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Zerrendatu honen arabera: non argitaratua "Composites Part B: Engineering"

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Emaitzak orrialdeko:

6-tik 1-6 emaitza erakusten

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    • A comprehensive experimental investigation of the rate-dependent interlaminar delamination behaviour of CFRP composites 

      Erice, Borja (Elsevier, 2023)
      The paper presents a systematic experimental study of the interlaminar delamination behaviour of a carbon composite subjected to Mode I, Mode II and Mixed-mode delamination at both quasi-static (QS) and high-rate (HR) ...
    • An analytical model of through-thickness photopolymerisation of composites: Ultraviolet light transmission and curing kinetics 

      Tena Merino, Iosu; Sarrionandia, Mariasun; Aurrekoetxea, Jon (Elsevier, 2020)
      In this paper, a kinetic model able to predict the evolution of the through-thickness degree of cure of ultraviolet (UV) cured composites has been developed and validated. The kinetic model, which is based on the autocatalytic ...
    • Design and characterisation of cellular composite structures for automotive crashboxes manufactured by out of die ultraviolet cured pultrusion 

      Sáenz Domínguez, Iván; Tena Merino, Iosu; Esnaola, Aritz; Sarrionandia, Mariasun; Aurrekoetxea, Jon (Elsevier B.V., 2019-03-01)
      The present paper analyses the feasibility of designing a honeycomb-like crash-box, as a cellular structure, based on data obtained from the characterisation of the building block. In order to generalise the conclusions ...
    • 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 ...
    • Quasi-static and dynamic crush behaviour of 3D printed thin-walled profiles reinforced with continuous carbon and glass fibres 

      Morales, Unai; Esnaola, Aritz; Iragi, Mikel; Aretxabaleta, Laurentzi; Aurrekoetxea, Jon (Elsevier, 2021)
      The present paper investigates the suitability of cFF printed material and technologies for crashworthiness applications. To this end, the quasi-static and dynamic crush behaviour of 3D printed thin-walled hollow profiles ...

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