High‐temperature ablation resistance prediction of ceramic coatings using machine learning
Jia Sun,
Zhixiang Zhang,
Yujia Zhang
et al.
Abstract:Surface ablation temperature and linear ablation rate are two crucial indicators for ceramic coatings under ultrahigh temperatures service, yet the results collection of such two indicators in the process is difficult due to the long‐period material preparation and the high‐cost test. In this work, four kinds of machine learning models are applied to predict the above two indicators. The Random Forest (RF) model exhibits a high accuracy of 87% in predicting surface ablation temperature, while a low accuracy of… Show more
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