Polymer最新文献

{"title":"Vertically aligned polyimide prepared from a lyotropic precursor containing clay nanosheet that facilitates vertical stacking of smectic layer","authors":"Kazuki Oyama ,&nbsp;Guan-Lin Liu ,&nbsp;Shinji Ando ,&nbsp;Sergei G. Kazarian ,&nbsp;Ryohei Ishige","doi":"10.1016/j.polymer.2025.128267","DOIUrl":"10.1016/j.polymer.2025.128267","url":null,"abstract":"<div><div>This paper reports that adding a small amount of nanosheets (nanoclay, NC) with a hydrophobic surface to a solution of lyotropic liquid-crystalline poly(amic ester) (PAE) facilitates the vertical alignment of the main chain of PAE as a precursor of polyimide. This method allows the preparation of thin films of preferentially vertically aligned (VA) polyimide (PI), even on hydrophilic substrates, using a conventional solution casting process. The vertical alignment mechanism of the PAE main chains was investigated using precise orientation analyses based on grazing-incidence wide-angle X-ray scattering (GI-WAXS), infrared p-polarized multiple-angle incidence resolution spectroscopy (IR pMAIRS), and polarized micro-ATR-FTIR spectroscopic imaging (micro-ATR imaging) methods. GI-WAXS and IR pMAIRS revealed that the NC nanosheets were horizontally oriented in the film, enhancing the orientation order parameter (<em>S</em>) of the PAE. Micro-ATR imaging indicated that <em>S</em> increased homogeneously in the composite film, even though a small portion of the NC was aggregated. These analyses demonstrate that the smectic-layer growth of the lyotropic PAE from the hydrophobic interfaces in the solution was the key to generating the vertical alignment of the PAE main chain. This study provides a versatile strategy for fabricating VA films by adding nanosheets to various precursors that exhibit lyotropic smectic phases.</div></div>","PeriodicalId":405,"journal":{"name":"Polymer","volume":"325 ","pages":"Article 128267"},"PeriodicalIF":4.1,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143590031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-healing and repeatedly moldable plasticine-like electrodes","authors":"Ya'nan Zhao ,&nbsp;Zhouqishuo Cai ,&nbsp;Xinping Lin ,&nbsp;Yinping Zeng ,&nbsp;Shumin Lin ,&nbsp;Jialiang Li ,&nbsp;Jinmeng Zhang ,&nbsp;Zewen Lin ,&nbsp;Hua Bai","doi":"10.1016/j.polymer.2025.128268","DOIUrl":"10.1016/j.polymer.2025.128268","url":null,"abstract":"<div><div>Combining the re-moldable and self-healing properties of plasticine with energy storage can yield a novel electrode with excellent shape adaptability, ideal for use in portable and wearable electronics. Here, a plasticine-like supercapacitor electrode material is designed and prepared by incorporating the electrochemically active polypyrrole, ionic liquid, and carbon nanotube into the silicone rubber matrix. Polypyrrole, ionic liquid, and carbon nanotube synergistically regulate the cross-linking degree of silicone rubber, producing a moderately cured silicone rubber matrix that binds the components together and provides plasticity and healing ability. The plasticine-like electrode material shows high specific capacitance and good cycling stability, attributed to the good electrochemical activity of polypyrrole, effective charge transport path formed by carbon nanotube and ionic liquid, and the soft skeleton provided by silicone rubber. Moreover, it can achieve real-time and reproducible healing through mechanical kneading, with both mechanical and electrochemical properties restoring to their initial state. The plasticine-like electrode materials, with their excellent plasticity, self-healing ability, and strong electrochemical performance, hold significant potential for a wide range of applications and can inspire the development of similar materials.</div></div>","PeriodicalId":405,"journal":{"name":"Polymer","volume":"324 ","pages":"Article 128268"},"PeriodicalIF":4.1,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143590237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Encapsulation of LiCoO2 particles with lithium containing polymer for solid state lithium-ion battery cathodes","authors":"Steven W. Thompson ,&nbsp;Thiago R. Guimarães ,&nbsp;Kenta Watanabe ,&nbsp;Masaaki Hirayama ,&nbsp;Per B. Zetterlund","doi":"10.1016/j.polymer.2025.128255","DOIUrl":"10.1016/j.polymer.2025.128255","url":null,"abstract":"<div><div>In the present work, LiNbO₃ coated LiCoO₂ particles are encapsulated with lithium containing polymer by use of reversible addition-fragmentation chain transfer (RAFT) assisted