Preliminary validation for an online configuration determination method of a thin film buckling under point contact force

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Abstract The authors previously developed an online thin film buckling configuration determination method for a mini basket typemapping catheter prototype, which incorporates eight thin film sensor strips. In the prior study, no external force was appliedto the thin film, and only axial displacement was adjusted to induce buckling in the thin film. Extending this prior work, apreliminary methodological validation is conducted for an online configuration determination method of thin film buckling undera point contact force. The overall thin film configuration determination problem is formulated as a constrained optimizationproblem, involving five variables and five equality constraint functions. Before developing an actual online optimizationsolver, preliminary numerical calculations, Ansys simulations, and experiments are performed to verify the proposed problemformulation. The comparison between the numerical precalculations, Ansys simulations, and experimental results demonstratedthat the proposed problem formulation is consistent with Ansys simulations and experimental outcomes. This indicates that theproposed formulation is capable of calculating accurate solutions using appropriate optimization methodologies.
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Preliminary validation for an online configuration determination method of a thin film buckling under point contact force | 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 Article Preliminary validation for an online configuration determination method of a thin film buckling under point contact force Yeoun-Jae Kim, Daehan Wi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5321727/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 30 Dec, 2024 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract The authors previously developed an online thin film buckling configuration determination method for a mini basket typemapping catheter prototype, which incorporates eight thin film sensor strips. In the prior study, no external force was appliedto the thin film, and only axial displacement was adjusted to induce buckling in the thin film. Extending this prior work, apreliminary methodological validation is conducted for an online configuration determination method of thin film buckling undera point contact force. The overall thin film configuration determination problem is formulated as a constrained optimizationproblem, involving five variables and five equality constraint functions. Before developing an actual online optimizationsolver, preliminary numerical calculations, Ansys simulations, and experiments are performed to verify the proposed problemformulation. The comparison between the numerical precalculations, Ansys simulations, and experimental results demonstratedthat the proposed problem formulation is consistent with Ansys simulations and experimental outcomes. This indicates that theproposed formulation is capable of calculating accurate solutions using appropriate optimization methodologies. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 30 Dec, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 22 Nov, 2024 Reviews received at journal 22 Nov, 2024 Reviews received at journal 22 Nov, 2024 Reviewers agreed at journal 12 Nov, 2024 Reviewers agreed at journal 12 Nov, 2024 Reviewers invited by journal 11 Nov, 2024 Editor assigned by journal 11 Nov, 2024 Editor invited by journal 11 Nov, 2024 Submission checks completed at journal 11 Nov, 2024 First submitted to journal 23 Oct, 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. 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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