Coating random multiphase two-dimensional physical model modeling and performance evaluation method

Abstract

The invention provides a coating random multiphase two-dimensional physical model modeling method, which comprises the following steps of: constructing a coating two-dimensional multi-scale random medium, intercepting a lubricating phase and pore position coordinate from a total node on the coating two-dimensional multi-scale random medium by a threshold intercepting method, and taking residual nodes as a matrix position coordinate to obtain a coating two-dimensional multiphase two-dimensional physical model. And obtaining a random multiphase two-dimensional physical model of the coating. In addition, the invention provides a coating performance evaluation method, which comprises the following steps of: constructing the coating random multiphase two-dimensional physical model by the coating random multiphase two-dimensional physical model modeling method; and based on the random multiphase two-dimensional physical model of the coating, performing numerical simulation by adopting a finite element method to obtain coating performance parameters, and evaluating the coating performance.

Description

technical field [0001] The application belongs to the technical field of performance evaluation of abradable sealing coatings, and specifically relates to a random multiphase two-dimensional physical model modeling of a coating and a performance evaluation method thereof. Background technique [0002] The performance parameters of the abradable sealing coating mainly include hardness, bonding strength, abradability and erosion resistance, etc. For the performance evaluation of the abradable sealing coating, the traditional methods include direct method and indirect method, among which: [0003] The direct method directly measures the performance parameters of the abradable sealing coating by means of the abradable testing machine, the vacuum gravity test, and the surface Rockwell hardness test. It is necessary to strictly control the testing parameters, environmental conditions, and It is necessary to prepare a large number of test samples, and constantly adjust the spraying...

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Problems solved by technology

[0003] The direct method directly measures the performance parameters of the abradable sealing coating by means of the abradable testing machine, the vacuum gravity test, and the surface Rockwell hardness test. It is necessary to strictly control the testing parameters, environmental conditions, and It is necessary to prepare a large number of test samples, and constantly adjust the spraying process parameters and composition ratio, which consumes a lot of manpower and material resources;

[0004] The indirect method analyzes the hardness, bonding strength, abradability and erosion resistance of the abradable seal coating by characterizing the content, morphology and distribution of each phase of the abradable seal coating, which also requires a large number of tests Samples, constantly adjusting the spraying process parameters and composition ratio, consume a lot of manpower and material resources

[0005] At present, the research believes that by constructing a two-dimensional physical model of the abradable sealing coating, describing the content, size, distribution and shape of each phase of the abradable sealing coating, and using the finite element method for numerical simulation, it can be quickly realized For the performance evaluation of abradable sealing coatings, at present, when constructing a two-dimensional physical model of abradable sealing coatings, the appearance of each phase is simply equivalent to an ellipse or other simple shapes. However, in practice The morphology of each phase of the abradable sealing coating is very complex, with obvious randomness and uncertainty, large size changes, irregular shapes, and rough boundaries, which have an important impact on the performance of the abradable sealing coating. When sealing the two-dimensional physical model of the coating, the appearance of each phase is simply equivalent to an ellipse or other simple shapes, and the influence of the appearance of each phase on the numerical simulation is not fully considered, so it is difficult to obtain reliable analysis results

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