encapsulating polymerization (REEP) for application in solid-state lithium-ion battery technology. Two different trithiocarbonate macroRAFT agents are explored, namely poly (methacrylic acid (MAA)-<em>stat</em>-butyl methacrylate (BMA)) and poly (2-(dimethylamino)ethyl methacrylate) (PDMAEMA), for the adsorption onto the surface of LiNbO₃ coated LiCoO₂ particles, revealing superior adsorption characteristics by the former. In accordance with the REEP process, the adsorbed macroRAFT is chain extended with poly (ethylene glycol) methacrylate and the crosslinker ethylene glycol dimethacrylate to generate hydrogels adsorbed to the surface of the lithium metal oxide particles. Incorporation of lithium 3-[(trifluoromethane)sulfonamidosulfonyl]propyl methacrylate (LiMFTSI) into these hydrogels via REEP copolymerization is successfully demonstrated. The present results offer a promising route to encapsulation of LiNbO₃ coated LiCoO₂ particles, with a view to addressing the challenges associated with the degradation of ionic conductivity between the active material and solid electrolyte in composite electrodes.</div></div>","PeriodicalId":405,"journal":{"name":"Polymer","volume":"324 ","pages":"Article 128255"},"PeriodicalIF":4.1,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart multi-stimuli responsive magneto-piezoelectric composite material based on PVDF and BiFeO3 nanoparticles for catalysis and energy harvesting","authors":"A.A. Rabadanova ,&nbsp;D.A. Selimov ,&nbsp;A.O. Shuaibov ,&nbsp;N.M.-R. Alikhanov ,&nbsp;S.I. Suleymanov ,&nbsp;A.Y. Shishov ,&nbsp;V.D. Salnikov ,&nbsp;M.A. Sangamesha ,&nbsp;K.M. Giraev ,&nbsp;I.M. Bamatov ,&nbsp;F.F. Orudzhev","doi":"10.1016/j.polymer.2025.128241","DOIUrl":"10.1016/j.polymer.2025.128241","url":null,"abstract":"<div><div>The development of hybrid magneto-piezoelectric composite materials with enhanced functional capabilities represents a relevant area of research. The integration of the functional properties of piezoactive nanomaterials and a ferroelectric polymer matrix creates novel solutions for applications in catalysis and electronics. This study proposes a new approach to creating two-phase polymer-inorganic composite films based on the piezoelectric polymer PVDF and the nanocrystalline multiferroic BiFeO₃ (BFO). Phase inversion using a non-solvent and thermal treatment combined with doctor blade technology enabled the formation of PVDF/BFO composites with an 86 % electroactive phase content. The variation in BFO concentration led to changes in morphology, increased magnetization, and improved mechanical and electromagnetic energy conversion characteristics. Photocatalytic and piezocatalytic experiments demonstrated methylene blue (MB) degradation efficiencies of 97 % (photocatalysis) and 79 % (piezocatalysis) for PVDF/BFO5, and 95 % (photocatalysis) and 83 % (piezocatalysis) for PVDF/BFO10, with reaction rate constants of 0.048 min⁻¹ and 0.035 min⁻¹, respectively. The absence of synergistic enhancement in combined photo- and piezocatalysis was attributed to charge compensation at the interface. The degradation mechanism of MB was confirmed using radical scavenger experiments and density functional theory (DFT) calculations, identifying hydroxyl radicals (^•OH) as the primary active species and elucidating key intermediate products, including hydroxylated and ring-opening derivatives. Mechanical energy harvesting characteristics were studied under various excitations applied to the piezoelectric nanogenerator (PENG), including rolling motion, compression, periodic vibrations, and ultrasonic (US) exposure. Under US, PENG tests revealed an increase in output voltage from 5.2 V (pure PVDF) to 7.6 V (PVDF/BFO5) and 9.9 V (PVDF/BFO10), corresponding to a 1.5–1.9-fold enhancement. Under vertical compression with a 4.4 N force, the peak output voltage of PVDF/BFO10 reached 24 V, with a corresponding power density of 12 μW/m² at an optimal load resistance of 10 MΩ. The ability to convert parasitic magnetic fields through magneto-mechanoelectric coupling was confirmed. When placed near the power cable of an electric kettle (2200 W), the PENG device generated an induced voltage, demonstrating its capability to harvest stray electromagnetic energy. The reduced conversion efficiency of BFO10 compared to BFO5 under magnetic field exposure is attributed to decreased membrane elasticity at high nanoparticle loadings, leading to lower deformation and reduced electrical power output. These findings highlight the potential of PVDF/BFO composites for applications in energy harvesting and catalysis, paving the way for the development of smart multifunctional materials.