Fractal theory-based riding clothes fabric resistance crisis prediction method

Abstract

The invention relates to a riding clothes fabric resistance crisis prediction method based on a fractal theory, and the method comprises the following steps: designing a wind tunnel test according to the state of riding motion, and determining the minimum wind resistance coefficient of each part of fabric, and a Reynolds number when the minimum wind resistance coefficient is reached; acquiring surface images of the plurality of parts of fabrics, performing gray processing on the surface images of the plurality of parts of fabrics, and calculating fractal dimensions of the surface images of the fabrics after gray processing; the minimum wind resistance coefficient and the critical Reynolds number of the fabric serve as dependent variables, the fractal dimension serves as an independent variable, fitting functions between the fractal dimension and the minimum wind resistance coefficient and between the fractal dimension and the critical Reynolds number of the fabric are established, and a prediction model of the fabric resistance crisis is obtained; and predicting a sample by using the prediction model of the fabric resistance crisis. The method is simple in implementation process, accurate in prediction result and high in practicability.

Description

technical field [0001] The invention relates to the field of textile and clothing, in particular to a method for predicting the resistance crisis of cycling clothing fabrics based on fractal theory. Background technique [0002] The performance of cycling sports is not only related to the ability of the athletes themselves, but also affected by many objective factors, one of the main factors is wind resistance. A 2x increase in riding speed results in a 4x increase in resistance. Therefore, it is very important for athletes to reduce resistance in order to gain a competitive advantage. Clothing is an indispensable equipment in competition, and its drag reduction performance has a non-negligible impact on the performance of athletes. Therefore, it is of great significance to study the aerodynamic performance of cycling clothing fabrics for improving the level of competition. [0003] Despite the complex structure of the human body, the body parts can be equivalent to multip...

AI Technical Summary

Problems solved by technology

Some researchers use the height-based roughness as the characteristic quantity of fabric morphology to predict the resistance crisis, however, there is a problem with this method: some fabrics have the same roughness, but the morphology is very different

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