Impacto del fouling por sales y sedimentos en la degradación de la transferencia de calor en intercambiadores (2010–2025)
Artículo de Revisión
Autores/as
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Gianfranco Di Mattia-Castro
Carrera de Ingeniería Industrial, Facultad de Ciencias de la Industria y Producción, Universidad Técnica Estatal de Quevedo. Quevedo, Ecuador.
https://orcid.org/0009-0001-1048-9554
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Víctor Moreno-Riquero
Carrera de Ingeniería Industrial, Facultad de Ciencias de la Industria y Producción, Universidad Técnica Estatal de Quevedo. Quevedo, Ecuador.
https://orcid.org/0000-0002-1516-5823
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José Navia-Zamora
Carrera de Ingeniería Industrial, Facultad de Ciencias de la Industria y Producción, Universidad Técnica Estatal de Quevedo. Quevedo, Ecuador.
https://orcid.org/0009-0009-2442-0513
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Marco Osorio-Trávez
Carrera de Ingeniería Mecánica, Facultad de Ciencias de la Ingeniería, Universidad Técnica Estatal de Quevedo. Quevedo, Ecuador.
https://orcid.org/0009-0009-8695-959X
DOI:
https://doi.org/10.33936/riemat.v11i1.8312Palabras clave:
fouling, intercambiadores de calor, cristalización, análisis bibliométrico, aprendizaje automáticoResumen
El ensuciamiento por deposición de sales y sedimentos en intercambiadores de calor representa uno de los principales factores de degradación del desempeño térmico en la industria de procesos, con impactos directos en la eficiencia energética y los costos operativos. Este estudio tuvo como objetivo analizar, desde una perspectiva bibliométrica, la evolución, estructura y tendencias de la producción científica indexada en Scopus entre 2010 y 2025 sobre fouling por cristalización y sedimentación. Se adoptó un diseño retrospectivo con enfoque mixto, combinando indicadores de productividad, impacto y colaboración mediante Bibliometrix/Biblioshiny, junto con mapeo científico en VOSviewer para identificar redes y clústeres temáticos. El corpus final comprendió 682 artículos, evidenciando un crecimiento sostenido y una alta tasa de colaboración (97,2 % de coautoría). China, Estados Unidos y Alemania lideran la producción, mientras que un núcleo reducido de revistas concentra cerca de un tercio de los trabajos. El análisis de palabras clave reveló una transición desde enfoques experimentales centrados en resistencia térmica y cristalización hacia un paradigma dual que integra simulación computacional y, de forma emergente, aprendizaje automático. Se identifican brechas en la articulación entre ingeniería térmica y ciencia de datos, así como en la formalización del vínculo con sostenibilidad energética. Los resultados ofrecen una cartografía integral que orienta futuras líneas de investigación y decisiones estratégicas en ingeniería térmica aplicada.
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Derechos de autor 2026 Gianfranco Di Mattia-Castro, Víctor Moreno-Riquero, José Navia-Zamora, Marco Osorio-Trávez
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
