Modeling the Performance of a Single Rotor Row in a Turbomolecular Pump Using the TPMC Method: Effects of Operational and Geometric Variables

Modeling the Performance of a Single Rotor Row in a Turbomolecular Pump Using the TPMC Method: Effects of Operational and Geometric Variables | 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 Modeling the Performance of a Single Rotor Row in a Turbomolecular Pump Using the TPMC Method: Effects of Operational and Geometric Variables Maryam Hosseinzadeh Sereshgi, Reza Ebrahimi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3817402/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 03 May, 2024 Read the published version in Heat and Mass Transfer → Version 1 posted 7 You are reading this latest preprint version Abstract Turbo-molecular pumps are widely used in industries and scientific studies in areas such as semiconductors and sedimentation. In; such pumps, the influence of the geometric characteristics and operating conditions on performance is of interest to researchers. A single-row rotor of a turbo-molecular pump was simulated, and the test particle Monte Carlo method was used to investigate the effects of blade spacing, angle, number, and length; as well as operating conditions on performance. The maximum compression ratio and pumping speed were calculated. The pump’s performance was studied for 12, 24, 36, and 48 blades in a single-row rotor at angles of 15, 20, and 30 degrees with a clearance of 0.015. We were increasing the gap from 0.015 to 0.025 and 0.035 examined across rotors with 12 to 48 blades, a blade speed ratio of 3.5, and a blade angle of 15 degrees. To validate the results, the numerical values obtained for 36 blades, 30-degree blade angle, and 0.015 clearance were compared to available experimental results, yielding good agreement. The results of this simulation are intended to cover cases of interest for design calculations. Turbo-molecular pump Test Particle Monte Carlo method Single row rotor Performance Blade number Blade speed ratio Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 03 May, 2024 Read the published version in Heat and Mass Transfer → Version 1 posted Editorial decision: Revision requested 29 Feb, 2024 Reviews received at journal 05 Feb, 2024 Reviewers agreed at journal 20 Jan, 2024 Reviewers invited by journal 19 Jan, 2024 Editor assigned by journal 10 Jan, 2024 Submission checks completed at journal 04 Jan, 2024 First submitted to journal 28 Dec, 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. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3817402","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":265126868,"identity":"d81c8367-ce9e-4fa7-b7d0-12423504d0f6","order_by":0,"name":"Maryam Hosseinzadeh Sereshgi","email":"","orcid":"","institution":"K. N. 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