Design engineering and simulation assisted by artificial intelligence
DOI:
https://doi.org/10.59282/reincisol.V3(6)2494-2521Keywords:
Artificial intelligence, engineering, computer aided design, innovation, automation.Abstract
This review article examines the impact of Artificial Intelligence (AI) on design and simulation engineering processes, emphasizing the transformation that the integration of advanced technologies in these fields has generated. The central objective of the study is to understand how AI has influenced the way products and systems are designed and optimized, accelerating processes and improving the quality of results. To perform this analysis, the SCOPUS bibliographic database was used. Specific criteria were established, including the selection of documents in Spanish and English and their classification into "article" and "review" types, resulting in the compilation of 4,649 academic articles. These data were analyzed using RStudio and the Bibliometrix application. The analysis reveals that AI has not only accelerated the ideation process, but has also enabled engineers to explore a broader spectrum of possibilities, making it easier to identify innovative solutions and optimize product and system development. Advances in AI algorithms and their integration into simulation tools have transformed the way design challenges are addressed, enabling the creation of more complex and sophisticated designs in less time and with greater accuracy. This approach not only increases the efficiency of processes, but also opens new opportunities for innovation, strengthening the ability of professionals to develop solutions that were previously unattainable.
Downloads
Metrics
References
Abbasi, M., Davis, M., Heredia, R., & Camacho, D. (2024). Artificial intelligence: a look back to the future in university EDUCATION. Proceedings of International Structural Engineering and Construction, 11(1). https://doi.org/10.14455/ISEC.2024.11(1).EPE-11
Aguilar, D., Borja, M., Cadena, E., Endara, S., Sánchez, D., Jiménez, D., Castillo, D., Álvarez, D., Troncoso, A., Izurieta, D., Veintimilla, S., Flores, M., Rueda, D., Gangotena, V., Sánchez, N., Aliatis, R., & Apolo, S. (2023). Inteligencia artificial en la educación médica: Contexto Latinoamericano. Metro Ciencia, 31(2), Article 2. https://doi.org/10.47464/MetroCiencia/vol31/2/2023/21-34
Akhtar, Z. (2024). Artificial intelligence (AI) within manufacturing: An investigative exploration for opportunities, challenges, future directions. Metaverse, 5, 2731. https://doi.org/10.54517/m.v5i2.2731
Álvarez, S., Salazar, O. M., Ovalle, D. A., Álvarez, S., Salazar, O. M., & Ovalle, D. A. (2020). Modelo de juego serio colaborativo basado en agentes inteligentes para apoyar procesos virtuales de aprendizaje. Formación universitaria, 13(5), 87-102. https://doi.org/10.4067/S0718-50062020000500087
Basáez, E., & Mora, J. (2022). Salud e inteligencia artificial: ¿cómo hemos evolucionado? Revista Médica Clínica Las Condes, 33(6), 556-561. https://doi.org/10.1016/j.rmclc.2022.11.003
Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., Filar, B., Anderson, H., Roff, H., Allen, G. C., Steinhardt, J., Flynn, C., hÉigeartaigh, S. Ó., Beard, S., Belfield, H., Farquhar, S., … Amodei, D. (2018, febrero 20). The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. arXiv.Org. https://arxiv.org/abs/1802.07228v1
Cedeño, H., Muñoz, Á., & Lourido, M. (2020). Uso de la inteligencia artificial en el diseño de interiores: Artículo de revisión bibliográfica. COGNIS: Revista Científica de Saberes y Transdisciplinariedad - ISSN: 2959-5703, 1(2), Article 2.
Chinda, F. (2023). The Impact of Artificial Intelligence on Engineering Innovations. International journal of applied research and technology, Vol. 12, No. 7, 22-28.
Coloma, J. A., Vargas, J. A., Sanaguano, C. A., & Geovanny, Á. (2020). Inteligencia artificial, sistemas inteligentes, agentes inteligentes. RECIMUNDO: Revista Científica de la Investigación y el Conocimiento, 4(2), 16-30. https://doi.org/10.26820/recimundo/4.(2).mayo.2020.16-30
Crawley, E. F., Malmqvist, J., Östlund, S., Brodeur, D. R., & Edström, K. (2014). Rethinking Engineering Education: The CDIO Approach. Springer International Publishing. https://doi.org/10.1007/978-3-319-05561-9
Dym, C., Little, P., & Orwin, E. (2013). Engineering Design: A Project-Based Introduction. John Wiley & Sons.
Friedrich, S., Schreibauer, M., & Buss, M. (2019). Least-squares policy iteration algorithms for robotics: Online, continuous, and automatic. Engineering Applications of Artificial Intelligence, 83, 72-84. https://doi.org/10.1016/j.engappai.2019.04.001
García, F. J., Llorens, F., & Vidal, J. (2024). La nueva realidad de la educación ante los avances de la inteligencia artificial generativa. RIED-Revista Iberoamericana de Educación a Distancia, 27(1). https://doi.org/10.5944/ried.27.1.37716
Gomes, J. (2022). The impact of artificial intelligence in the rail industry [masterThesis]. https://repositorio.iscte-iul.pt/handle/10071/25014
Grieves, M. (2015). Digital Twin: Manufacturing Excellence through Virtual Factory Replication.
