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 to-be-detected wood; 2) magnifying a to-be-detected area 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 to-be-detected area 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 method for real-time measurement of mechanical strength properties and deformation microstructure characteristics of wood and wood composite materials such as compression or tension. Background technique [0002] Wood and wood composite materials will inevitably encounter mechanical behaviors such as compression or tension during the production, processing and use. The testing of the mechanical properties of the materials is the key to ensuring the quality of subsequent products and their reasonable use. The performance and microstructure effects of materials or products and the effects of microstructure characteristics on the overall performance of materials are still unclear. [0003] For the current detection methods, a single macro-mechanical performance detection is mainly used. This detection method has many defects and shortcomings: [0004] 1. Judging the performance of wood materials only by macro-mechanical behavior is a...

AI Technical Summary

Problems solved by technology

[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 account the temperature, moisture content and other influencing factors of the tested material;

[0007] 4. The strain obtained during the detection process is the average strain of the material as a whole, which does not reflect the strain of different organizational structures of the material; it cannot reflect the relationship between the structure of each part of the wood and the overall stress and strain;

[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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