Autor según el artículo: José Carlos Santos-Ceballos, Foad Salehnia, Alfonso Romero, Xavier Vilanova
Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
Autor/es de la URV: Romero Nevado, Alfonso José / Salehnia, Foad / Santos Ceballos, José Carlos / Vilanova Salas, Javier
Resumen: In the era of man–machine interfaces, digital twins stand as a key technology, offering virtual representations of real-world objects, processes, and systems through computational models. They enable novel ways of interacting with, comprehending, and manipulating real-world entities within a virtual realm. The real implementation of graphene-based sensors and electronic devices remains challenging due to the integration complexities of high-quality graphene materials with existing manufacturing processes. To address this, scalable techniques for the in-situ fabrication of graphene-like materials are essential. One promising method involves using a CO2 laser to convert polyimide into graphene. Optimizing this graphitization process is hindered by complex parameter interactions and nonlinear terms. This article explores how these digital replicas can enhance the fabrication of laser-induced graphene (LIG) through laser simulation and machine learning methods to enable rapid single-step LIG patterning. This approach aims to create a universal simulation for all CO2 lasers, calculating optical energy flux and utilizing machine learning to control and predict LIG conductivity (ability to conduct current), morphology, and electrical resistance. The proposed procedure, integrating digital twins in the LIG production process, will avoid or reduce the preliminary tests required to determine the proper laser parameters to reach the desired LIG characteristics. Accordingly, this approach will reduce the time and costs associated with these tests and thus increase the efficiency and optimize the procedure.
Áreas temáticas: Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Letras / linguística Interdisciplinar Geografía Geociências Farmacia Engenharias iv Engenharias iii Engenharias ii Enfermagem Educação física Educação Economia Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biodiversidade Astronomia / física
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: foad.salehnia@urv.cat josecarlos.santos@urv.cat josecarlos.santos@urv.cat xavier.vilanova@urv.cat alfonsojose.romero@urv.cat
Identificador del autor: 0000-0002-6245-7933 0000-0003-3502-0813
Fecha de alta del registro: 2024-08-03
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.nature.com/articles/s41598-024-61237-6
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Scientific Reports. 14 (14): 10363-10
Referencia de l'ítem segons les normes APA: José Carlos Santos-Ceballos, Foad Salehnia, Alfonso Romero, Xavier Vilanova (2024). Application of digital twins for simulation based tailoring of laser induced graphene. Scientific Reports, 14(14), 10363-10. DOI: 10.1038/s41598-024-61237-6
DOI del artículo: 10.1038/s41598-024-61237-6
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2024
Tipo de publicación: Journal Publications