Effect and optimization of triangular textures on lubrication performance of the thrust bearing | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Effect and optimization of triangular textures on lubrication performance of the thrust bearing Xiaodong Yu, Guangqiang Shi, Hui Jiang, ZhiYuan Lan, Yanlong Lin This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3689773/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract To enhance the loading capacity of the oil film and reduce its temperature, this article establishes a thrust bearing model with a triangular texture based on the modified Reynolds equation. The focus is on investigating the influence of texture parameters on both the temperature and pressure fields of the oil film. For the purpose of determining the parameter combination under the best lubrication performance, the improved multi-objective dragonfly algorithm (MODA) based on BP neural network is employed to optimize the temperature and loading capacity of oil film. The investigation revealed that the optimal lubrication performance is achieved with a texture width of approximately 0.23 mm, a texture depth of 0.5 mm, a texture number of 32 and a texture spacing of 5 mm. Under these conditions, when compared with a thrust bearing without texture, the textured thrust bearing increases its loading capacity by approximately 29% and reduces temperature by approximately 1.75 ºC. Texture parameters Modified Reynolds equation Lubrication performance MODA BP neural network Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 28 Dec, 2023 Reviewers invited by journal 28 Dec, 2023 Editor assigned by journal 10 Dec, 2023 First submitted to journal 29 Nov, 2023 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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