Modeling of the compressed-air flow impact for thermoforming simulations

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Simon Wagner - , Friedrich-Alexander-Universität Erlangen-Nürnberg (Autor:in)
  • Manuel Münsch - , Friedrich-Alexander-Universität Erlangen-Nürnberg (Autor:in)
  • Fabian Kayatz - , Fraunhofer-Institut für Verfahrenstechnik und Verpackung (Autor:in)
  • Jens Peter Majschak - , Professur für Verarbeitungsmaschinen/Verarbeitungstechnik, Fraunhofer-Institut für Verfahrenstechnik und Verpackung (Autor:in)
  • Antonio Delgado - , Friedrich-Alexander-Universität Erlangen-Nürnberg (Autor:in)

Abstract

Thermoforming is a process for the cheap mass-production of thin-walled plastic parts. A sheet of plastic is heated for increased deformability, and then deformed by overpressure into a mold with the end product’s shape. The main drawback is the inhomogeneous wall thickness distribution resulting from the common process. The authors believe that it is possible to improve these inhomogeneities by locally influencing the highly temperature-dependent material strength using directed jets of pressurized air for local cooling. As the high number of potentially influential parameters renders purely experimental parameter studies infeasible, a computational model that couples the flow of the pressurized air with the structural simulation of the deforming plastic is set up. With the combined results of experiments and simulations, a parameter study can be conducted, which allows for an optimization of air flow parameters for a more evenly distributed wall thickness.

Details

OriginalspracheEnglisch
TitelRecent Advances in Computational Engineering - Proceedings of the 4th International Conference on Computational Engineering ICCE 2017 in Darmstadt
Redakteure/-innenMarek Behr, Michael Schafer, Miriam Mehl, Barbara Wohlmuth
Herausgeber (Verlag)Springer-Verlag
Seiten163-176
Seitenumfang14
ISBN (Print)9783319938905
PublikationsstatusVeröffentlicht - 2018
Peer-Review-StatusJa

Publikationsreihe

ReiheLecture Notes in Computational Science and Engineering
Band124
ISSN1439-7358

Konferenz

Titel4th International Conference on Computational Engineering, ICCE 2017
Dauer28 - 29 September 2017
StadtDarmstadt
LandDeutschland

Schlagworte