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| Naji, M. |
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| Petrov, R. H. | Madrid |
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Chhabra, Deepak
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Publications (2/2 displayed)
- 2023Optimization of Dual Extrusion Fused Filament Fabrication Process Parameters for 3D Printed Nylon-Reinforced Composites: Pathway to Mobile and Transportation Revolutioncitations
- 2023Multidisciplinary topology and material optimization approach for developing patient-specific limb orthosis using 3D printingcitations
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article
Optimization of Dual Extrusion Fused Filament Fabrication Process Parameters for 3D Printed Nylon-Reinforced Composites: Pathway to Mobile and Transportation Revolution
Abstract
<jats:p><div>Nylon polymer with an optimal blend of Kevlar, fiberglass, and high-speed, hightemperature (HSHT) Fiberglass offers improved characteristics such as flexuralstrength, wear resistance, electrical insulation, shock absorption, and a lowfriction coefficient. For this reason, the polymer composite manufactured bycombining HSHT, Kevlar, and fiberglass with nylon as base material will expandthe uses of nylon in the aerospace, automotive, and other industrialapplications related to ergonomic tools, assembly trays, and so forth. Theproposed work was carried out to investigate the continuous fiber reinforcement(CFR) in nylon polymer using a dual extrusion system. Twenty experimental runswere designed using a face-centered central composite design (FCCD) approach toanalyze the influence of significant factors such as reinforcement material,infill pattern, and fiber angle on the fabricated specimen as per AmericanSociety for Testing Materials (ASTM) standards. The tensile strength, percentageelongation, and surface roughness of each test specimen (ASTM) have beeninvestigated using the universal testing machine (UTM) and a surface roughnesstester. A set of regression equations connecting process input factors andoutput features have been derived using the response surface methodology (RSM).In addition, the MOGA-ANN method is employed to achieve the multi-responsetargets. The results show that the best tensile strength and surface roughnessare achieved with a 64.5-degree fiber angle, fiberglass CFR, and a triangularinfill pattern, while the best balance and optimal response are achieved with a49.2575-degree fiber angle, a rectangular fill pattern, and fiberglassreinforcement using the MOGA-ANN evolutionary hybrid algorithm. With MOGA-ANN,the least surface roughness of 1.43158 microns, maximum tensile strength, andpercentage elongation of 37.869 MPa and 51.05% were attained at theseparameters, and the same has been validated experimentally.</div></jats:p>