Computational modeling of weld-line impacts on mechanical behavior of fiber-reinforced thermoplastics

The areas where the weld line is located are weak areas in terms of impact strength and tensile strength, which negatively affects the overall strength of the final product. It can also cause visual defects on the surface and create an aesthetically undesirable situation. The injection molding proce...

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Veröffentlicht in:European journal of mechanics, A, Solids A, Solids, 2025-01, Vol.109, p.105485, Article 105485
Hauptverfasser: Polat, Ayşe, Deliktaş, Babür, Yazıcı, Murat, Voyiadjis, George Z.
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Sprache:eng
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Zusammenfassung:The areas where the weld line is located are weak areas in terms of impact strength and tensile strength, which negatively affects the overall strength of the final product. It can also cause visual defects on the surface and create an aesthetically undesirable situation. The injection molding process introduces anisotropic behaviors in materials, particularly in weld-line areas, which are proned to mechanical weaknesses. This study aims to enhance the predictability of the mechanical performance of injection-molded fiber-reinforced thermoplastic composites (FRPs) through a comprehensive computational modeling technique. By using software such as MOLDEX3D and DIGIMAT RP, this research integrates real-time data on fiber orientation and weld-line effects into the finite element analysis (FEA) models. Simulations of 40% glass fiber reinforced polyamide (PA6) revealed the impact of different gate numbers on mechanical strength, highlighting the influence of weld-line regions. The findings suggest that incorporating fiber orientation and weld-line data significantly improves the accuracy of FEA models, leading to better predictions in the performance of the parts. •Enhanced FEA Models: Adding fiber orientation and weld-line data boosts the precision of FEA for FRPs.•Impact of Weld-Lines: Weld-line regions and gate number significantly affect mechanical strength.•Comprehensive Material Modeling: Real material data integration enhances simulation, improving part performance predictions.
ISSN:0997-7538
DOI:10.1016/j.euromechsol.2024.105485