Prediction of gas–solid erosion wear of bionic surfaces based on machine learning and unimodal intelligent optimization algorithm-Reference-Cited by-同舟云学术

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

Published:2024-09 Issue: Volume:163 Page:108453
ISSN:1350-6307
Container-title:Engineering Failure Analysis
language:en
Short-container-title:Engineering Failure Analysis

Author:

Yu Haiyue^ORCID,Liu Haonan,Zhang Shuaijun,Zhang Junqiu,Han Zhiwu

Publisher

Elsevier BV

Reference29 articles.

1. Marine wear and tribocorrosion;Wood;Wear,2017

2. A comprehensive review of solid particle erosion modeling for oil and gas wells and pipelines applications;Parsi;J. Nat. Gas Sci. Eng.,2014

3. Effect of impact angle and testing time on erosion of stainless steel at higher velocities;Nguyen;Wear,2014

4. Influence of solids motion on ultrasonic horn tip erosion in solid–liquid two-phase flows;Xia;Wear,2021

5. Numerical research on erosion and wear of wind turbine blades in sand-carrying wind;Zhen;Acta Energiae Solaris Sinica,2022

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