Hidalgo, C., Llanos, J., & Bucheli, V. (2021). Una revisión sistemática sobre aula invertida y aprendizaje colaborativo apoyados en inteligencia artificial para el aprendizaje de programación. Tecnura, 25(69), 196-214. https://doi.org/10.14483/22487638.16934
Mendoza, J. G., Quispe, M. B., Muñoz, S. P., Mendoza, J. G., Quispe, M. B., & Muñoz, S. P. (2022). Una revisión sobre el rol de la inteligencia artificial en la industria de la construcción. Ingeniería y competitividad, 24(2). https://doi.org/10.25100/iyc.v24i2.11727
Ocaña, Y., Valenzuela, L., & Garro, L. (2019). Inteligencia artificial y sus implicaciones en la educación superior. Propósitos y Representaciones, 7(2), 536-568. https://doi.org/10.20511/pyr2019.v7n2.274
Rafael, W. F., Vilcherres, P., Muñoz, S., Tuesta, V., & Mejía, H. (2022). Modelamiento de procesos hidrológicos aplicando técnicas de inteligencia artificial: Una revisión sistemática de la literatura. Iteckne, 19(1), 46-60. https://doi.org/10.15332/iteckne.v19i1.2645
Ramírez, A. (2019). Futuro sonoro. Aproximación teórica emergente transdisciplinar al futuro de la música a partir de la aplicación de inteligencia artificial evolutiva hacia nuevos campos sonoros de creación abierta en el marco de las ciencias de la complejidad. Repositorio Institucional de la Universidad Pedagógica Nacional. http://hdl.handle.net/20.500.12209/9490.
Regenwetter, L., Nobari, A., & Ahmed, F. (2022). Deep Generative Models in Engineering Design: A Review. Journal of Mechanical Design, 144(071704). https://doi.org/10.1115/1.4053859
Regona, M., Yigitcanlar, T., Xia, B., & Li, R. (2022). Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review. Journal of Open Innovation Technology Market and Complexity, 8, 45. https://doi.org/10.3390/joitmc8010045
Santos, K., Pilamunga, E., Villarreal, D., & Ortiz, L. (2023). Integración de tecnologías emergentes en el diseño industrial para una gestión más eficiente del transporte y la logística. Polo del Conocimiento: Revista científico - profesional, 8(9 (SEPTIEMBRE 2023)), 1204-1218.
Soto, J. Á. (2023). La ‘velocidad de escape’ de la IA y el futuro del trabajo. Nuevas Tendencias, 110, 37-39. https://revistas.unav.edu/index.php/nuevas-tendencias/article/view/45027
Thakur, A., Soklaridis, S., Crawford, A., Mulsant, B., & Sockalingam, S. (2021). Using Rapid Design Thinking to Overcome COVID-19 Challenges in Medical Education. Academic Medicine, 96(1), 56. https://doi.org/10.1097/ACM.0000000000003718
Tobar, R., Gao, Y., Mas, J. F., & Cambrón-Sandoval, V. H. (2023). Clasificación de uso y cobertura del suelo a través de algoritmos de aprendizaje automático: Revisión bibliográfica. Revista de Teledetección, 62, 1-19. https://doi.org/10.4995/raet.2023.19014
Ulrich, K., Eppinger, S., & Yang, M. (2019). Product Design and Development. https://www.mheducation.com/highered/product/product-design-development-ulrich-eppinger/M9781260043655.html
Valdez, A., Aréchiga, D., & Daza Marco, T. (2024). Inteligencia artificial y su uso en las campañas electorales en sistemas democráticos. Revista Venezolana de Gerencia, 29(105), 63-76. https://doi.org/10.52080/rvgluz.29.105.5
Vázquez, M. L., Jara, R. E., Riofrio, C. E., & Teruel, K. P. (2018). Facebook como herramienta para el aprendizaje colaborativo de la inteligencia artificial. Didáctica y Educación ISSN 2224-2643, 9(1), Article 1.
Vélez, L. G. (2021). Inteligencia artificial y desempleo. Revista Científica Multidisciplinaria HEXACIENCIAS. ISSN: 3028-8657, 1(2), Article 2.
Vlah, D., Kastrin, A., Povh, J., & Vukašinović, N. (2022). Data-driven engineering design: A systematic review using scientometric approach. Advanced Engineering Informatics, 54. https://doi.org/10.1016/j.aei.2022.101774
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Paola Gabriela Enríquez Yépez, Washington Eduardo Lascano Tacuri, Mayra Alejandra Lizano Jácome, Jaime Marcelo Altamirano Hidalgo
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.