Zerrendatu honen arabera: egilea "258801e789092df35406fc9d07e50998"
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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 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 ... -
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 ...
