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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Faculty Publications</text>
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    <name>Article</name>
    <description>Faculty Publications -Articles</description>
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          <name>Creator</name>
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              <text>Alagarsamy, Sivasamy; Seshadhri, Venugopal; Packkirisamy, Vignesh; Muruganandham, Rajagopal; Chanakyan, Chandrasekaran</text>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>Hybrid response surface methodologyparticle swarm optimization framework for predictive modeling and tensile strength optimization of PLA bio-composites</text>
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          <name>Date</name>
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              <text>01-01-2026</text>
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          <name>Source</name>
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            <elementText elementTextId="218713">
              <text>Journal of Thermoplastic Composite Materials;</text>
            </elementText>
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          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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              <text>&lt;a href="https://doi.org/10.1177/08927057261424864" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/08927057261424864&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105029585399?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105029585399?origin=resultslist&lt;/a&gt;</text>
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              <text>Alagarsamy S., Department of Mechanical Engineering, Mahath Amma Institute of Engineering &amp;amp; Tech, Pudukkottai, India; Seshadhri V., Department of Mechanical Engineering, Excel Engineering College, Komarapalayam, India; Packkirisamy V., Centre for Sustainable Materials and Surface Metamorphosis, Chennai Institute of Technology, Kundrathur, India; Muruganandham R., School of Business and Management, Christ University, Karnataka, Bangalore, India; Chanakyan C., Department of Mechanical Engineering, Global Academy of Technology, Bengaluru, India</text>
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              <text>Developing mechanically robust biodegradable composites is critical for next-generation orthopedic support devices. Although polylactic acid (PLA) is widely used in additive manufacturing, incorporating fillers can lead to reduced tensile performance when interfacial bonding with the matrix is inadequate. This study aims to enhance the mechanical performance of 3D-printed PLA reinforced with 2wt% rice husk-derived silica (SiO2) through optimized post-annealing. A hybrid statisticalcomputational framework combining Response Surface Methodology (RSM) and Particle Swarm Optimization (PSO) was implemented to identify optimal print speed, annealing temperature, and annealing time. PSO predicted the optimal conditions as 50mm/s, 90.90C, and 60min, respectively, corresponding to a projected ultimate tensile strength (UTS) of 54.65MPa. Confirmation experiments validated the prediction, yielding a mean UTS of 54.49MPa with an error below 1%. Scanning electron microscopy revealed improved interlayer fusion and enhanced ductility in the optimized samples relative to unoptimized ones. Overall, the integration of RSM and PSO effectively refined post-annealing conditions without modifying material composition, demonstrating a viable strategy for strengthening PLA-based biocomposites. The proposed framework provides a practical route for tailoring mechanical properties in biomedical additive manufacturing, particularly for load-bearing orthopedic applications.  The Author(s) 2026</text>
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          <name>Subject</name>
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              <text>Fused deposition modeling (FDM); particle swarm optimization (PSO); post-annealing; response surface methodology (RSM); rice husk derived SiO&lt;sub&gt;2&lt;/sub&gt;</text>
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          <name>Publisher</name>
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              <text>SAGE Publications Ltd</text>
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              <text>ISSN: 8927057; CODEN: JTMAE</text>
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              <text>English</text>
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              <text>Article</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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              <text>online</text>
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