2021
DOI: 10.3390/polym13213846
|View full text |Cite
|
Sign up to set email alerts
|

Numerical Simulation and Experimental Validation of Hybrid Injection Molded Short and Continuous Fiber-Reinforced Thermoplastic Composites

Abstract: In-situ thermoforming and overmolding of continuous fiber-reinforced thermoplastic composites by hybrid injection molding enables the mass production of thermoplastic lightweight structures with a complex geometry. In this study, the anisotropic mechanical behavior of such hybrid injection molded short and continuous fiber-reinforced thermoplastics and the numerical simulation of the resulting mechanical properties under flexural loading were investigated. For this, the influence of the volume flow rate betwee… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 41 publications
0
2
0
Order By: Relevance
“…Numerical simulation is one of the most critical methods for scientific research [25,26]. In this paper, an accurate tension fluctuation model is developed to depict the tension variations during the layup process.…”
Section: Introductionmentioning
confidence: 99%
“…Numerical simulation is one of the most critical methods for scientific research [25,26]. In this paper, an accurate tension fluctuation model is developed to depict the tension variations during the layup process.…”
Section: Introductionmentioning
confidence: 99%
“…Hirsch et al [28] examined hybrid injection-moulded short-and continuous-fibrereinforced thermoplastic composites using a numerical simulation with experimental validation. For injection moulding, simulation Moldex3D software was used, while for the numerical simulation of the flexural test, Ansys software (Canonsburg, PA, USA) was used.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, support vector machine regression (SVR) and sparse proper generalized decomposition (sPGD) techniques were chosen to predict the process outputs. Hirsch et al [10] experimentally and numerically investigated the anisotropic mechanical behavior of a hybrid injection molding process using a continuous fiber-reinforced thermoplastic. The prediction of the mechanical behavior of the hybrid test structure under flexural loading by numerical simulation was significantly improved, resulting in a reduction in the deviation between the numerically predicted and experimentally measured flexural strength.…”
mentioning
confidence: 99%