Abstract
Poly(propylene carbonate) (PPC) is a promising material for the synergistic molding of microvascular composites due to its thermal depolymerization characteristics. However, its low mechanical strength makes it susceptible to deformation under the high vacuum pressures required during composite fabrication. To address this limitation, this study investigates the effects of polylactic acid (PLA), poly(vinyl alcohol) (PVA), and nano-sized silicon dioxide (SiO2) as modifying additives, using blending and filling techniques to enhance the mechanical properties of PPC. The results show that all three additives improve the properties of PPC, with the formulation containing 7.5 wt% SiO2 exhibiting the most significant enhancement. The tensile strength increased from 30.15 MPa to 40.63 MPa (a 34.76 % improvement), and the Young’s modulus increased from 393.05 MPa to 668.23 MPa (a 75.1 % increase). The onset decomposition temperature is 115.5 °C, and the fastest decomposition temperature is 159.3 °C. Microvascular composites were successfully fabricated using the vacuum-assisted resin transfer molding (VARTM) process combined with frontal polymerization. Under a vacuum pressure of −0.95 bar, the aspect ratio (AR) of the microvascular cross section improved from 1.67 ± 0.15 to 1.03 ± 0.01, confirming that the optimized, SiO2-reinforced PPC is suitable for use as a sacrificial template in high-pressure composite molding processes.
Funding source: Special Funds for Construction of Innovative Provinces in Hunan
Award Identifier / Grant number: No. 2022GK1070
Funding source: Hunan Science and Technology Innovation Program
Award Identifier / Grant number: No. 2021GK1020
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission. T.Z.L.: writing-review & editing, writing-original draft, methodology, investigation, formal analysis, conceptualization. Z.K.H.: investigation, formal analysis, data curation. R.L.S.: writing-review & editing, supervision, project administration, methodology, conceptualization. G.T.L.: investigation, formal analysis. Y.L.G.: methodology.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: All authors state no conflict of interest.
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Research funding: This research is supported by the Special Funds for Construction of Innovative Provinces in Hunan (no. 2022GK1070), and the Hunan Science and Technology Innovation Program (no. 2021GK1020).
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Data availability: The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Supplementary Material
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