Path-Dependent Progressive Failure Analysis for 3D-Printed Continuous Carbon Fibre Reinforced Composites

Chen, Yuan1,2; Ye, Lin1,2

2024-07-23

10.1186/s10033-024-01054-0

CHINESE JOURNAL OF MECHANICAL ENGINEERING   影响因子和分区

1000-9345

2192-8258

In order to predict the damage behaviours of 3D-printed continuous carbon fibre (CCF) reinforced composites, when additional short carbon fibre (SCF) composite components are employed for continuous printing or special functionality, a novel path-dependent progressive failure (PDPF) numerical approach is developed. First, a progressive failure model using Hashin failure criteria with continuum damage mechanics to account for the damage initiation and evaluation of 3D-printed CCF reinforced polyamide (PA) composites is developed, based on actual fibre placement trajectories with physical measurements of 3D-printed CCF/PA constituents. Meanwhile, an elastic-plastic model is employed to predict the plastic damage behaviours of SCF/PA parts. Then, the accuracy of the PDPF model was validated so as to study 3D-printed CCF/PA composites with either negative Poisson's ratio or high stiffness. The results demonstrate that the proposed PDPF model can achieve higher prediction accuracies in mechanical properties of these 3D-printed CCF/PA composites. Mechanism analyses show that the stress distribution is generally aggregated in the CCF areas along the fibre placement paths, and the shear damage and matrix tensile/compressive damage are the key damage modes. This study provides a new approach with valuable information for characterising complex 3D-printed continuous fibre-matrix composites with variable mechanical properties and multiple constituents.

3D printing Continuous carbon fibre Modelling Energy absorption Negative Poisson's ratio

SCI

英语

第一 ; 通讯

Engineering

Engineering, Mechanical

WOS:001274049000002

SPRINGER

Web of Science

1.Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg SDIM, Shenzhen 518055, Peoples R China
2.Southern Univ Sci & Technol, Shenzhen Key Lab Intelligent Mfg Continuous Carbon, Shenzhen 518055, Peoples R China

Chen, Yuan,Ye, Lin. Path-Dependent Progressive Failure Analysis for 3D-Printed Continuous Carbon Fibre Reinforced Composites[J]. CHINESE JOURNAL OF MECHANICAL ENGINEERING,2024,37(1).

Chen, Yuan,&Ye, Lin.(2024).Path-Dependent Progressive Failure Analysis for 3D-Printed Continuous Carbon Fibre Reinforced Composites.CHINESE JOURNAL OF MECHANICAL ENGINEERING,37(1).

Chen, Yuan,et al."Path-Dependent Progressive Failure Analysis for 3D-Printed Continuous Carbon Fibre Reinforced Composites".CHINESE JOURNAL OF MECHANICAL ENGINEERING 37.1(2024).