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A generalized 2D output model of polymer melt flow in single-screw extrusion / S. Pachner in INTERNATIONAL POLYMER PROCESSING, Vol. XXXII, N° 2 (05/2017)
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Titre : A generalized 2D output model of polymer melt flow in single-screw extrusion Type de document : texte imprimé Auteurs : S. Pachner, Auteur ; B. Löw-Baselli, Auteur ; M. Affenzeller, Auteur ; Jürgen Miethlinger, Auteur Année de publication : 2017 Article en page(s) : p. 209–216 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Ecoulement bidimensionnel
Etat fondu (matériaux)
Extrudeuse monovis
Fluides non newtoniens
Matières plastiques -- Extrusion
Modèles mathématiques
RhéologieIndex. décimale : 668.4 Plastiques, vinyles Résumé : The multidimensional output-pressure behavior of non-Newtonian fluids in single-screw extrusion can only be determined by using numerical methods. We present two methods which employ mathematical models building on analytic equations developed using an evolutionary heuristic optimization algorithm. Both allow fast and stable calculation of the 2-dimensional throughput–pressure gradient relationship of single-screw extruders, rendering cost-intensive CFD simulations of the output-pressure behavior redundant. A performed error analysis showed that our methods yield good approximations of the numerically determined data. Note de contenu : - STATE OF THE ART
- MODELING : Symbolic regression - Developing analytic equations
- RESULTS AND DISCUSSIONDOI : 10.3139/217.3326 En ligne : https://drive.google.com/file/d/1rlBYGc0AvsIdyuok0sEu3t4-HSmMzKOR/view?usp=drive [...] Format de la ressource électronique : Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=28500
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Code-barres Cote Support Localisation Section Disponibilité 18872 - Périodique Bibliothèque principale Documentaires Disponible 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)
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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 ordinateurIndex. 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 screensDOI : 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 : Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=36717
in INTERNATIONAL POLYMER PROCESSING > Vol. 36, N° 4 (2021) . - p. 435-450[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 23734 - Périodique Bibliothèque principale Documentaires Disponible