Mechanical and electrical properties of additive manufactured high-performance continuous glass fiber reinforced PEEK composites

Liu, Xiaojun; Shan, Zhongde; Liu, Jianhua; Xia, Huanxiong; Ao, Xiaohui; Ailing, Zou; Wu, Siyuan

doi:10.1016/j.compositesb.2022.110292

Cited by 31 publications

(6 citation statements)

References 56 publications

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“…The manufacturing efficiency of CNFRCs could be enhanced by adjusting printing parameters such as increasing the layer thickness and printing speed. [71][72][73] Nevertheless, the increase in layer thickness and printing speed easily caused high void contents and triangular gaps inside the composites, resulting in a decrease in the mechanical properties of CNFRCs. 26 Thus, the manufacturing efficiency and mechanical properties were considered two contradictory goals in the CNFRCs 3D printing.…”

Section: Performance Optimization and Prediction Of 3d Printed Cnfrcs...mentioning

confidence: 99%

3D printing continuous natural fiber reinforced polymer composites: A review

Cheng,

Peng,

Wang

et al. 2023

Polymers for Advanced Techs

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With the growing prominence of environmental conservation awareness, there has been a notable surge in the exploration of renewable materials, particularly in the realm of natural fiber reinforced polymer composites. This heightened focus is underscored by the recent advancements in additive manufacturing techniques dedicated to continuous natural fiber reinforced composites (CNFRCs), which have inherently opened unprecedented avenues for the holistic customization of CNFRCs with meticulously tailored properties. This work reviewed the advanced techniques for 3D printing CNFRCs and addressed their challenges and perspectives in the future. First, the 3D printing processes of CNFRCs were reviewed, and the use of reinforcement and matrix phases was classified in detail. Then, CNFRCs were discussed in terms of their mechanical performances and novel function of shape‐changing. Further, performance optimization and prediction methods of 3D printed CNFRCs were discussed. In conclusion, a perspective on future study opportunities of 3D printed CNFRCs was provided from design, manufacturing, prediction to application.

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Section: Performance Optimization and Prediction Of 3d Printed Cnfrcs...mentioning

confidence: 99%

3D printing continuous natural fiber reinforced polymer composites: A review

Cheng,

Peng,

Wang

et al. 2023

Polymers for Advanced Techs

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“…[6][7][8][9] Fiber volume fraction has been investigated in detail via numerous experiments. [10][11][12][13] However, the current research of the combined effect of fiber content and porosity on structural properties is insufficient. Finite element method (FEM) based on micromechanics enables representative volume elements (RVEs) to capture the complex spatial distribution of various material components, providing a viable approach for property prediction.…”

Section: Introductionmentioning

confidence: 99%

A materials informatics framework based on reduced‐order models for extracting structure–property linkages of additively manufactured continuous fiber‐reinforced polymer composites

Zhang,

Shi,

et al. 2024

Polymer Composites

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The innovative combination of additive manufacturing (AM) and continuous fiber‐reinforced polymer composites (CFRPCs) confers products with the dual advantages of integrated manufacturing and designability of properties, but lack an efficient and reliable method for property prediction. This study presents a materials informatics framework using reduced‐order models and machine learning (ML) to extract the structure–property (SP) linkages between microstructures and macroscopic elastic properties of AM‐CFRPCs. The initial step involves generating microstructural 2D cross‐sections and representative volume elements (RVEs) with random fiber and pore distributions based on the minimum potential method. Then, finite element (FE) calculations are performed on RVEs to obtain nine macroscopic elastic properties. Following that, the quantification and dimensionality reduction of the 2D cross‐sectional dataset are conducted separately using two‐point spatial correlations and principal component analysis (PCA). Finally, a Bayesian optimized composite kernel support vector regression (CK‐SVR) algorithm is used to effectively establish complex mapping relationships between the reduced‐order representations of the microstructures and the mechanical properties. Despite the reduced‐order dataset containing only 3–6 variables, the framework generates an interpretable model exhibiting excellent accuracy with all predicted R2 values surpassing 0.91. Therefore, this framework presents a prospective solution for expediting the design and optimization of AM‐CFRPCs.Highlights A materials informatics scheme is proposed to predict the 9 elastic properties of AM‐CFRPCs. Microstructures are quantified and dimensionally reduced by two‐point statistics and PCA. SP linkages are established between 2D cross‐sections and 3D macromechanical properties. Modified CK‐SVR exhibits higher prediction accuracy compared to conventional models.

