• Title/Summary/Keyword: convergence ball

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Characterization and Synthesis of BN Fibers According to the Content of BN Nanopowder by Electrospinning Method (전기방사에 의한 질화붕소 나노분말의 함량에 따른 질화붕소 나노섬유 합성 및 특성 평가)

  • Lee, Jong Hyeok;Chun, Myoung Pyo;Hwang, Jin Ah;Jung, Young Geun;Chu, Jae Uk
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.31 no.7
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    • pp.455-461
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    • 2018
  • Boron nitride (BN) nanofibers were fabricated using BN nanoparticles (70 nm) by electrospinning. Morphologies such as the diameter and density of the BN nanofibers are strongly influenced by the viscosity and dispersion state of the precursor solution. In this study, the precursor solution was prepared by ball milling BN nanoparticles and polyvinylpyrrolidone (PVP, Mw~1,300,000) in ethanol, which was electrospun and then calcined to produce BN fibers. High-quality BN nanofibers were well fabricated at a BN concentration of 15 wt% with their diameters in the range of 500 nm to 800 nm; the viscosity of the precursor solution was $400mPa{\cdot}S$. The calcination of the as-electrospun BN fibers seemed to be completed by holding them at $350^{\circ}C$ for 2 h considering the TGA data. The morphologies and phases of the BN fibers were investigated by scanning electron microscopy (SEM) and X-ray diffractometry (XRD), respectively; Fourier transform infrared (FT-IR) was also used for structure analysis.

Efficiency Improvement of Transfer Drive Gear Bearings for an Automotive Automatic Transmission (승용차 자동변속기용 트랜스퍼 드라이브 기어 베어링의 효율개선 방법에 관한 연구)

  • Lee, In Wook;Han, Sung Gil;Gwak, Beom-Seop;Lee, Ho Sung;Song, Chul Ki
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.3
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    • pp.40-46
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    • 2021
  • An automatic transmission of automobiles enables comfortable driving experience with lower transmission shifting jerks. However, the assembly structure is more complicated and requires additional components with lower efficiency than the manual transmission system. Extensive research has been conducted to improve the overall transmission efficiency by optimizing each component of the automatic transmission assembly. This study focuses on enhancing the friction torque of double angular contact ball bearings used in automatic transmission. The friction torque of the bearing varies with the operating conditions such as the operational load and rotating speed. Since reducing the friction torque of the bearing tends to deteriorate the durability of the bearing, it is necessary to design the bearing having a minimum required friction torque by determining the durability life of an automatic transmission assembly, In this study, the theoretical life and friction torque of conventional and newly-developed bearings are calculated. The difference in the friction torque between the new and existing bearings are also evaluated.

A Diagnosis system of misalignments of linear motion robots using transfer learning (전이 학습을 이용한 선형 이송 로봇의 정렬 이상진단 시스템)

  • Su-bin Hong;Young-dae Lee;Arum Park;Chanwoo Moon
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.801-807
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    • 2024
  • Linear motion robots are devices that perform functions such as transferring parts or positioning devices, and require high precision. In companies that develop linear robot application systems, human workers are in charge of quality control and fault diagnosis of linear robots, and the result and accuracy of a fault diagnosis varies depending on the skill level of the person in charge. Recently, there have been many attempts to utilize artificial intelligence to diagnose faults in industrial devices. In this paper, we present a system that automatically diagnoses linear rail and ball screw misalignment of a linear robot using transfer learning. In industrial systems, it is difficult to obtain a lot of learning data, and this causes a data imbalance problem. In this case, a transfer learning model configured by retraining an established model is widely used. The information obtained by using an acceleration sensor and torque sensor was used, and its usefulness was evaluated for each case. After converting the signal obtained from the sensor into a spectrogram image, the type of abnormality was diagnosed using an image recognition artificial intelligence classifier. It is expected that the proposed method can be used not only for linear robots but also for diagnosing other industrial robots.

Comparison of Trunk Muscles Thickness in Three Different Bridge Exercises by Ultrasound Fusion Imaging (융합형 초음파 영상을 통한 세 가지 교각운동에 따른 몸통근육의 두께 비교)

  • Kang, Ji-Hyun;Shim, Jae-Hun
    • Journal of the Korea Convergence Society
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    • v.6 no.5
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    • pp.123-130
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    • 2015
  • This study examines the effects of different types of bridge exercises on the thickness of trunk muscles through ultrasound fusion imaging on 32 students. The thickness of the internal oblique (IO), external oblique (EO), transverse abdominis (TrA), and multifidus (Mf) muscles were measured in three different bridge exercises. The exercises included a supine bridge exercise, which was performed on a fixed support surface (Exercise A), a gym ball bridge exercise (Exercise B), and a sling bridge exercise (Exercise C). There were significant differences among the three bridge exercises in the IO, TrA, and Mf muscles. The IO was thickest in Exercise B followed by Exercise A and C. In contrast, the TrA and the Mf muscles were thickest in Exercise C followed by Exercise A and B. Therefore, the sling bridge exercise may be a more effective method of enhancing trunk muscle thickness than the exercises performed in other positions. Until recently, no previous studies had observed substantial changes in muscle thickness using ultrasound fusion imaging. This study suggests that sling bridge exercises contribute most to the activation of trunk muscles. Therefore, the research can contribute to the prescription and application of bridge exercises in clinical practices.

Accounting Conservatism of Public Firm of KONEX (KONEX 상장기업의 회계 보수성에 관한 연구)

  • Jeong, Jong-gu
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.341-348
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    • 2022
  • This study analyzed the accounting conservatism of companies listed on KONEX. The analysis of the existing accounting conservatism presents the analysis results for the KOSPI market or the KOSDAQ market. However, in July 2013, Korea opened a new publicly traded market called KONEX, which has been continuously operated to increase the possibility of SMEs' financing. However, research on KONEX has not been conducted relatively actively, and the current prior research is also focused on earnings management. This study differs from previous studies in that it analyzes accounting conservatism, which is one of the accounting policies. For this purpose, the period from 2014 to 2020 was set as the analysis period, and empirical analysis was conducted using the asymmetric timeliness models, Ball and Shivakumar (2005) and Basu (1997). As a result of the analysis, conditional conservatism was also confirmed in the KONEX market. That is, it was confirmed that the timeliness of the bad news was higher than the good news. Second, no significant difference was found in the results of analyzing whether there is a difference in the conservatism of KONEX companies according to the size of the auditor. In other words, it was confirmed that the size of the auditor in the KONEX market is not a significant variable. This study expanded the existing research in that it analyzed accounting policies targeting the KONEX market.

Effects of Multi-walled Carbon Nanotubes on Electrical and Wear Characteristics of High Impact Polystyrene Composites (HIPS 복합재의 전기적 및 마모 특성에 미치는 다중벽 탄소나노튜브의 영향)

  • Jeong, Yeon-Woo;Kim, Kyung-Shik;Lee, Hyun-Woo;Jeong, Man-Woo;Lee, Jae-Hyeok;Kim, Jae-Hyun;Lee, Hak-Joo;Kim, Kwang-Seop
    • Tribology and Lubricants
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    • v.31 no.3
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    • pp.95-101
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    • 2015
  • Carbon nanotubes (CNTs) are widely used in polymer composites as filler materials to enhance various characteristics of the composites because of their remarkable mechanical, electrical, and thermal properties. In this study, we investigate the effects of MWCNTs on the electrical and wear characteristics of high-impact polystyrene (HIPS) composites, and compare the results with the effects of carbon black (CB). The HIPS composites are classified as Bare-HIPS, MWCNT-HIPS composites containing 2, 3, 4, and 5 wt% MWCNTs, and CB-HIPS containing 17 wt% CB. Electrical characteristics are evaluated by measuring the surface resistance using a 4-point probe. Wear characteristics are evaluated using the reciprocating wear test, and a chrome steel ball with a curvature of 6.3 mm is used as the counterpart. The results show that the addition of MWCNTs or CB can improve the electrical and wear characteristics of HIPS composites. In the case of MWCNT-HIPS composites, surface resistance, friction coefficient, and specific wear rate decrease as the concentrations of MWCNTs increase. Moreover, the addition of MWCNTs is more effective in improving the electrical and wear characteristics of HIPS composites compared to the addition of CB. To fabricate the HIPS composite with appropriate electrical and wear characteristics, more than 4 wt% MWCNTs is added to HIPS.

Development of an Intelligent Hexapod Walking Robot (지능형 6족 보행 로봇의 개발)

  • Seo, Hyeon-Se;Sung, Young-Whee
    • Journal of the Institute of Convergence Signal Processing
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    • v.14 no.2
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    • pp.124-129
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    • 2013
  • Hexapod walking robots are superior to biped or quadruped ones in terms of walking stability. Therefore hexapod robots have the advantage in performing intelligent tasks based on walking stability. In this paper, we propose a hexapod robot that has one fore leg, one hind leg, two left legs, and two right legs and can perform various intelligent tasks. We build the robot by using 26 motors and implement a controller which consists of a host PC, a DSP main controller, an AVR auxiliary controller, and smart phone/pad. We show by several experiments that the implemented robot can perform various intelligent tasks such as uneven surface walking, tracking and kicking a ball, remote control and 3D monitoring by using data obtained from stereo camera, infrared sensors, ultra sound sensors, and contact sensors.

