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Characterization of Mechanical Properties of Materials Composed of Epoxy Resin Reinforced with Carbon Fiber and Polyurethane Foam, Epoxy Resin Reinforced with Carbon Fiber and Aluminum Honey-Comb and Polyester Resin Reinforced with Glass Fiber with Polyurethane Foam for an Electric Sports Vehicle for Academic Purposes

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1326))

Abstract

In the present work, the main objective is to characterize the mechanical properties of composites materials such as epoxy resin reinforced with carbon fiber and polyurethane foam (ER-CP), epoxy resin reinforced with carbon fiber and aluminum honeycomb (ER-CA), and polyester resin reinforced with glass fiber and polyurethane foam (PR-GP), that will allow selecting the most accurate material for the future construction of parts for a prototype electric vehicle for academic competitions, taking into account the impact resistance, deformation for flexure charges and the cost. To obtain the variables, identification is required by the performance of mechanic tests like flexion and impact. The investigation begins with the manufacture of all test tubes for mechanical flexural and impact tests according to ASTM C393 and ASTM D6110 respectively. Finally, the analysis of each test is carried out according to the criteria of resistance, weight, and cost to select the most precise material. The experimental evaluation found that the composite material with the best performance as a proposal for use in applications of an electric sports vehicle in academic competitions is PR-GP.

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Correspondence to D. C. Dulcey-Diaz .

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Dulcey-Diaz, D.C., Lengerke-Pérez, O., Rincón-Quintero, A.D., Sandoval-Rodriguez, C.L., Cardenas-Arias, C.G., Castañeda-Flórez, C.A. (2021). Characterization of Mechanical Properties of Materials Composed of Epoxy Resin Reinforced with Carbon Fiber and Polyurethane Foam, Epoxy Resin Reinforced with Carbon Fiber and Aluminum Honey-Comb and Polyester Resin Reinforced with Glass Fiber with Polyurethane Foam for an Electric Sports Vehicle for Academic Purposes. In: Botto-Tobar, M., Cruz, H., Díaz Cadena, A. (eds) Artificial Intelligence, Computer and Software Engineering Advances. CIT 2020. Advances in Intelligent Systems and Computing, vol 1326. Springer, Cham. https://doi.org/10.1007/978-3-030-68080-0_30

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