Deconsolidation of carbon fiber-reinforced PEKK laminates: 3D real-time in situ observation with synchrotron X-ray microtomography

被引：13

作者：

Amedewovo, Luc ^{[1
]}

Orgeas, Laurent ^{[2
]}

du Plessix, Basile de Parscau ^{[1
]}

Lefevre, Nicolas ^{[1
]}

Levy, Arthur ^{[1
]}

Le Corre, Steven ^{[1
]}

机构：

[1] Nantes Univ, IRT Jules Verne, CNRS, Lab therm & energie Nantes,LTeN, F-44000 Nantes, France

[2] Univ Grenoble Alpes, 3SR Lab, CNRS, Grenoble INP, F-38000 Grenoble, France

来源：

COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING | 2024年 / 177卷

关键词：

A; Porosity; B. Residual/internal stress; E. Out of autoclave processing; D. CT analysis; THERMOPLASTIC MATRIX COMPOSITES; THERMAL DE-CONSOLIDATION; VOID FORMATION; TRANSPORT; PREPREGS; IMAGE;

D O I：

10.1016/j.compositesa.2023.107917

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Deconsolidation of carbon-fiber reinforced thermoplastic laminate occurs while (pre)heating the materials during their forming processes. Pores nucleate, grow and lead to degradations of mechanical properties. Here, a new experimental device was developed and installed inside a synchrotron beamline (dedicated to fast X-ray microtomography). Pore nucleation and growth was observed in 3D, real-time and in situ while heating Carbon/PEKK laminate samples. The time evolution of sample deconsolidation strain, porosity, as well as number, size and morphology of pores was assessed. Nucleation and growth is observed above the glass transition temperature and enhanced with initial moisture content. Drastic deconsolidation when approaching melting temperature is thought to be driven by internal stress in the laminate. The data provided may be used as input for modeling purposes or for validation of existing models.

引用

页数：15

共 46 条

[1]

Amedewovo L, 2022, Composites A

[2] Online characterization of moisture transport in a high-performance carbon fiber-reinforced thermoplastic composite at high temperatures: Identification of diffusion kinetics [J].

Amedewovo, Luc ;

Levy, Arthur ;

du Plessix, Basile de Parscau ;

Orgeas, Laurent ;

Le Corre, Steven .

COMPOSITES PART B-ENGINEERING, 2023, 256

[3] Formation of Voids in Composite Laminates: Coupled Effect of Moisture Content and Processing Pressure [J].

Anderson, J. P. ;

Altan, M. C. .

POLYMER COMPOSITES, 2015, 36 (02) :376-384

[4] Elongation, flatness and compactness indices to characterise particle form [J].

Angelidakis, Vasileios ;

Nadimi, Sadegh ;

Utili, Stefano .

POWDER TECHNOLOGY, 2022, 396 :689-695

[5]

[Anonymous], 2007, COMS MULT

[6]

[Anonymous], Matlab R2022a

[7] Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification [J].

Arganda-Carreras, Ignacio ;

Kaynig, Verena ;

Rueden, Curtis ;

Eliceiri, Kevin W. ;

Schindelin, Johannes ;

Cardona, Albert ;

Seung, H. Sebastian .

BIOINFORMATICS, 2017, 33 (15) :2424-2426

[8]

Avenet J, 2021, Ph.D. thesis

[9] Measuring the impregnation of an out-of-autoclave prepreg by micro-CT [J].

Centea, T. ;

Hubert, P. .

COMPOSITES SCIENCE AND TECHNOLOGY, 2011, 71 (05) :593-599

[10] Dynamic rheological behavior of poly(ether ketone ketone) from solid state to melt state [J].

Coulson, Mike ;

Cortes, Luis Quiroga ;

Dantras, Eric ;

Lonjon, Antoine ;

Lacabanne, Colette .

JOURNAL OF APPLIED POLYMER SCIENCE, 2018, 135 (27)

← 1 2 3 4 5 →