• Title/Summary/Keyword: 절단 성능

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Preparation of Porous PMMA/TiO2 Microspheres by Spray Drying Process (스프레이 건조법을 이용한 PMMA/TiO2 다공성 입자 제조 및 특성 연구)

  • Paik, Dong-Hyun;Lee, Hyunsuk;Gang, Rae-Hyoung;Kim, Yong-Jin;Lee, John Hwan;Choi, Sung-Wook
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.42 no.1
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    • pp.1-7
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    • 2016
  • Highly porous polymethyl methacrylate (PMMA) microspheres impregnated by $TiO_2$ powder were prepared by spray drying method. The particle size and the porosity were controlled by optimizing the co-solvent ratio and the polymer concentration. $TiO_2$ powder was impregnated into the microspheres upto 74.6 wt% content based on the weight of the resultant $PMMA/TiO_2$ microspheres. SEM images showed that $TiO_2$ powder was well distributed throughout the inside of the microsphere. EDX mapping showed that the Ti signal was well detected from every part of the microspheres, which was the evidence of the formation of the $PMMA/TiO_2$ composite. Hg porosimetry result showed that the porosity was found to be over 50% regardless of the $TiO_2$ contents. The final product was found to have high oil-absorbing capacity and great hiding power, both of which are key properties in designing the microsphere materials for make-up cosmetics application.

Experimental Investigation on Torsional Analysis and Fracture of Tripod Shaft for High-speed Train (고속열차용 트리포드 축의 비틀림 해석 및 파단에 대한 실험적 연구)

  • Lee, Joo Hong;Kim, Do Sik;Nam, Tae Yeon;Lee, Tae Young;Cho, Hae Yong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.40 no.11
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    • pp.979-986
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    • 2016
  • The tripod shafts of constant-velocity joint are used in both the trains KTX and KTX-sanchon. It is an important component that connects the motor reduction unit and the axle reduction unit in a power bogie. The tripod shaft not only transmits drive and brake torque in the rotational direction, but also slides in the axial direction. If the drive system is loaded with an excessive torque, the fuse part of the shaft will be fractured firstly to protect the other important components. In this study, a rig was developed for conducting torsion tests on the tripod shaft, which is a type of mechanical fuse. The tripod shafts were subjected to torsional fracture test and torsional fatigue test on the rig. The weak zone of the tripod shaft was identified, and its fatigue life was predicted using finite element analysis (FEA). After analyzing the FEA results, design solutions were proposed to improve the strength and fatigue life of the tripod shaft. Furthermore, the deterioration trend and time for failure of the tripod shaft were verified using the hysteresis loops which had been changed with the advancement of the torsional fatigue test.

Flow characteristics analysis and test in the Pelton turbine for pico hydro power using surplus water (잉여 유출수를 이용한 소수력발전용 수차의 유동특성 해석 및 시험)

  • Jeong, Seon Yong;Lee, Kye Bock
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.4
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    • pp.325-331
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    • 2016
  • Computational fluid numerical analysis using the commercial code CFX was performed to develop a Pelton turbine for a pico hydro power generator using the circulating water of a cooling tower in a large building. The performance of the Pelton turbine was examined for different design factors, such as the bucket shape, in which the Pelton wheel was connected in an appropriate manner to the pipe section, and the number of buckets in order to find the optimal design of Pelton turbine for a pico hydro power using surplus water. A benchmark test was carried out on the manufactured small scale Pelton turbine to validate the design method of the Pelton turbine by numerical analysis. The results obtained by comparing the flow characteristics and power output measured using the ultrasonic flowmeter, the pressure transducer and the oscilloscope with the numerical results confirmed the validity of the analytical design method. The possibility of developing Pelton turbines for kW class pico hydro power generators using surplus water with an average circulation velocity of 1.2 m/s for the chosen bucket shape and number of buckets in a 30 m high building was confirmed.

Development and Analysis of Physical Property of PP Shape Memory Fabrics for Emotional Garment (감성의류용 형상기억 PP직물 소재 개발과 물성분석)

