A novel concept for multi-objective optimization of composite power transmission shafts

A novel concept for multi-objective optimization of composite power transmission shafts | 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 A novel concept for multi-objective optimization of composite power transmission shafts Mohamed Nasr, Karam Y. Maalawi, Mahmoud A. EL Bayoumi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3947029/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 3 You are reading this latest preprint version Abstract Shafts made of advanced composite materials and their applications in different fields are gaining momentum due to their optimized properties. This paper presents various multi-objective optimization ( MOO ) models for the structural design of slender, thin-walled spinning shafts made of advanced composite materials. The proposed mathematical formulation ensures the attainment of simultaneous and balanced improvements in the major design objectives, including minimal mass and maximum stability against whirling and torsional buckling under behavioral and side constraints. A hybrid genetic algorithm (GA) and sequential quadratic programming (SQP) are implemented to find the needed optimal solutions. Design variables encompass the fiber volume fraction, orientation angle, and thickness of each layer of the cross-section. A case study addresses the optimization of a pinned-pinned slender shaft made of carbon/epoxy composites is presented. The new approach exhibited its capacity to overcomes the uncertainty in ranking and selecting a solution from the set of Pareto-optimal solutions as it determines a unique optimal solution that has a nearly equal optimization gains for the selected design objectives Multi objective optimization Drive shafts Composite materials Genetic algorithm Sequential quadratic programming Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 02 Mar, 2024 Editor assigned by journal 12 Feb, 2024 First submitted to journal 09 Feb, 2024 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. 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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-3947029","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":276000905,"identity":"524c3edf-3342-4207-bd3d-7536cdfe381d","order_by":0,"name":"Mohamed Nasr","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAvElEQVRIiWNgGAWjYDAC5gNgSo6BgYdYLWwJYMqYdC2JDURr0W1jYHvw48+99A3Hzx588IHBTk63gYAWs2MM7Ia9bcW5G87kJRvOYEg2NjtASMv9BjYJ3oaE3A0HcsykeRgOJG4jqOUYA5vknz8J6Qbn35CgRZqHLSHB4AYptkjLtiUYzrzxxthwhgExfgE57M2fBHm+8zmGDz5U2MkR1MLAwP8BTCmAVRoQVI4E5BtIUT0KRsEoGAUjCgAATu0+9r0pTEUAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0001-5948-2612","institution":"National Research Centre","correspondingAuthor":true,"prefix":"","firstName":"Mohamed","middleName":"","lastName":"Nasr","suffix":""},{"id":276000906,"identity":"8f77f0e3-bb95-4934-bc78-364b994c2f7f","order_by":1,"name":"Karam Y. 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