• Title/Summary/Keyword: 토우프리프레그

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Recent Research Trends in Carbon Fiber Tow Prepreg for Advanced Composites (탄소섬유 토우프리프레그 최신 연구동향)

  • Park, Yongmin;Hwang, Tae Kyung;Chung, Sangki;Park, Nohyun;Jang, Jun Yeol;Nah, Changwoon
    • Journal of the Korean Society of Propulsion Engineers
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    • v.21 no.2
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    • pp.94-101
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    • 2017
  • Tow Prepreg is the intermediate material for filament winding process that has been "pre-impregnated fiber tow" with resin system. As "dry filament winding" process emerges as a reliable alternative to conventional filament winding (called "wet filament winding") process, interest in tow prepreg as a material for dry filament winding is rising as well. In this article, we have reviewed the recent research trends in carbon fiber tow prepreg for high-performance rocket motor cases, fuel tanks for hydrogen vehicles and other high-quality commercial pressure vessels.

Carbon Fiber Tow Spreading Technology and Mechanical Properties of Laminate Composites (탄소섬유 펼침 기술 및 이를 적용한 적층 복합재료의 기계적 특성)

  • Park, Sung Min;Kim, Myung Soon;Choi, Yoon Sung;Lee, Eun Soo;Yoo, Ho Wook;Chon, Jin Sung
    • Composites Research
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    • v.28 no.5
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    • pp.249-253
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    • 2015
  • This paper reports a study on a method for achieving lightweight thermoplastic laminate composites referred to as tow spreading technology. Thickness of an unspread 12 K carbon fiber tow is reduced by increasing the tow width from 7 mm to 20 mm. The polypropylene (PP) film was used to stabilize and impregnate the spread tow, covering it into a partially consolidated prepreg: 12 K carbon fiber spread tow/PP. Laminates were fabricated from the spread tow prepreg and control laminate composites were produced from unspread tow prepreg consisting of 12 K carbon fiber and PP. The void content, tensile and flexural properties of the composite laminates were investigated. Consequently, the spread tow laminate composite exhibited lower void content and improved mechanical properties.

Measurement Method for Constituent Contents of Carbon Fiber/Epoxy Composites Using Thermogravimetric Analyzer (열중량분석기를 적용한 탄소섬유/에폭시 복합재의 구성재 함유율 측정 기법)

  • Jang, Jeong Keun;Cha, Jae Ho;Lee, Bo Mi;Yoon, Sung Ho
    • Composites Research
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    • v.33 no.6
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    • pp.341-345
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    • 2020
  • We propose a measurement method for evaluating constituent contents of carbon fiber/epoxy composites through a thermogravimetric analyzer (TGA). The sample used in the test was taken from a strand specimen made of carbon fiber/epoxy tow prepreg, and the change in weight of the sample over time was measured in real time. Using a field emission scanning electron microscope (FE-SEM), we examine the thermal damage condition of the carbon fiber depending on whether resin was removed or not. We find that it was possible to test even a small amount of sample when using TGA vis-à-vis using a conventional muffle furnace. In addition, TGA enables the temperature and exposure time to be controlled, allowing the constituent contents of composite materials to be efficiently and quantitatively evaluated.

A Study on the Micro-deformation of Plain Weave Carbon/Epoxy Composite-Polymer Foam Sandwich Structures during Curing (평직 탄소섬유 복합재료-고분자 포움 샌드위치 구조의 성형 중 미소변형에 관한 연구)

  • Kim Yong-Soo;Chang Seung-Hwan
    • Composites Research
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    • v.17 no.6
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    • pp.28-36
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    • 2004
  • Micro-tow deformation during forming of PVC foam-fabric composite sandwich structure is investigated to find out the correlation between forming condition and material deformation. The foams used in this research are PVC foams which have 4 different densities and the fabric composite is Carbon/epoxy prepreg which is plain weave (3k) as a skin material. Tow parameters such as crimp angle and tow amplitude are measured using microscope and a proper image tool and are compared with each other. In order to find out the effect of foam deformation during forming on tow deformation the compressive tests of foams are performed in three different environmental temperatures ($25^{\circ}C$, $80{\circ}C$, $125^{\circ}C$). The microscopic observation results show that the micro tow deformations are quite different from each other with respect to the foam density and forming pressure.

A Study on the Manufacturing Processability of Automatic Winding Device for Manufacturing Strand Specimens (스트랜드 시편 제작 장치의 제작 공정성 연구)

  • Cha, Jae Ho;Jang, Jeong Keun;Lee, Bo Mi;Yoon, Sung Ho
    • Composites Research
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    • v.33 no.5
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    • pp.315-320
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    • 2020
  • In this study, when strand specimens were manufactured using an automatic winding device to obtain uniform strand specimens, analysis and test were conducted to investigate the effect of thermal expansion of the mandrel on strand specimens. Also, necessity of changing materials and mandrel configuration was checked. According to the results, strand specimen received unintended tension that was created by thermal expansion of the mandrel and this unintended tension depended on the curing temperature and position of specimens. Tensile test was conducted to check that initial tension affected on the performance of carbon fiber tow prepreg. All other conditions were fixed and only the initial tension was controlled at 40 N, 60 N, and 80 N. From the results of analysis and test, neither additional tension and tension deviation due to the thermal expansion of the mandrel and the initial tension difference had a significant effect on tensile test results, because carbon fiber had sufficiently high strength compared with tension. Therefore, it was confirmed that the change of the mandrel material and configuration of the automatic winding device was unnecessary.

Establishment of a deep learning-based defect classification system for optimizing textile manufacturing equipment

  • YuLim Kim;Jaeil Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.27-35
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    • 2023
  • In this paper, we propose a process of increasing productivity by applying a deep learning-based defect detection and classification system to the prepreg fiber manufacturing process, which is in high demand in the field of producing composite materials. In order to apply it to toe prepreg manufacturing equipment that requires a solution due to the occurrence of a large amount of defects in various conditions, the optimal environment was first established by selecting cameras and lights necessary for defect detection and classification model production. In addition, data necessary for the production of multiple classification models were collected and labeled according to normal and defective conditions. The multi-classification model is made based on CNN and applies pre-learning models such as VGGNet, MobileNet, ResNet, etc. to compare performance and identify improvement directions with accuracy and loss graphs. Data augmentation and dropout techniques were applied to identify and improve overfitting problems as major problems. In order to evaluate the performance of the model, a performance evaluation was conducted using the confusion matrix as a performance indicator, and the performance of more than 99% was confirmed. In addition, it checks the classification results for images acquired in real time by applying them to the actual process to check whether the discrimination values are accurately derived.