• Title/Summary/Keyword: fatigue measurement

검색결과 460건 처리시간 0.023초

연안 소형선박내의 공기오염 및 전자파에 기초한 선상근무 환경의 평가 (Evaluation of Environmental Conditions on Board in terms of Air Pollution and Electromagnetic Wave in Coastal Small-sized Ships)

  • 조효제;도근영;김동일;고창두;김상현
    • 한국항해항만학회지
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    • 제26권5호
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    • pp.555-561
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    • 2002
  • 연안 경비함정의 선상근무 환경은 육상근무 환경에 비하여 매우 열악하여 선상근무 기피와 선원 고령화의 원인이 되고 있다. 특히 선박내 공기오염과 전자파는 직업병을 유발시키는 원인이 된다. 따라서 안락한 선상근무 환경 및 거주 환경의 확보를 통하여 선상근무 피로도를 경감시키는 것이 필요하다. 본 연구에서는 먼저 선박내의 공기오염과 전자파의 실선 계측을 통하여 선상근무 환경을 체계적으로 평가한다. 그리고 선상근무 환경의 평가 결과에 기초하여 선상근무 피로도 경감대책을 제안한다.

Composite components damage tracking and dynamic structural behaviour with AI algorithm

  • Chen, Z.Y.;Peng, Sheng-Hsiang;Meng, Yahui;Wang, Ruei-Yuan;Fu, Qiuli;Chen, Timothy
    • Steel and Composite Structures
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    • 제42권2호
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    • pp.151-159
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    • 2022
  • This study discusses a hypothetical method for tracking the propagation damage of Carbon Reinforced Fiber Plastic (CRFP) components underneath vibration fatigue. The High Cycle Fatigue (HCF) behavior of composite materials was generally not as severe as this of admixture alloys. Each fissure initiation in metal alloys may quickly lead to the opposite. The HCF behavior of composite materials is usually an extended state of continuous degradation between resin and fibers. The increase is that any layer-to-layer contact conditions during delamination opening will cause a dynamic complex response, which may be non-linear and dependent on temperature. Usually resulted from major deformations, it could be properly surveyed by a non-contact investigation system. Here, this article discusses the scanning laser application of that vibrometer to track the propagation damage of CRFP components underneath fatigue vibration loading. Thus, the study purpose is to demonstrate that the investigation method can implement systematically a series of hypothetical means and dynamic characteristics. The application of the relaxation method based on numerical simulation in the Artificial Intelligence (AI) Evolved Bat (EB) strategy to reduce the dynamic response is proved by numerical simulation. Thermal imaging cameras are also measurement parts of the chain and provide information in qualitative about the temperature location of the evolution and hot spots of damage.

스키니 진을 즐겨입는 여대생에 대한 일반적인 증상 및 유연성 비교 (Comparison of General Symptoms and Flexibility of Female College Students Who Like to Wear Skinny Jeans)

  • 배주한
    • 대한통합의학회지
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    • 제5권1호
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    • pp.35-42
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    • 2017
  • Purpose : This study examined the symptoms and body flexibility according to physical change of the female college students who like to wear skinny jeans. Methods : This study targeted 39 female college students and conducted a questionnaire survey on physical change and disease, and measured waist flexibility and hip joint working range. Result : The study subjects showed much fatigue, subjective symptoms, and the highest varicose veins. As for comparison before and after waist flexibility measurement, the mean value of the waist flexibility was 17.97 before the experiment, and the mean value after the experiment was 17.63. Therefore there was a significant difference (P<.5). Conclusion : As a result of this study, the female college students revealed fatigue, varicose veins, and numbness, as well as waist flexibility and hip joint limitations even with a little walk.

Thermo-Mechanical Fatigue Analysis of Ribbon Wire/Ag Electrode Interfaces for PV Module

  • 박노창;홍원식;한창운;김동환
    • 한국재료학회:학술대회논문집
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    • 한국재료학회 2011년도 춘계학술발표대회
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    • pp.48.1-48.1
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    • 2011
  • In this presentation, We monitored weather data, such as global irradiance, ambient temperature, temperature of PV module, relative humidity and windspeed for 2 years, for determining accelerated test condition. then, we determined the temperature limit of accelerated test through weather data and FEM analysis. Detailed procedures will be summarized in this work. After analysing outdoor stress such as thermal stress, we decided main failure modes and mechanisms of PV module, especially solder joint of ribbon wire. we carried out the measurement of material properties such as thermal expansion coefficient for planning of accelerated test. we designed accelerated test based on FEM analysis results. we carried out thermal cycling test with 1 cell mini module for 3 months. We monitored the change of electrical performance every 1 week such as Voc, Isc, Pmax, etc. and then, we analized the ribbon wire/electrode intefaces. Detailed results will be summarized in this work.

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초음파회절방법(超音波回折方法)을 이용한 귀렬(龜裂)의 높이 측정(測定) (Measurement of the Crack Height using the Two-Probe Ultrasonic Diffraction Method.)

  • 이재옥;이승규;김영길
    • 비파괴검사학회지
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    • 제7권2호
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    • pp.35-41
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    • 1988
  • The optimum test conditions of measuring the crack height were determined for the two-probe ultrasonic diffraction method. The applicability and the accuracy of the two-probe ultrasonic diffraction method on the inclined artificial cracks and the fatigue cracks were evaluated. It us possible to measure the height of the normal and inclined artificial cracks with the maximum error of ${\pm}\;0.5mm$ with the two-probe ultrasonic diffraction method. It was found, however, that the accuracy of this method in meaasuring the height of the fatigue crack depends on the degree of closure of the crack tip. It was desirable to choose a refraction angle as small as possible, but the angle should not be so small that the distortion of the lateral waveform became appreciable.

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신경회로망을 이용한 변동하중 하에서의 균열열림점 자동측정 (Automatic Determination of Crack Opening Loading under Random Loading by the Use of Neural Network)

  • 강재윤;송지호;김정엽
    • 대한기계학회논문집A
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    • 제24권9호
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    • pp.2283-2291
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    • 2000
  • The neural network method is applied to automatically measure the crack opening load under random loading. The crack opening results obtained are compared with the visual measured results. Fatigue crack growth under random loading is predicted using the crack opening data measured by the neural network method, and the prediction results are compared with experimental ones. It is found that the neural network method can be successfully applied to consistently measure the crack opening load under random loading and also gives some results different from the results by visual measurement.

Sensitive NDE of Small Fatigue Cracks

  • Saka, Masumi
    • 비파괴검사학회지
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    • 제21권1호
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    • pp.22-31
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    • 2001
  • Some techniques developed recently for sizing smalt fatigue cracks are described. One is an ultrasonic technique which deals with a small closed crack, where both the stress closing the crack and the crack size are determined by analyzing inverse problem. Here, difficulties encountered in NDE of closed cracks by usual ultrasonic techniques are summarized in advance. Secondly, the closely coupled probes potential drop (CCPPD) technique, which is based on d-c potential drop measurement, is explained fur sizing small cracks. The CCPPD technique is not affected by crack closure. Finally, a discussion is given on NDE of materials degradation in conjunction with sensitive NDE of small cracks.

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인공지능 객체인식에 관한 파라미터 측정 연구 (A Study On Parameter Measurement for Artificial Intelligence Object Recognition)

  • 최병관
    • 디지털산업정보학회논문지
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    • 제15권3호
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    • pp.15-28
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    • 2019
  • Artificial intelligence is evolving rapidly in the ICT field, smart convergence media system and content industry through the fourth industrial revolution, and it is evolving very rapidly through Big Data. In this paper, we propose a face recognition method based on object recognition based on object recognition through artificial intelligence. In this method, Were experimented and studied through the object recognition technique of artificial intelligence. In the conventional 3D image field, general research on object recognition has been carried out variously, and researches have been conducted on the side effects of visual fatigue and dizziness through 3D image. However, in this study, we tried to solve the problem caused by the quantitative difference between object recognition and object recognition for human factor algorithm that measure visual fatigue through cognitive function, morphological analysis and object recognition. Especially, The new method of computer interaction is presented and the results are shown through experiments.

풍력발전기용 피치/요 베어링의 하중 시험 결과 (Loading Test Results of Wind Turbine Pitch/Yaw Bearing)

  • 남주석;김흥섭;이영수;한정우
    • 풍력에너지저널
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    • 제3권1호
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    • pp.61-67
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    • 2012
  • The loading test of wind turbine pitch and yaw bearings have been conducted using special test rig designed for the test of large slewing bearings. Test type was fatigue test that applied fatigue load to each bearing and followed the defined test process. Measurement data during test were rotational torque and raceway temperature, and inspected key components by disassembling the bearing after all test finished. As a results, the raceway temperature during test did not exceed the operational temperature range of lubricant and rotational torque was reduced as the bearing's rotational cycle increased. In the inspection of key components, some plastic deformation and flaking were detected at some raceway sections while other components such as ball, spacer and seal remain indefective conditions.

Non-contact monitoring of 3-dimensional vibrations of bodies using a neural network

  • Ha, Sung Chul;Cho, Gyeong Rae;Doh, Deog-Hee
    • Journal of Advanced Marine Engineering and Technology
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    • 제39권10호
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    • pp.1011-1016
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    • 2015
  • Gas piping systems in power plants and factories are always influenced by the mechanical vibrations of rotational machines such as pumps, blowers, and compressors. Unusual vibrations in a gas piping system influence possible leakages of liquids or gases, which can lead to large explosive accidents. Real-time measurements of unusual vibrations in piping systems in situ prohibit them from being possible leakages owing to the repeated fatigue of vibrations. In this paper, a non-contact 3-dimensional measurement system that can detect the vibrations of a solid body and monitor its vibrational modes is introduced. To detect the displacements of a body, a stereoscopic camera system is used, through which the major vibration types of solid bodies (such as X-axis-major, Y-axis-major, and Z-axis-major vibrations) can be monitored. In order to judge the vibration types, an artificial neural network is used. The measurement system consists of a host computer, stereoscopic camera system (two-camera system, high-speed high-resolution camera), and a measurement target. Through practical application on a flat plate, the measured data from the non-contact measurement system showed good agreement with those from the original vibration mode produced by an accelerator.