  • Kim, Hyun-Ah;Kim, Seung-Jin
    • Science of Emotion and Sensibility
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    • v.14 no.1
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    • pp.117-126
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    • 2011
  • This study investigates the physical properties and manufacturing method of shape memory fabric for emotional garment made by polypropylene. For this purpose, polypropylene(PP) POY and SDY were texturized using low temperature and constant length heat treatment texturing technologies, respectively. The shape memory fabrics made using these texturized PP yarns were woven with two kinds of PET and PTT shape memory yarns on the air-jet loom and the various physical properties of four kinds of shape memory fabrics were measured and discussed. The tenacity and breaking strain of PP texturized yarns treated by low temperature and constant length heat treatment showed high weaving efficiency and the wet thermal shrinkage of PP textured yarns was shown less than 1.5%, dry thermal shrinkage was ranged between 3% and 5%, which means thermal stability compared to the PTT textured yarn with high thermal shrinkage, 5~8%. The shape memory characteristics of PP shape memory fabrics measured by Toray method showed five grade as same value as PTT shape memory fabric. The heat keeping property of the PP shape memory fabric showed 56% higher value than that of PTT shape memory fabric. The water repellency of PP shape memory fabric measured by spray method showed five grade as same value as PTT shape memory fabric treated with water repellent agent. Especially, shape memory properties of PP shape memory fabric measured by 3-D image and camera measurement methods showed similar characteristics to the PTT shape memory fabric.

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Construction of Current Sensor Using Hall Sensor and Magnetic Core for the Electric and Hybrid Vehicle (홀소자와 자기코어를 이용한 하이브리드 및 전기자동차용 전류센서 제작)

  • Yeon, Kyoheum;Kim, Sidong;Son, Derac
    • Journal of the Korean Magnetics Society
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    • v.23 no.2
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    • pp.49-53
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    • 2013
  • A current sensor is one of important component which is used for the electrical current measurement during charge and discharge of the battery, and monitoring system of the motor controller in the electric and hybrid vehicle. In this study, we have developed an open loop type current sensor using GaAs Hall sensor and magnetic core has an air gap. The Hall sensor detect magnetic field produced by the current to be measured. The 3 mm air gap core was made by HGO electrical steel sheets after slitting, winding, annealing, molding, and cutting. Developed current sensor shows 0.03 % linearity within DC current range from -400 A to +400 A. Operating temperature range was extended to the range of $-40{\sim}105^{\circ}C$ using temperature compensating electronic circuit. To Improve frequency bandwidth limit due to the air flux of PCB (Printed Circuit Board) and Hall sensor, We employed an air flux compensating loop near Hall sensor or on PCB. Frequency bandwidth of the sensor was 100 kHz when we applied sine wave current of $40A{\cdot}turn$ in the frequency range from 100 Hz to 100 kHz. For the dynamic response time measurement, 5 kHz square wave current of $40A{\cdot}turn$ was applied to the sensor. Response time was calculated time reach to 90 % of saturation value and smaller than $2{\mu}s$.

Manufacture and Evaluation of Reference Samples for Low Magnetic Moment (저자기 모멘트용 표준시료 제작 및 성능평가)

  • Park, I.W.;Hong, Y.S.;Kim, Y.M.;Yoon, H.;Lee, K.J.;Cho, S.H.
    • Journal of the Korean Magnetics Society
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    • v.18 no.1
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    • pp.1-8
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    • 2008
  • We have manufactured and evaluated reference samples for the use of low magnetic moment measurements. Before the measurements, SQUID magnetometers were magnetically shielded from external magnetic noise. We considered the purity including magnetic impurities, the optimum thickness, the modification method, and the shape in the preparation of the samples. Three paramagnetic polycrystaline metal plates of Ti, W, and Al with the area of $4mm{\times}6mm$ were prepared finally. The magnetic moments of these three samples are measured very linear up to the field of 5 T without magnetic hysteresis. The temperature deviated ratios of the magnetic moments for Ti, Al, and W from 290 K to 310 K are 0.7, 1.5, and 0.1 %, respectively. The measured magnetic moments for Ti and W samples by our research team are very well agreeable with those by two SQUID magnetometers and a VSM at Quantum Design via international round robin test. The results suggest that the prepared reference samples are well suited for the use in the low magnetic moment measurement with SQUID based magnetometers.

Bond Strength Properties of CFRP Rebar in Concrete According to the Concrete Strength (콘크리트 강도에 따른 CFRP 보강근의 부착강도 특성)

  • Kim, Ho-Jin;Kim, Ju-Sung;Kim, Young-Jin;Choi, Jung-Wook;Park, Sun-Gyu
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.9 no.4
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    • pp.569-577
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    • 2021
  • CFRP(Carbon Fiber Reinforced Plastic) can maintain the same strength even if the diameter is reduced by about one - third, and the weight is about one - twentieth of that of the deformed reinforcing bars that have been used in the construction industry. In particular, it is resistant to corrosion, which is the weakest part of reinf orcing bars, and there is no concern that it will deteriorate over time, It is light and durable, so transportation costs are low and it is convenient for high-rise buildings. This paper experimentally clarifies the adhesive properties of CFRP and clarifies its behavior. That is, bond strength test was conducted with the directness of CFRP and the strength of concrete as experimental variables, and the bond mechanism was clarified experimentally. Furthermore, based on the experimental results, we constructed the bond stress-slip-strain relationship of CFRP compared to the existing deformed reinforcing bars.

