Next Article in Journal
Incorporation of Nanostructural Hydroxyapatite and Curcumin Extract from Curcuma longa L. Rhizome into Polylactide to Obtain Green Composite
Previous Article in Journal
Preparation and Structural-Thermodynamical Investigation of Renewable Copolyesters Based on Poly (Ethylene Succinate) and Polyisosorbide
Previous Article in Special Issue
Low-Density and High-Performance Fiber-Reinforced PP/POE Composite Foam via Irradiation Crosslinking
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Assessing Intra-Bundle Impregnation in Partially Impregnated Glass Fiber-Reinforced Polypropylene Composites Using a 2D Extended-Field and Multimodal Imaging Approach

by
Sujith Sidlipura
,
Abderrahmane Ayadi
* and
Mylène Lagardère Deléglise
IMT Nord Europe, Institut Mines-Télécom, Univ. Lille, Centre for Materials and Processes, 59000 Lille, France
*
Author to whom correspondence should be addressed.
Polymers 2024, 16(15), 2171; https://doi.org/10.3390/polym16152171 (registering DOI)
Submission received: 25 June 2024 / Revised: 25 July 2024 / Accepted: 26 July 2024 / Published: 30 July 2024

Abstract

This study evaluates multimodal imaging for characterizing microstructures in partially impregnated thermoplastic matrix composites made of woven glass fiber and polypropylene. The research quantifies the impregnation degree of fiber bundles within composite plates manufactured through a simplified compression resin transfer molding process. For comparison, a reference plate was produced using compression molding of film stacks. An original surface polishing procedure was introduced to minimize surface defects while polishing partially impregnated samples. Extended-field 2D imaging techniques, including polarized light, fluorescence, and scanning electron microscopies, were used to generate images of the same microstructure at fiber-scale resolutions throughout the plate. Post-processing workflows at the macro-scale involved stitching, rigid registration, and pixel classification of FM and SEM images. Meso-scale workflows focused on 0°-oriented fiber bundles extracted from extended-filed images to conduct quantitative analyses of glass fiber and porosity area fractions. A one-way ANOVA analysis confirmed the reliability of the statistical data within the 95% confidence interval. Porosity quantification based on the conducted multimodal approach indicated the sensitivity of the impregnation degree according to the layer distance from the pool of melted polypropylene in the context of simplified-CRTM. The findings underscore the potential of multimodal imaging for quantitative analysis in composite material production.
Keywords: compression molding; polymer matrix composites; thermoplastic resin; microstructural analysis; porosity; polarized light microscopy; fluorescence microscopy; scanning electron microscopy; multimodality compression molding; polymer matrix composites; thermoplastic resin; microstructural analysis; porosity; polarized light microscopy; fluorescence microscopy; scanning electron microscopy; multimodality

Share and Cite

MDPI and ACS Style

Sidlipura, S.; Ayadi, A.; Deléglise, M.L. Assessing Intra-Bundle Impregnation in Partially Impregnated Glass Fiber-Reinforced Polypropylene Composites Using a 2D Extended-Field and Multimodal Imaging Approach. Polymers 2024, 16, 2171. https://doi.org/10.3390/polym16152171

AMA Style

Sidlipura S, Ayadi A, Deléglise ML. Assessing Intra-Bundle Impregnation in Partially Impregnated Glass Fiber-Reinforced Polypropylene Composites Using a 2D Extended-Field and Multimodal Imaging Approach. Polymers. 2024; 16(15):2171. https://doi.org/10.3390/polym16152171

Chicago/Turabian Style

Sidlipura, Sujith, Abderrahmane Ayadi, and Mylène Lagardère Deléglise. 2024. "Assessing Intra-Bundle Impregnation in Partially Impregnated Glass Fiber-Reinforced Polypropylene Composites Using a 2D Extended-Field and Multimodal Imaging Approach" Polymers 16, no. 15: 2171. https://doi.org/10.3390/polym16152171

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop