Prediction of gas–solid erosion wear of bionic surfaces based on machine learning and unimodal intelligent optimization algorithm

•A new smooth and bionic surface erosion test dataset is established.•Visualization and analysis of the optimal use environment for each bionic surface.•A new gas–solid erosion wear prediction model (IHHO-SVR) was established. Solid particle erosion wear is an inevitable phenomenon in industrial pro...

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Veröffentlicht in:	Engineering failure analysis Jg. 163; S. 108453
Hauptverfasser:	Yu, Haiyue, Liu, Haonan, Zhang, Shuaijun, Zhang, Junqiu, Han, Zhiwu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2024
Schlagworte:	Bionic surface Data visual analysis Erosion wear Improved Harris Hawks optimization Support vector regression Bionic surface Data visual analysis Support vector regression Erosion wear Improved Harris Hawks optimization
ISSN:	1350-6307
Online-Zugang:	Volltext
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