The Performance Test on Me-DLC Films for Improving Wear Resistance of LM-Guide (LM 가이드의 내마모성 향상을 위한 Me-DLC 코팅박막의 성능평가)

  • Kang, Eun-Goo;Lee, Dong-Yoon;Kim, Seong-Young
    • Journal of the Korean Society for Precision Engineering
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    • v.29 no.4
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    • pp.409-416
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    • 2012
  • Recently, surface modification technology is of importance to improve the wear resistance and the corrosive resistance for high accurate mechanical parts such as LM guide, Ball Screw and Roller Bearing etc., Those has generally featured on rolling contact mechanism to improve not only the wear and the friction, but also the accuracy and the corrosion performances. For surface modifications of high accurate mechanical parts, normally thermal spray, PVD, CVD and E.P. processes have been used with many materials such as DLC, raydent, W, Ni, Ti etc. Diamondlike carbon (DLC) films possess a combination of attractive properties and have been largely employed to modify the tribological behaviors such as friction, wear, corrosion, fretting fatigue, biocompatibility, etc. However, for rolling contact mechanism mechanical parts DLC films are needed to study for commercial benefit. Rolling contact mechanism has features on effects of cyclic motions and stresses, and also not simply sliding motions. The papers focused on the performance test of wear and corrosive resistance according to Me-DLC film thickness. And also, its thickness effect of wear analysis was carried out through the simulation of the maximum shear stress under the rolling contact surface. As the results, Me-DLC films have more potential to improve the wear resistance for high precision mechanical parts than raydent films.

Improved Lung and Pulmonary Vessels Segmentation and Numerical Algorithms of Necrosis Cell Ratio in Lung CT Image (흉부 CT 영상에서 개선된 폐 및 폐혈관 분할과 괴사 세포 비율의 수치적 알고리즘)

  • Cho, Joon-Ho;Moon, Sung-Ryong
    • Journal of Digital Convergence
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    • v.16 no.2
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    • pp.19-26
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    • 2018
  • We proposed a numerical calculation of the proportion of necrotic cells in pulmonary segmentation, pulmonary vessel segmentation lung disease site for diagnosis of lung disease from chest CT images. The first step is to separate the lungs and bronchi by applying a three-dimensional labeling technique from a chest CT image and a three-dimensional region growing method. The second step is to divide the pulmonary vessels by applying the rate of change using the first order polynomial regression, perform noise reduction, and divide the final pulmonary vessels. The third step is to find a disease prediction factor in a two-step image and calculate the proportion of necrotic cells.

Synthesis of SiC Nanoparticles by a Sol-Gel Process (나노 실리카와 카본블랙이용 탄화열 반응으로 나노 SiC 합성 및 특성)

  • Jeong, Kwang-Jin;Bae, Dong-Sik
    • Korean Journal of Materials Research
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    • v.23 no.4
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    • pp.246-249
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    • 2013
  • Nano-sized ${\beta}$-SiC nanoparticles were synthesized combined with a sol-gel process and a carbothermal process. TEOS and carbon black were used as starting materials for the silicon source and carbon source, respectively. $SiO_2$ nanoparticles were synthesized using a sol-gel technique (Stober process) combined with hydrolysis and condensation. The size of the particles could be controlled by manipulating the relative rates of the hydrolysis and condensation reactions of tetraethyl orthosilicate (TEOS) within the micro-emulsion. The average particle size and morphology of synthesized silicon dioxide was about 100nm and spherical, respectively. The average particles size and morphology of the used carbon black powders was about 20nm and spherical, respectively. The molar ratio of silicon dioxide and carbon black was fixed to 1:3 in the preparation of each combination. $SiO_2$ and carbon black powders were mixed in ethanol and ball-milled for 12 h. After mixing, the slurries were dried at $80^{\circ}C$ in an oven. The dried powder mixtures were placed in alumina crucibles and synthesized in a tube furnace at $1400{\sim}1500^{\circ}C$ for 4 h with a heating rate of $10^{\circ}C$/min under flowing Ar gas (160 cc/min) and furnace cooling down to room temperature. SiC nanoparticles were characterized by XRD, TEM, and SAED. The XRD results showed that high purity beta silicon carbide with excellent crystallinity was synthesized. TEM revealed that the powders are spherical shape nanoparticles with diameters ranging from 15 to 30 nm with a narrow distribution.