All Outputs (2)

Prediction of two-phase composite microstructure properties through deep learning of reduced dimensional structure-response data (2021)
Journal Article
Ammasai Sengodan, G. (2021). Prediction of two-phase composite microstructure properties through deep learning of reduced dimensional structure-response data. Composites Part B: Engineering, 225, https://doi.org/10.1016/j.compositesb.2021.109282

A novel method to predict the mechanical responses of arbitrary microstructures from the deep learning of microstructures and their stress-strain response is presented in this work. Two-phase microstructural images that consist of different grain siz... Read More about Prediction of two-phase composite microstructure properties through deep learning of reduced dimensional structure-response data.

Hygrothermal effects on the translaminar fracture toughness of a highly toughened aerospace CFRP: Experimental characterisation and model prediction (2021)
Journal Article
Sengodan, G. A., Li, S., Allegri, G., & Hallett, S. R. (2021). Hygrothermal effects on the translaminar fracture toughness of a highly toughened aerospace CFRP: Experimental characterisation and model prediction. Composites Part A: Applied Science and Manufacturing, 150, https://doi.org/10.5075/978-X-XXX-XXXXX-X

The translaminar fracture toughness of wet (fully saturated) and dry (as manufactured) IM7/8552 laminates was measured using compact tension tests. Cross-ply ([90/0]8S) and quasi-isotropic ([90/45/0/-45]4S) laminates were tested at three different te... Read More about Hygrothermal effects on the translaminar fracture toughness of a highly toughened aerospace CFRP: Experimental characterisation and model prediction.