A Data-driven Framework Combining Ahp-topsis and Rsm-based Desirability for Optimal Hybrid Composite Laminate Selection

A Data-driven Framework Combining Ahp-topsis and Rsm-based Desirability for Optimal Hybrid Composite Laminate Selection | 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 Data-driven Framework Combining Ahp-topsis and Rsm-based Desirability for Optimal Hybrid Composite Laminate Selection Rajesh Kumar Dewangan, Pankaj Kumar Gupta This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6790438/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study advances the design of high-performance hybrid composites by integrating experimental characterization, multi-criteria decision-making, and statistical optimization. Epoxy-based composites reinforced with jute (J), glass (G), and carbon (C) fibers were fabricated in six distinct stacking sequences and evaluated for tensile strength, flexural strength, tensile modulus, flexural modulus, and break strain. The C5 configuration, featuring carbon fibers on the outer layers and glass fibers internally, demonstrated exceptional flexural strength (227 MPa) and tensile modulus (7.79 GPa), underscoring the critical role of fiber placement in optimizing mechanical performance. While C5 exhibited a marginal reduction in tensile strength (3.7% lower than C1), its balanced properties validated the efficacy of hybrid architectures. AHP-TOPSIS analysis ranked configurations using weighted mechanical criteria, identifying CG4C as optimal for balanced performance. To validate and refine this selection, Response Surface Methodology (RSM) was employed to model nonlinear relationships between stacking parameters and mechanical responses. High predictive accuracy (R² > 0.90 for modulus and break strain) and desirability-based optimization confirmed C5’s superiority, achieving a composite desirability score of 0.57. This work establishes a novel framework bridging decision-theoretic ranking (AHP-TOPSIS) and statistical modeling (RSM), demonstrating their synergistic utility in composite design. The methodology not only identifies optimal configurations but also quantifies trade-offs between strength, stiffness, and ductility, offering a scalable pathway for developing sustainable, application-specific hybrid composites. By validating rankings against RSM-predicted performance regions, this approach enhances confidence in material selection processes for structural and high-stiffness applications in aerospace, automotive, and construction industries. Jute-Glass-Carbon Fiber Hybrid Polymer Composite Mechanical Properties AHP-TOPSIS Response Surface Methodology (RSM) Desirability function Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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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Epoxy-based composites reinforced with jute (J), glass (G), and carbon (C) fibers were fabricated in six distinct stacking sequences and evaluated for tensile strength, flexural strength, tensile modulus, flexural modulus, and break strain. The C5 configuration, featuring carbon fibers on the outer layers and glass fibers internally, demonstrated exceptional flexural strength (227 MPa) and tensile modulus (7.79 GPa), underscoring the critical role of fiber placement in optimizing mechanical performance. While C5 exhibited a marginal reduction in tensile strength (3.7% lower than C1), its balanced properties validated the efficacy of hybrid architectures. AHP-TOPSIS analysis ranked configurations using weighted mechanical criteria, identifying CG4C as optimal for balanced performance. To validate and refine this selection, Response Surface Methodology (RSM) was employed to model nonlinear relationships between stacking parameters and mechanical responses. High predictive accuracy (R\u0026sup2; \u0026gt; 0.90 for modulus and break strain) and desirability-based optimization confirmed C5\u0026rsquo;s superiority, achieving a composite desirability score of 0.57. This work establishes a novel framework bridging decision-theoretic ranking (AHP-TOPSIS) and statistical modeling (RSM), demonstrating their synergistic utility in composite design. The methodology not only identifies optimal configurations but also quantifies trade-offs between strength, stiffness, and ductility, offering a scalable pathway for developing sustainable, application-specific hybrid composites. 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