Report/Journal Article

PUBDB-2018-00223

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Composite models for compression moulded long regenerated cellulose fibre-reinforced brittle polylactide (PLA)

Graupner, N. (Corresponding author)Extern* ; Ziegmann, G. ; Müssig, J.

2017
Elsevier Amsterdam [u.a.]

This record in other databases:    

Please use a persistent id in citations: doi:10.1016/j.compscitech.2017.05.028

Report No.: I-20100278

Abstract: The present study shows a new approach for the prediction of tensile strength values of compression moulded long cellulose fibre-reinforced brittle polylactide (PLA) composites. For this approach regenerated cellulose fibres (lyocell) of variable fineness were used as reinforcement. Composites with different fibre loadings (17, 26 and 36 vol-%) and mean fibre orientation angles ranging between ± 20 and ± 65° were manufactured. Some published models were applied to the mechanical properties of our composites. While the rule of mixture as well as the Kelly-Tyson model lead to a clear overestimation of the strength values, the model of Taha & El-Sabbagh et al. (developed for injection moulded composites) leads to a clear underestimation. On the basis of the Kelly-Tyson-model expanded with Taha & El-Sabbagh et al.'s agglomeration factor and the use of the fibre stress at the point of elongation at break of the composite a new model was created for compression moulded regenerated cellulose fibre-reinforced composites. Overall, 19 different composites were investigated. 13 of them show a deviation from the model data to the measured tensile strength of < ± 10%, 4 of them between - 10% and −15% and only 2 of them have shown a deviation of −16 and −18%, respectively.

---

Contributing Institute(s):

1. DOOR-User (DOOR)

Research Program(s):

1. 899 - ohne Topic (POF3-899) (POF3-899)

Experiment(s):

1. DORIS Beamline BW2 (DORIS III)

Appears in the scientific report 2017

---

Database coverage:
; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

---