</div></div>","PeriodicalId":405,"journal":{"name":"Polymer","volume":"324 ","pages":"Article 128241"},"PeriodicalIF":4.1,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding even-odd effects in linear semi-crystalline polymers: Polyethers, polycarbonates, polyesters, and polyamides","authors":"Ricardo A. Pérez-Camargo ,&nbsp;Juan Torres ,&nbsp;Alejandro J. Müller","doi":"10.1016/j.polymer.2025.128233","DOIUrl":"10.1016/j.polymer.2025.128233","url":null,"abstract":"<div><div>The intricate relationship between the chemical structure of polymers, their thermal history, and various influencing variables has been systematically explored over the last several decades. A significant finding in this area is the impact of the alkyl chain length in the polymer backbone separating functional groups within the repeating unit on thermal properties such as melting and crystallization. Research has revealed an alternating pattern in solid-state properties linked to the number of methylene (–CH₂–) units in the main chain, demonstrating a remarkable distinction based on whether this number is even or odd. This intriguing phenomenon is termed the “even-odd effect.\"</div><div>In this review contribution, we delve into recent advancements in understanding the even-odd effect from the crystallization point of view, showcasing specific examples across key polymer families, including polyethers, polycarbonates, polyesters, and polyamides. We meticulously review the methodologies applied to study these cases, introducing innovative techniques for investigating the even-odd effect, such as crystallization kinetics determination and Successive Self-nucleation and annealing thermal fractionation. Our analysis reveals that the saturation of the even-odd effect is heavily contingent upon the intermolecular interactions within each polymer family, with some families showing no reported saturation thus far.</div><div>Moreover, we dedicate a comprehensive section to examining how polymer structure's even or odd characteristics influence crystallization behavior, emphasizing the emergence of novel behaviors within random copolymers. In conclusion, while significant progress has been made, it is crucial to recognize that numerous facets of this topic remain unexplored. Our findings underscore the importance of continued research, which is vital not only for the synthesis of innovative homopolymers but also for advancing copolymer development.</div></div>","PeriodicalId":405,"journal":{"name":"Polymer","volume":"324 ","pages":"Article 128233"},"PeriodicalIF":4.1,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust and elastic composite aerogel fiber constructed from three-dimensional embedding of silica aerogel particles in nanoporous agarose","authors":"Jiajia Ren ,&nbsp;Lipeng Liu ,&nbsp;Qiqi Song ,&nbsp;Pengjie Jiang ,&nbsp;Yuxiang Du ,&nbsp;Jiahui Wang ,&nbsp;Yinghui Liu ,&nbsp;Rui Fu ,&nbsp;Huazheng Sai","doi":"10.1016/j.polymer.2025.128239","DOIUrl":"10.1016/j.polymer.2025.128239","url":null,"abstract":"<div><div>Aerogel fibers inherit the advantages of the aerogel and fiber materials, such as good flexibility, low density, and high porosity, and are promising for producing wearable thermal insulation textiles for harsh environments. Nevertheless, the practical application of the three-dimensional (3D) network structures of aerogel fibers is hindered by their poor mechanical properties owing to the nanoporous structure. In this work, we produced composite aerogel fibers (CAFs) by combining SiO₂ gel slurry derived from coal fly ash with agarose and polyurea using wet-spinning and supercritical-drying technologies. In the CAFs, small SiO₂ aerogel particles existed in agarose nanofiber network to form an embedded structure. The synergic effects between the fragile SiO₂ gel skeleton and soft agarose nanofiber gel skeleton endow the CAFs with excellent elasticity, showing considerable of elastic recovery even after radial compression under 40 % strain, thus also helping to overcome some limitations of fragile SiO₂ aerogels and soft agarose nanofiber aerogels in practical applications. Surface modification of aerogel fiber with polyurea not only endows it with ideal hydrophobicity (water contact angle: 130°), but also enhances its tensile resistance (∼2.5 MPa). Furthermore, the aerogel fibers exhibit high specific surface area (∼182 m²/g) and low thermal conductivity (0.027 W m⁻¹ K⁻¹). Hence, this study constructs the microstructure of silica embedded in the agarose fiber network to obtain SiO₂/agarose/polyurea CAFs (SAP-CAFs) with excellent performance, which will promote their application in the field of clothing fabrics in extreme temperature and humid environments.</div></div>","PeriodicalId":405,"journal":{"name":"Polymer","volume":"324 ","pages":"Article 128239"},"PeriodicalIF":4.1,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How to effectively perform equibiaxial tension for rubber materials?","authors":"Qiang Zhang ,&nbsp;Li Liu ,&nbsp;Liqun Zhang ,&nbsp;Fanzhu Li","doi":"10.1016/j.polymer.2025.128256","DOIUrl":"10.1016/j.polymer.2025.128256","url":null,"abstract":"<div><div>The utilization of a reasonable rubber hyperelastic constitutive model (HCM) is fundamental to obtain high-precision simulation results for the reliability analysis and structural optimization of rubber products under complex working conditions. Equibiaxial tension (ET) is of importance for the material parameters identification of HCMs. To date, there is no ISO standard for ET test of rubber, nor is there a comprehensive account of the design of different ET testing methods. In this work, we focus on the fundamental challenges of ET, including (i) how to select the appropriate shape and size of rubber samples (square, cruciform-Ⅰ, cruciform-II and circular)? (ii) How to determine the reasonable strain gauge zone through optical extensometers or digital image correlation technique? (iii) How to determine the load-bearing area in the solution of nominal stress? The rationality of the uniform equibiaxial strain calibration area and the precise stress calibration area of square and circular shape samples were verified through experimental data of different rubber materials. This work could provide a theoretical support for the selection and optimization of <span>ET</span> testing methods for rubber materials.</div></div>","PeriodicalId":405,"journal":{"name":"Polymer","volume":"324 ","pages":"Article 128256"},"PeriodicalIF":4.1,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of melt viscosity on filler dispersion in elastomeric nanocomposites","authors":"Jianqi Wang ,&nbsp;Kabir Rishi ,&nbsp;Vishak Narayanan ,&nbsp;Gregory Beaucage ,&nbsp;Benjamin Yavitt ,&nbsp;Alex McGlasson ,&nbsp;Michael Chauby ,&nbsp;Anh Tang ,&nbsp;Ugochukwu Okoli ,&nbsp;Jan Ilavsky","doi":"10.1016/j.polymer.2025.128237","DOIUrl":"10.1016/j.polymer.2025.128237","url":null,"abstract":"<div><div>Compounding of commercial nanocomposites usually involves the addition of viscosity enhancers such as binder resins in ink jet inks, and paints. Contrary to this, plasticizers such as process oils are added to reduce the melt viscosity and ease processability of reinforced elastomers. Nanofillers such as silica and carbon black are typically added to reinforce rubber and enhance performance of automotive tire treads. Filler dispersion has traditionally been qualitatively (indirectly) assessed by measuring the properties of reinforced elastomers. While dispersion can be quantified by examining filler agglomeration through surface roughness measurements and microscopy, the size-scale dependence for these hierarchical fillers has usually been ignored. We have recently devised a method to quantify nano-scale dispersion of fillers using Ultra small-angle X-ray scattering (USAXS) techniques. This method is advantageous since it directly links the controllable processing/compounding parameters such as the mixing speed, mixer geometry, residence time (or mixing duration), melt density, flow gap distance, and melt viscosity to nano-scale dispersion. While our previous studies have explored the impact of different processing parameters, this study specifically investigates the impact of melt viscosity on nano-scale filler dispersion in elastomer compounds. Commercially available polybutadienes with different Mooney viscosities were used in conjunction with different grades and amounts of process oils to modify the melt viscosity.</div></div>","PeriodicalId":405,"journal":{"name":"Polymer","volume":"326 ","pages":"Article 128237"},"PeriodicalIF":4.1,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143570104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural network-optimized imaging for classifying lignin-based polyurethane foams: Linking molecular composition to cellular microstructure using advanced machine learning","authors":"Ilige S. Hage ,&nbsp;Charbel Y. Seif ,&nbsp;Jose Enrico Q. Quinsaat ,&nbsp;Daniel J. van de Pas ,&nbsp;Richard Vendamme ,&nbsp;Walter Eevers ,&nbsp;Karolien Vanbroekhoven ,&nbsp;Elias Feghali","doi":"10.1016/j.polymer.2025.128235","DOIUrl":"10.1016/j.polymer.2025.128235","url":null,"abstract":"<div><div>In recent years, there has been growth in machine learning (ML) applications in polymer science. However, applying ML strategies to solve problems faced by polymer chemists remains in its infancy. A critical challenge is designing polyurethane (PU) foams with tailored microstructures and properties, a process still largely reliant on time consuming trial-and-error. This study introduces Convolutional Neural Networks (CNNs), an optimized ML algorithm for image processing, to explore structure-property relationships in biobased PU foams derived from lignin hydrogenolysis oil. The dataset included specimens with varying compositions, characterized by compression testing and scanning electron microscopy images taken before and after compression. A 30:70 training-to-validation split was used for model development. The CNN optimized model for classification achieved excellent performance, to identify PU foam composition based on geometric features. For validation, the CNN optimized model was compared against the \"ResNet-50″ model. Across both compressed and uncompressed datasets, the presented CNN optimized model consistently outperformed \"ResNet-50″, achieving higher accuracy (up to 0.99) and high precision (0.97). The findings demonstrate the method's reliability, especially with data from compressed foams. This study underscores the transformative potential of ML in accelerating material design, offering a streamlined approach for developing PU foams with customized microstructures and enhanced performance.</div></div>","PeriodicalId":405,"journal":{"name":"Polymer","volume":"324 ","pages":"Article 128235"},"PeriodicalIF":4.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143570105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synchronously enhancing fracture toughness and mechanical strength of polyester blend composites via constructing dual-network structures of one-dimensional carbon nanofillers","authors":"De-xiang Sun ,&nbsp;Chen-hui Huang ,&nbsp;Zhi-xuan Zhang ,&nbsp;Zhi-yuan Lan ,&nbsp;Yi-fan Zha ,&nbsp;An-yan Wang ,&nbsp;Lin Guo ,&nbsp;Yong Wang","doi":"10.1016/j.polymer.2025.128242","DOIUrl":"10.1016/j.polymer.2025.128242","url":null,"abstract":"<div><div>It is challenging to achieve the trade-off between toughness, strength and stiffness with polyester blend composites for the expansion of their application in electronics, automobiles and other fields. Here, one-dimensional carbon nanofillers with different morphologies and sizes, including carbon nanofibers (CNFs) with larger diameter and straight morphology and carbon nanotubes (CNTs) with smaller diameter and coiled morphology, were introduced into polyethylene terephthalate/ethylene-butyl acrylate-glycidyl methacrylate copolymer (PET/PTW) blend composites, and the selective location of nanofillers was tailored by thermodynamic parameters and processing conditions. It was found that the dual-network structures of nanofillers was successfully constructed in blend composites, containing a CNTs network distributed at the interface of the blend and a CNFs network located in the PET matrix, respectively, which synchronously enhanced the toughness, strength and stiffness of the blend composite drastically. When the contents of CNFs and CNTs were both 1 wt%, the impact strength, Young's modulus and tensile strength of the quaternary blend composites were increased by 448.2, 22.8 and 29.1 %, separately, compared with those of the binary blend. The toughening mechanism was ascribed to the significant reduction of the matrix ligament thickness induced by the dual effects of compatibilization and preventing the aggregation of dispersed phase droplets of nanofillers. While the strengthening mechanisms were mainly ascribed to the construction of CNFs network in PET matrix and the promotion of CNTs on the crystallization of PET restricting the movement of matrix molecular segments. This work provides novel insights to manufacture the super-toughness and high-strength polyester blend composites.</div></div>","PeriodicalId":405,"journal":{"name":"Polymer","volume":"324 ","pages":"Article 128242"},"PeriodicalIF":4.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143570108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}