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TITLE: SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability
AUTHORS: Mario Dib; Pedro A Prates; Bernardete Ribeiro ;
PUBLISHED: 2024, SOURCE: Expert Syst. Appl., VOLUME: 235
INDEXED IN: DBLP
2
TITLE: Coupling machine learning and synthetic image DIC-based techniques for the calibration of elastoplastic constitutive models
AUTHORS: Pedro Prates; Joan F Henriques; Jose Pinto; Nelson Bastos; Antonio Andrade Campos;
PUBLISHED: 2023, SOURCE: 26th International ESAFORM Conference on Material Forming, ESAFORM 2023 in Materials Research Proceedings, VOLUME: 28
INDEXED IN: Scopus
3
TITLE: Effect of L-T and S-T orientations on fatigue crack growth in an aluminum 7050-T7451 plate  Full Text
AUTHORS: Borges, Micael F.; Antunes, Fernando V.; Jesus, Joel; Branco, Ricardo; Prates, Pedro; Neto, Diogo M.;
PUBLISHED: 2023, SOURCE: FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
INDEXED IN: Scopus WOS
4
TITLE: Load sequence effects and cyclic deformation behaviour of 7075-T651 aluminium alloy  Full Text
AUTHORS: Branco, R.; Costa, J. D.; Prates, P. A.; Berto, F.; Pereira, C.; Mateus, A.;
PUBLISHED: 2022, SOURCE: INTERNATIONAL JOURNAL OF FATIGUE, VOLUME: 155
INDEXED IN: Scopus WOS
5
TITLE: On the applicability of the cumulative strain energy density for notch fatigue analysis under multiaxial loading
AUTHORS: Branco, R.; Prates, P.; Costa, J. D.; Cruces, A.; Lopez Crespo, P.; Berto, F.;
PUBLISHED: 2022, SOURCE: THEORETICAL AND APPLIED FRACTURE MECHANICS, VOLUME: 120
INDEXED IN: Scopus WOS
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TITLE: Influence of specimen orientation on fatigue crack growth in 7050-T7451 and 2050-T8 aluminium alloys
AUTHORS: Jesus, J. S.; Antunes, F. V.; Prates, P.; Branco, R.; Antunes, P. V.; Borrego, L. P.; Neto, D. M.;
PUBLISHED: 2022, SOURCE: INTERNATIONAL JOURNAL OF FATIGUE, VOLUME: 164
INDEXED IN: Scopus WOS
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TITLE: Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations  Full Text
AUTHORS: Habraken, Anne Marie; Aksen, Toros Arda; Alves, Jose L.; Amaral, Rui L.; Betaieb, Ehssen; Chandola, Nitin; Corallo, Luca; Cruz, Daniel J.; Duchene, Laurent; Engel, Bernd; Esener, Emre; Firat, Mehmet; Frohn Soerensen, Peter; Galan Lopez, Jesus; Ghiabakloo, Hadi; Kestens, Leo A., I; Lian, Junhe; Lingam, Rakesh; Liu, Wencheng; Ma, Jun; Menezes, Luis F.; Tuan, NM; Miranda, Sara S.; Neto, Diogo M.; Pereira, Andre F. G.; Prates, Pedro A.; Reuter, Jonas; Revil Baudard, Benoit; Rojas Ulloa, Carlos; Sener, Bora; Shen, Fuhui; Van Bael, Albert; Verleysen, Patricia; Barlat, Frederic; Cazacu, Oana; Kuwabara, Toshihiko; Lopes, Augusto; Oliveira, Marta C.; Santos, Abel D.; Vincze, Gabriela; ...More
PUBLISHED: 2022, SOURCE: INTERNATIONAL JOURNAL OF MATERIAL FORMING, VOLUME: 15, ISSUE: 5
INDEXED IN: Scopus WOS
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TITLE: Recent Advances and Applications of Machine Learning in Metal Forming Processes
AUTHORS: Prates, Pedro A.; Pereira, Andre F. G.;
PUBLISHED: 2022, SOURCE: METALS, VOLUME: 12, ISSUE: 8
INDEXED IN: Scopus WOS
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TITLE: Mechanical design of ring tensile specimen via surrogate modelling for inverse material parameter identification  Full Text
AUTHORS: Ktari, Z; Leitao, C; Prates, PA; Khalfallah, A;
PUBLISHED: 2021, SOURCE: MECHANICS OF MATERIALS, VOLUME: 153
INDEXED IN: Scopus WOS
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