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“…6,7 In the previous research, the thermoplastics used to prepare CFRTPCs by FDM are mainly polylactic acid (PLA), 1,8 polyamide (PA), [9][10][11] polypropylene (PP), 12 poly ethylene terephthalate glycol (PETG), 13 poly(ether-ether-ketone) (PEEK). [14][15][16] It is concentrated on thermoplastics with poor heat resistance and mechanical properties, which limit the applications. In addition to PEEK which is a popular feedstock in FDM, poly(ether-ketone-ketone) (PEKK) has more rigid ketone groups in the backbone which increases glass transition temperature (Tg) 17 and improves hightemperature resistance.…”

Section: Introductionmentioning

confidence: 99%

“…Continuous fiber reinforced thermoplastic composites (CFRTPCs) prepared by FDM exhibit excellent mechanical performances, which can improve the customized level to a certain extent and will expand the application of FDM in the field of composites 6,7 . In the previous research, the thermoplastics used to prepare CFRTPCs by FDM are mainly polylactic acid (PLA), 1,8 polyamide (PA), 9–11 polypropylene (PP), 12 poly ethylene terephthalate glycol (PETG), 13 poly(ether‐ether‐ketone) (PEEK) 14–16 . It is concentrated on thermoplastics with poor heat resistance and mechanical properties, which limit the applications.…”

Section: Introductionmentioning

confidence: 99%

Interfacial performance and build orientation of 3D‐printed poly(ether‐ketone‐ketone) reinforced by continuous carbon fiber

Fan,

Zhou,

Zhang

et al. 2023

Polymer Composites

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Continuous fiber reinforced thermoplastic composites (CFRTPCs) prepared by fused deposition modeling (FDM) have gained great attention for the benefit of preparing products without molds. However, unexpected debonding and defects are derived from insufficient impregnation between fiber and matrix in 3D‐printed samples, resulting in weak interfacial performance. In this work, a polyetherimide (PEI) sizing agent was used to improve the fiber‐matrix interfaces, and the interlaminar shear strength (ILSS) of the continuous carbon fiber reinforced poly(ether‐ketone‐ketone) composites was increased to 27.1 MPa, 12.4% higher than that of unmodified composite. Meanwhile, the performance of CFRTPCs is affected by process parameters in FDM. Build orientation of FDM was discussed and PEI weakened the anisotropy of samples' mechanical properties because the performance variation caused by build orientation decreased from 86.8% to 65.2%, which may be beneficial for the forming freedom of in situ impregnated FDM. The addition of PEI makes sense to apply in situ impregnated FDM in high‐tech fields.Highlights CCF/PEKK composites were prepared by in situ impregnated FDM. ILSS of flat‐oriented CCF/PEKK was 86.8% higher than that of on‐edge. 5 wt% PEI sizing agent promoted adhesion of CCF and PEKK to obtain the best mechanical properties. PEI weakened the anisotropy of samples' mechanical properties, which was conducive to forming freedom.

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Mechanical and electrical properties of additive manufactured high-performance continuous glass fiber reinforced PEEK composites

Cited by 31 publications

References 56 publications

3D printing continuous natural fiber reinforced polymer composites: A review

3D printing continuous natural fiber reinforced polymer composites: A review

A materials informatics framework based on reduced‐order models for extracting structure–property linkages of additively manufactured continuous fiber‐reinforced polymer composites

Interfacial performance and build orientation of 3D‐printed poly(ether‐ketone‐ketone) reinforced by continuous carbon fiber

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