• Title/Summary/Keyword: 탄소직물

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Tensile Property Analysis of NCF Composite Laminated Structure for HP-CRTM Forming Process (HP-CRTM 성형공법을 적용하기 위한 NCF 복합재 적층구조에 따른 인장특성 분석)

  • Byeon, Ki-Seok;Shin, Yu-Jeong;Jeung, Han-Kyu;Park, Si-Woo;Roh, Chun-Su;Je, Jin-Soo;Kwon, Ki-Chul
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.18 no.1
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    • pp.59-64
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    • 2019
  • In recent years, the HP-CRTM method, which has the ability to produce carbon fiber-reinforce plastic composites at high speeds, has come into the spotlight in the automotive parts industry, which demands high productivity. Multi-axial carbon fabric, an intermediate material used in this HP-CRTM molding process, consists of layered fibers without crimp, which makes it better in terms of tensile and shear strength than the original woven fabrics. The NCF (non-crimp fabric) can form the layers of the carbon fiber, which have different longitudinal and lateral directions, and ${\pm}{\theta}$ degrees, depending on the product's properties. In this research, preforms were made with carbon fibers of ${\pm}45^{\circ}$ and $0/90^{\circ}$, which were lamination structures under seven different conditions, in order to create the optimal laminated structure for automobile reinforcement center floor tunnels. Carbon fiber composites were created using each of the seven differently laminated preforms, and polyurethane was used as the base material. The specimens were manufactured in accordance with the ASTM D3039 standards, and the effect of the NCF lamination structure on the mechanical properties was confirmed by a tensile test.

Optimization of Biotransformation Process for Sodium Gluconate Production by Aspergillus niger (Aspergillus niger를 이용한 글루콘산 나트륨 생산 생변환 공정의 최적화)

  • 박부수;조병관;이상윤;임승환;김동일;김병기
    • KSBB Journal
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    • v.14 no.3
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    • pp.309-314
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    • 1999
  • In order to produce high concentration of sodium gluconate, optimization of the fermentation conditions, such as glucose concentration, inoculum size, dissolved oxygen concentration and glucose feeding method, was examined. When the glucose concentration was maintained in the range of 30∼50 g/L during the batch fermentation, glucose conversion yield and productivity were 92.2% and 6.0 g/L/hr, respectively. In the case of the low concentration below 30 g/L, the yield decreased by about 25%. As the inoculum size increased above 20%(w/v), lag phase was shortened but the productivity decreased. The dissolved oxygen level of 60∼70% was shown to be the threshold point for 75% of increase in the productivity of sodium gluconate. Finally, optimal glucose feeding rate was determined using various feeding methods such as exponential feeding, feeding based on the average glucose consumption rate and was determined using various feeding methods such as exponential feeding, feeding based on the average glucose consumption rate and on the oxygen uptake rate and etc. Our result shows that glucose feeding, based on the oxygen uptake rate is a very simple, efficient and robust method, especially when oxygen is consumed as a substrate for the bioconversion. Using the above glucose feeding strategy under the optimized condition, 255 g/L of sodium gluconate concentration, 12 g/L/hr of productivity and 95% of glucose conversion yield were achieved with A. niger ACM53.

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Resistive E-band Textile Strain Sensor Signal Processing and Analysis Using Programming Noise Filtering Methods (프로그래밍 노이즈 필터링 방법에 의한 저항 방식 E-밴드 텍스타일 스트레인 센서 신호해석)

  • Kim, Seung-Jeon;Kim, Sang-Un;Kim, Joo-yong
    • Science of Emotion and Sensibility
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    • v.25 no.1
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    • pp.67-78
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    • 2022
  • Interest in bio-signal monitoring of wearable devices is increasing significantly as the next generation needs to develop new devices to dominate the global market of the information and communication technology industry. Accordingly, this research developed a resistive textile strain sensor through a wetting process in a single-wall carbon nanotube dispersion solution using an E-Band with low hysteresis. To measure the resistance signal in the E-Band to which electrical conductivity is applied, a universal material tester, an Arduino, and LCR meters that are microcontroller units were used to measure the resistance change according to the tensile change. To effectively handle various noises generated due to the characteristics of the fabric textile strain sensor, the filter performance of the sensor was evaluated using the moving average filter, Savitsky-Golay filter, and intermediate filters of signal processing. As a result, the reliability of the filtering result of the moving average filter was at least 89.82% with a maximum of 97.87%, and moving average filtering was suitable as the noise filtering method of the textile strain sensor.