Machine Classification in Ship Engine Rooms Using Transfer Learning (전이 학습을 이용한 선박 기관실 기기의 분류에 관한 연구)

  • Park, Kyung-Min
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.2
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    • pp.363-368
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    • 2021
  • Ship engine rooms have improved automation systems owing to the advancement of technology. However, there are many variables at sea, such as wind, waves, vibration, and equipment aging, which cause loosening, cutting, and leakage, which are not measured by automated systems. There are cases in which only one engineer is available for patrolling. This entails many risk factors in the engine room, where rotating equipment is operating at high temperature and high pressure. When the engineer patrols, he uses his five senses, with particular high dependence on vision. We hereby present a preliminary study to implement an engine-room patrol robot that detects and informs the machine room while a robot patrols the engine room. Images of ship engine-room equipment were classified using a convolutional neural network (CNN). After constructing the image dataset of the ship engine room, the network was trained with a pre-trained CNN model. Classification performance of the trained model showed high reproducibility. Images were visualized with a class activation map. Although it cannot be generalized because the amount of data was limited, it is thought that if the data of each ship were learned through transfer learning, a model suitable for the characteristics of each ship could be constructed with little time and cost expenditure.

Characterization of various crystal planes of beta-phase gallium oxide single crystal grown by the EFG method using multi-slit structure (다중 슬릿 구조를 이용한 EFG 법으로 성장시킨 β-Ga2O3 단결정의 다양한 결정면에 따른 특성 분석)

  • Hui-Yeon Jang;Su-Min Choi;Mi-Seon Park;Gwang-Hee Jung;Jin-Ki Kang;Tae-Kyung Lee;Hyoung-Jae Kim;Won-Jae Lee
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.34 no.1
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    • pp.1-7
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    • 2024
  • β-Ga2O3 is a material with a wide band gap of ~4.8 eV and a high breakdown-voltage of 8 MV/cm, and is attracting much attention in the field of power device applications. In addition, compared to representative WBG semiconductor materials such as SiC, GaN and Diamond, it has the advantage of enabling single crystal growth with high growth rate and low manufacturing cost [1-4]. In this study, we succeeded in growing a 10 mm thick β-Ga2O3 single crystal doped with 0.3 mol% SnO2 through the EFG (Edge-defined Film-fed Growth) method using multi-slit structure. The growth direction and growth plane were set to [010]/(010), respectively, and the growth speed was about 12 mm/h. The grown β-Ga2O3 single crystal was cut into various crystal planes (010, 001, 100, ${\bar{2}}01$) and surface processed. The processed samples were compared for characteristics according to crystal plane through analysis such as XRD, UV/VIS/NIR/Spec., Mercury Probe, AFM and Etching. This research is expected to contribute to the development of power semiconductor technology in high-voltage and high-temperature applications, and selecting a substrate with better characteristics will play an important role in improving device performance and reliability.

Low-cost Prosthetic Hand Model using Machine Learning and 3D Printing (머신러닝과 3D 프린팅을 이용한 저비용 인공의수 모형)

  • Donguk Shin;Hojun Yeom;Sangsoo Park
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.19-23
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    • 2024
  • Patients with amputations of both hands need prosthetic hands that serve both cosmetic and functional purposes, and research on prosthetic hands using electromyography of remaining muscles is active, but there is still the problem of high cost. In this study, an artificial prosthetic hand was manufactured and its performance was evaluated using low-cost parts and software such as a surface electromyography sensor, machine learning software Edge Impulse, Arduino Nano 33 BLE, and 3D printing. Using signals acquired with surface electromyography sensors and subjected to digital signal processing through Edge Impulse, the flexing movement signals of each finger were transmitted to the fingers of the prosthetic hand model through training to determine the type of finger movement using machine learning. When the digital signal processing conditions were set to a notch filter of 60 Hz, a bandpass filter of 10-300 Hz, and a sampling frequency of 1,000 Hz, the accuracy of machine learning was the highest at 82.1%. The possibility of being confused between each finger flexion movement was highest for the ring finger, with a 44.7% chance of being confused with the movement of the index finger. More research is needed to successfully develop a low-cost prosthetic hand.