension. The detection of mechanical properties of materials is the key to ensuring the quality of subsequent products and their rational use. The performance and microstructural effects of materials or products, as well as the influence of microstructural features on the overall performance of materials, are still unclear. [0003] For the current detection methods, the single macroscopic mechanical property detection is the main one. This detection method has many defects and shortcomings: [0004] 1. Judging the performance of wood materials only by macrosc...

AI Technical Summary

Problems solved by technology

This detection method has many defects and shortcomings:

[0004]1. Judging the performance of wood materials only by macroscopic mechanical behavior is insufficient to grasp the performance of the material itself;

[0005]2. Only the result of the mechanical behavior of the material can be understood, but the cause of the mechanical behavior is not known;

[0006]3. The testing process cannot take into consideration the temperature, moisture content and other influencing factors of the tested material;

[0008]5. For an anisotropic heterogeneous material such as wood, the obtained strain results are single, which cannot truly reflect the stress-strain results of each tissue structure of wood;

[0009]6. After the test is over, the springback of the tested material cannot be obtained in time, and the residual stress of the tested material cannot be analyzed

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