TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Direct thermoplastic melt impregnation of carbon fibre fabrics by injection moulding
 
Options

Direct thermoplastic melt impregnation of carbon fibre fabrics by injection moulding

Publikationstyp
Conference Paper
Date Issued
2016-06
Sprache
English
Author(s)
Studer, Julia  
Dransfeld, Clemens  
Fiedler, Bodo  orcid-logo
Institut
Kunststoffe und Verbundwerkstoffe M-11  
TORE-URI
http://hdl.handle.net/11420/5879
Citation
European Conference on Composite Materials (ECCM): (2016-06)
Contribution to Conference
European Conference on Composite Materials, ECCM 2016  
In this paper the influence of the fabric architecture on the processing window for a pressure controlled through-thickness impregnation of dry fabrics with thermoplastic melt is discussed by measuring and implementing the compaction and permeability behaviour of two reference fabrics in a numerical analysis of the impregnation process. For the two reference fabric optimum pressure and target fibre volume fraction are defined, and the necessary adaptation of the model for a more accurate description of the direct thermoplastic injection impregnation is discussed.
Subjects
Fabric compaction
Fabric relaxation
Flow modelling
Thermoplastic composites
Through thickness impregnation
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback