Relationship between axial compression strength and longitudinal microvoid size for PAN-based carbon fibers

Sugimoto, Yoshiki; Shioya, Masatoshi; Yamamoto, Katsuhiro; Sakurai, Shinichi

doi:10.1016/j.carbon.2012.02.053

Cited by 27 publications

(17 citation statements)

References 18 publications

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“…Recently, mechanical properties of single CF filaments have been evaluated. [31,32] With the advent of our new method, effects of CF surface modifications on "affinity enhancement at interfaces" and "changes in mechanical strength" would be discussed separately. As another scheme for detection of interactions between two dissimilar materials, chemical force microscopy (CFM) has been proposed.…”

Section: Methodsmentioning

confidence: 99%

A feasibility study on direct measurements of interaction forces between carbon fiber surfaces and other substances

et al. 2020

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Mechanical properties of carbon fiber (CF) reinforced plastic composites are influenced by physicochemical interactions between CF surfaces and matrix polymers. Poor interfacial adhesion between CF surfaces and matrix polymer molecules caused by inertness of graphitic carbon still remains to be solved. Deeper comprehension of the interfacial properties would promote advancement of technologies enhancing the physicochemical interactions. Versatile methods for evaluation of CF surface properties along with interactions at the CF/polymer interface are required. In the present paper, we propose a method to measure interaction forces between CF surfaces and other substances with the aid of atomic force microscope (AFM). Small CF chips were mounted on AFM cantilevers to measure forces between the CF chip surfaces and other materials. Interaction forces between CF chips with/without ultraviolet generated ozone (UV-ozone) treatment and epoxy precursor molecules were monitored. It has been widely accepted that the UV-ozone treated CF surfaces exhibit superior affinity to organic molecules. Results of the interaction force measurements were consistent with the knowledge. This is the first paper reporting direct measurement of interaction forces between CF surfaces and other substances.

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Section: Methodsmentioning

confidence: 99%

A feasibility study on direct measurements of interaction forces between carbon fiber surfaces and other substances

et al. 2020

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“…They also act as a stress concentrator for crack propagation, which remarkably deteriorates mechanical properties of CFs. 7) One of the solutions should be to coat the CF surfaces with ceramic materials such as silicon nitride or silicon carbide.…”

Section: Introductionmentioning

confidence: 99%

Protection of carbon fiber surfaces with silicon-based ceramic coating

Sugimoto

Sato

Hotta

2019

J. Ceram. Soc. Japan

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Production and utilization of carbon fibers (CFs) and CF reinforced plastic composites have been greatly widespread because of their distinguished properties. Although recycling of post-consumer CFs is required, recycled CFs often suffer from surface defects which diminish their quality. This article presents a process that create ceramic thin layers on the CF surfaces. CFs covered with ¡-Si 3 N 4 and ¢-SiC layers were prepared readily and they were characterized by significantly improved oxidation resistivity. The method would be available to recuperate properties of the recycled CFs and might convert the post-consumer CFs into value-added products.

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“…Chen et al [ 9 ] proposed a hybrid model of genetic algorithm and improved particle swarm optimization to optimize the radial basis function neural network for real-time predicting of the carbon fiber manufacturing process. According to all the kinds of descriptions mentioned above, we know that they mostly previously analyzed properties with the aid of different instruments [ 10 ], considering solely relationship between the productive parameters and the fiber properties in the literature. This situation resulted for two main reasons, on the one hand, numerous researchers in materials science had different perspectives in the study of the productive process, while on the other hand, the technological process for carbon fiber is a nonlinear system, containing a lot of separate processes: polymerization, spinneret, coagulating baths, washing, stretching, applying oil, drying, pre-oxidation, carbonization, and more.…”

Section: Introductionmentioning

confidence: 99%

The Bi-Directional Prediction of Carbon Fiber Production Using a Combination of Improved Particle Swarm Optimization and Support Vector Machine

Xiao

Hao

2014

Materials

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This paper creates a bi-directional prediction model to predict the performance of carbon fiber and the productive parameters based on a support vector machine (SVM) and improved particle swarm optimization (IPSO) algorithm (SVM-IPSO). In the SVM, it is crucial to select the parameters that have an important impact on the performance of prediction. The IPSO is proposed to optimize them, and then the SVM-IPSO model is applied to the bi-directional prediction of carbon fiber production. The predictive accuracy of SVM is mainly dependent on its parameters, and IPSO is thus exploited to seek the optimal parameters for SVM in order to improve its prediction capability. Inspired by a cell communication mechanism, we propose IPSO by incorporating information of the global best solution into the search strategy to improve exploitation, and we employ IPSO to establish the bi-directional prediction model: in the direction of the forward prediction, we consider productive parameters as input and property indexes as output; in the direction of the backward prediction, we consider property indexes as input and productive parameters as output, and in this case, the model becomes a scheme design for novel style carbon fibers. The results from a set of the experimental data show that the proposed model can outperform the radial basis function neural network (RNN), the basic particle swarm optimization (PSO) method and the hybrid approach of genetic algorithm and improved particle swarm optimization (GA-IPSO) method in most of the experiments. In other words, simulation results demonstrate the effectiveness and advantages of the SVM-IPSO model in dealing with the problem of forecasting.

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Relationship between axial compression strength and longitudinal microvoid size for PAN-based carbon fibers

Cited by 27 publications

References 18 publications

A feasibility study on direct measurements of interaction forces between carbon fiber surfaces and other substances

A feasibility study on direct measurements of interaction forces between carbon fiber surfaces and other substances

Protection of carbon fiber surfaces with silicon-based ceramic coating

The Bi-Directional Prediction of Carbon Fiber Production Using a Combination of Improved Particle Swarm Optimization and Support Vector Machine

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