Browsing by Author "c4d2d7f81f05195844a79450b61e8b0d"
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Efecto de la separación fibra-matriz sobre las propiedades mecánicas de una viga forjada en poliamida reforzada con fibra de vidrio
Baskaran, Maider; Morales, Unai; Esnaola, Aritz; Aretxabaleta, Laurentzi; Aurrekoetxea, Jon; Olaziregi Cuevas, Udane (Scipedia, 2022)In the present work, ribbed beams have been manufactured by forging fiberglassreinforced polyamide using two different temperatures. The higher processing temperature studied (300 ºC) ensures the filling of the mold in the ... -
Effect of voids on the impact properties of Non-Crimp fabric carbon/epoxy laminates manufactured by liquid composite Moulding
Mendikute, Julen; Baskaran, Maider; Aretxabaleta, Laurentzi; Aurrekoetxea, Jon (Elsevier, 2022)A great effort has been made to quantify the detrimental effect of voids on CFRP, nevertheless, the effect on impact properties has been barely studied and when it has been considered, it has always been for prepeg materials ... -
Impact performance comparison of carbon fiber reinforced polyamide 6 and fast-curing epoxy composites manufactured by resin transfer molding
Baskaran, Maider; de la Calle, Amaia; Harismendy, Isabel; García Arrieta, Sonia; Elizetxea, Cristina; Aretxabaleta, Laurentzi; Aurrekoetxea, Jon (John Wiley and Sons Inc, 2024)In the present paper, we manufactured carbon fiber-reinforced polyamide-6 composite (CF-PA6) by resin transfer molding and compared their impact performance with an equivalent automotive grade epoxy-matrix composite ... -
Impact performance prediction of as-manufactured Resin Transfer Moulding composites using Machine Learning based Digital Twin
Mendikute, Julen (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)The use of lightweight materials has demonstrated to be very energy efficient in the transport sector, reducing the consumption of fossil fuels and increasing the range of electric cars. Carbon fibre reinforced polymers ... -
Impregnation quality diagnosis in Resin Transfer Moulding by machine learning
Mendikute, Julen; Plazaola Madinabeitia, Joanes; Baskaran, Maider; Zugasti, Ekhi; Aretxabaleta, Laurentzi; Aurrekoetxea, Jon (Elsevier Ltd., 2021)In recent years, several optimization strategies have been developed which reduce the overall defectiveness of the RTM manufactured part. RTM filling simulations showed that, even using optimized injection strategies, local ... -
Integrating additively manufactured continuous glass fibre inserts in compression moulding: A novel approach to mitigating fibre–matrix separation effect
Olaziregi Cuevas, Udane; Baskaran, Maider; Esnaola, Aritz; Aurrekoetxea, Jon (Elsevier, 2026)This study presents a novel approach to mitigate fibre–matrix separation defects in compression-moulded thermoplastic composite components by integrating additively manufactured (3D-printed) continuous fibre-reinforced ... -
Optimización del proceso de Compression Resin Transfer Moulding (CRTM) mediante técnicas experimentales y simulación
Baskaran, Maider (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2017)The environmental protection, with special emphasis on CO2 emissions reduction, is a growing demand that the transport industry has to fulfill. Carbon fibre reinforced polymers (CFRP) are interesting candidates as they can ... -
Optimization of the CRTM process by means of monitoring techniques
Baskaran, Maider; Aretxabaleta, Laurentzi; Sarrionandia, Mariasun; Aurrekoetxea, Jon; Dueñas, A. (Scipedia, 2018)In this work the feasability of the monitoring system, composed of flow-rate and injection pressure sensors, in addition to the pressure sensors integrated in the mold, is demonstrated to determine the optimal process ... -
Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models
Mendikute, Julen; Baskaran, Maider; Llavori, Inigo; Zugasti, Ekhi; Aretxabaleta, Laurentzi; Aurrekoetxea, Jon (Elsevier, 2023)The main objective of the present paper is to demonstrate the feasibility of machine-learning-based surrogate models for predicting low-velocity impact behaviour considering void content and location generated during the ... -
Simulation and experimental validation of the effect of material and processing parameters on the injection stage of compression resin transfer molding
Baskaran, Maider; Aretxabaleta, Laurentzi; Mateos, Modesto; Aurrekoetxea, Jon (Wiley, 2018)The effects of gap thickness, injection flow rate, overflow percentage, initial fiber content, and resin viscosity on the resin distribution at the end of the injection stage of compression resin transfer molding have been ...
