Paper
11 October 2023 A formula calculation model of multi-additive special coating based on K nearest neighbor algorithm
Linghong Chi, Jun Huang
Author Affiliations +
Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 1280005 (2023) https://doi.org/10.1117/12.3004137
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China
Abstract
In order to improve the properties of special coatings, many additives should be added in the preparation process. The properties of coating are affected by multi-dimensional parameters such as the content ratio of various additives and the type of resin material as the base of coating. In order to solve the problem of multi - additive special coating preparation dependent on experience, the preparation coating does not match the base material, the lack of effective guidance of mathematical models. The introduction of machine learning technology, through the analysis of historical preparation data. K-nearest neighbor algorithm (KNN) was used to establish the mathematical model of the composite interaction between the content of various additives and the contact angles of different resin materials. It is proved that this model has good prediction accuracy by using the actual data.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Linghong Chi and Jun Huang "A formula calculation model of multi-additive special coating based on K nearest neighbor algorithm", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 1280005 (11 October 2023); https://doi.org/10.1117/12.3004137
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KEYWORDS
Coating

Data modeling

Education and training

Chemical reactions

Principal component analysis

Composites

Chemical analysis

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