TY  - JOUR
AV  - none
N2  - A new modelling methodology for strength and stiffness prediction of discontinuous fibre-reinforced composites (DFC) is proposed. This has been validated for both thermoplastic and thermoset, prepreg based, carbon fibre reinforced, random DFC laminates having high volume fraction, by implementing it in a commercial FE solver. The methodology involves explicit generation of internal architecture of DFC through an algorithm which is efficient (faster model generation and solution), easily customizable and scalable. It captures many of the realistic features of the DFC such as variation in volume fraction, interlacing of strands, random orientation and thickness variation of strands. Thus, the model accounts for the natural mechanical property variation, which is characteristic of random DFCs and was found to be conservative in terms of prediction of tensile strength and stiffness for all the validation cases considered. It is generic in the sense that it can be easily extended to generate preferentially aligned and hybrid DFC laminates. © 2019 Elsevier Ltd
N1  - cited By 15
ID  - scholars13463
TI  - A new approach for strength and stiffness prediction of discontinuous fibre reinforced composites (DFC)
KW  - Carbon fibers; Degrees of freedom (mechanics); Fiber reinforced plastics; Finite element method; Forecasting; Mechanical properties; Reinforcement; Stiffness; Volume fraction
KW  -  Discontinuous reinforcement; Fibre reinforced composites; High volume fraction; Internal architecture; Modelling methodology; Random orientations; Strength and stiffness; Thickness variation
KW  -  Tensile strength
Y1  - 2020///
PB  - Elsevier Ltd
SN  - 13598368
A1  - Shah, S.Z.H.
A1  - Choudhry, R.S.
A1  - Mahadzir, S.
JF  - Composites Part B: Engineering
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076044312&doi=10.1016%2fj.compositesb.2019.107676&partnerID=40&md5=73b7390d209d205ecf246c9f1d2df9b7
VL  - 183
ER  -