Elías Zúñiga, AlexEstrada Diaz, Jorge Alfredo2025-08-042024-05-22Estrada Diaz, J. A. (2024). A methodology for modeling multiscale multiphysics nature that bridges basic science with sustainable manufacturing technologies using human and Artificial intelligence. [Tesis doctorado] Instituto Tecnológico y de Estudios Superiores de Monterrey. Recuperado de: https://hdl.handle.net/11285/703916https://hdl.handle.net/11285/703916https://orcid.org/0000-0002-5661-2802This dissertation deals with the modeling of multiscale multiphysics phenomena. These complex processes involve the interaction between physical occurrences of different nature, at different time and space scales, turning its description, prediction and control into a daunting task. Being pivotal technologies for the manufacturing of advanced materials, this work revolves around the complex technologies of Selective Laser Melting (SLM), electrospray, Ultrasonic Micro-Injection Molding (UMIM) and smart materials, i.e. Magneto-Rheological Elastomers (MRE). Modeling efforts are taken into action through classical yet powerful methodologies such as dimensional analysis and cutting-edge approaches such as fractal analysis and artificial intelligence, i.e., Artificial Neural Networks (ANNs) and Multiobjective Evolutionary Algorithms (MOEAs), with promising results that reflect on their ability to capture the intricate interplay of process parameters and material properties in these convoluted phenomena. Offering complementary benefits (attaining of meaningful physical insights and efficient handling computational processing operation and pattern identification in data, respectively) both approaches should be jointly exploited for handling multiscale multiphysics phenomena.TextoengopenAccesshttp://creativecommons.org/licenses/by/4.0CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA::MATEMÁTICAS::CIENCIA DE LOS ORDENADORES::INTELIGENCIA ARTIFICIALINGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::TECNOLOGÍA MÉDICA::OTRASINGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::TECNOLOGÍA DE LOS ORDENADORES::SISTEMAS DE INFORMACIÓN, DISEÑO Y COMPONENTESScienceTechnologyTesis Doctorado / doctoral ThesisEl documento de tesis contiene información que será sometida a publicación en revistas académicas.https://orcid.org/0000-0003-1842-5982Multiscale Multiphysics PhenomenaBuckingham's Pi-theoremArtificial IntelligenceGenetic Evolutionary AlgorithmsMathematical ModelingDimensional AnalysisAdditive ManufacturingUltrasonic Micro-Injection MoldingElectrospray92194157221684273