Using symbolic regression models to predict the pressure loss of non-newtonian polymer-melt flows through melt-filtration systems with woven screens / S. Pachner in INTERNATIONAL POLYMER PROCESSING, Vol. 36, N° 4 (2021)  

[article]  inINTERNATIONAL POLYMER PROCESSING > Vol. 36, N° 4 (2021) . - p. 435-450 Titre : Using symbolic regression models to predict the pressure loss of non-newtonian polymer-melt flows through melt-filtration systems with woven screens Type de document : texte imprimé Auteurs : S. Pachner, Auteur ; W. Roland, Auteur ; M. Aigner, Auteur ; C. Marschik, Auteur ; U. Stritzinger, Auteur ; J. Miethlinger, Auteur Année de publication : 2021 Article en page(s) : p. 435-450 Note générale : Appendice - Nomenclature - Bibliogr. Langues : Anglais (eng) Catégories : Armures (tissage) L'armure, dans la terminologie du tissage de textile, est le mode d'entrecroisement des fils de chaîne et des fils de trame. Il existe trois armures principales : toile, sergé et satin. À partir de ces trois armures sont fabriqués de nombreux tissus avec aussi des combinaisons des armures principales. Equations Etat fondu (matériaux) Filtration Fluides non newtoniens Polymères -- Recyclage Pression Rhéologie Simulation par ordinateur Index. décimale : 668.4 Plastiques, vinyles Résumé : When selecting a melt-filtration system, the initial pressure drop is a critical parameter. We used heuristic optimization algorithms to develop general analytical equations for estimating the dimensionless pressure loss of square and Dutch woven screens in polymer processing and recycling. We present a mathematical description – without the need for further numerical methods – of the dimensionless pressure loss of non-Newtonian polymer melt-flows through woven screens. Applying the theory of similarity, we first simplified, and then transformed into dimensionless form, the governing equations. By varying the characteristic independent dimensionless influencing parameters, we created a comprehensive parameter set. For each design point, the nonlinear governing equations were solved numerically. We subsequently applied symbolic regression based on genetic programming to develop models for the dimensionless pressure drop. Finally, we validated our models against experiments using both virgin and slightly contaminated in-house and post-industrial recycling materials. Our regression models predict the experimental data accurately, yielding a mean relative error of MRE = 13.7%. Our modeling approach, the accuracy of which we have proven, allows fast and stable prediction of the initial pressure drop of polymer-melt flows through square woven and Dutch weave screens, rendering further numerical simulations unnecessary. Note de contenu : - Non-newtonian flow analysis - Geometry - Governing equations - Theory of similarity - Numerical solution : Numerical simulation - Numerical results and discussion - Regression analysis : Symbolic regression modeling - Symbolic regression results and discussion - Experimental validation : - Table 1 : Performance of various filter media - Table 2 : Range of values of PD and n defined by minimum, maximum and step size - Table 3 : Range of values of A, D and n, defined by minimum, maximum and step size - Table 4 : Target and input variables for symbolic regression modeling - Table 5 : Mathematical building blocks provided to the heuristic optimization algorithm - Table 6 : Results of the error analysis assessing the accuracy of the models developed - Table 7 : Filtration parameters of the square-woven (SW) and Dutch-weave (DW) metal screens used - Table 8 : Results of the error analysis of the approximation models for square-weave and Dutch-weave screens DOI : https://doi.org/10.1515/ipp-2020-4019 En ligne : https://drive.google.com/file/d/13QLZw5Ek03dOo1EksPxH18yFIx-s1Fr9/view?usp=shari [...] Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=36717 [article]

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