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Analysis of institutional authors

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October 21, 2021
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A predictive model for the industrial air-impingement drying of resin impregnated paper

Publicated to: APPLIED THERMAL ENGINEERING. 199 117602- - 2021-11-25 199(), DOI: 10.1016/j.applthermaleng.2021.117602

Authors:

Martín, E; Viéitez, I; Varas, F
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Affiliations

Inst Tecnol Matemat Ind ITMATI, Colegio San Xerome, Praza Obradoiro S-N, Santiago De Compostela 15782, Spain - Author
Univ Politecn Madrid, Dept Matemat Aplicada Ingn Aeroespacial, Escuela Tecn Super Ingn Aeronaut & Espacio, Plaza Cardenal Cisneros 3, Madrid 28040, Spain - Author
Univ Vigo, Dept Ingn Mecan Maquinas & Motores Term & Fluidos, Escuela Ingn Ind, Campus Marcosende, Vigo 36310, Spain - Author
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Abstract

Industrial drying lines of resin-impregnated paper are formed by contiguous furnaces where hot air jets impinge on the surface of the moving paper sheet. The number of production parameters that conditions the process is very high, making the final drying prediction, and the optimal adjustment of the production parameters, very complex tasks. A novel numerical tool for the fast prediction of this industrial drying is presented. The model, obtained from local mass and energy equations for the paper sheet, and fed with results from three-dimensional computational fluid dynamic simulations and thermo-gravimetric tests, determines the evolution of the paper weight along the line for any given combination of production parameters: paper velocity, furnaces air temperatures and mass flows, among others. The model is validated in an industrial line with 11 furnaces, 2 impregnation stages, and more than 150 adjustable operational input parameters, leading to relative errors in the predicted paper temperature evolution and final paper weight of less than 7% and 1%, respectively. Likewise, the model coupling with an optimization tool is also presented to show its capabilities on selecting the best production parameters for prescribed conditions, making the model a useful tool in the framework of the increasingly relevant role of mathematical models in industry.
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Keywords

evaporationheat transferimpregnated paper dryingindustrial impingement dryingmass-transferoptimization modelspore-networkporous materialssectionsimulationstrategysurfacetransportFast predictive modelHeat transferHigher machine speedImpregnated paper dryingIndustrial impingement dryingOptimization models

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal APPLIED THERMAL ENGINEERING due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position 10/137, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Mechanical. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • WoS: 7
  • Scopus: 7
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 22 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/86722/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 134
  • Downloads: 32
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (VARAS MERIDA, FERNANDO).

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