• Title/Summary/Keyword: 사용수명예측

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경도측정을 이용한 고온 사용설비의 잔여수명 예측

  • 김재철;이해무
    • Journal of the KSME
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    • v.32 no.4
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    • pp.351-357
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    • 1992
  • 고온 사용 설비의 잔여수명을 진단하는 비파괴적인 여러 가지 방법 중에서 현장에서 간단히 측 정을 함으로써 경년열화 정도를 비교적 쉽게 알아낼 수 있는 경도법에 대하여 살펴보았다. 이 방법은 크립손상 평가뿐만 아니라 피로 손상 평가에도 사용되고 있으며 외국의 경우 현장에서 많이 사용되고 있는, 가장 보편화된 방법 중의 하나이다. 국내의 경우에도 노후화된 고온 사용 설비가 상당수되기 때문에 설비의 안전성이나 경제적인 운용을 위해서 이들의 손상 정도를 정 기적으로 진단할 필요성이 매우 크나 이에 대한 연구 성과는 외국에 비하여 미미한 편이기 때 문에 앞으로 이에 대한 많은 노력이 이루어져야 한다고 생각되나. 특히 현장에서는 휴대용 시 험기를 사용하여야 하나 수명평가에는 비커스 경도값을 사용하고 있기 때문에 이들의 경도 환 산에 대한 D/B 확충이 시급한 실정이다. 또한 기존 기술의 습득 및 손상 평가의 정확도 향상, 새로운 방법들의 개발 그리고 이들의 현장 적용 등을 위해서는 실기 사용재의 입수, 정보교환, 전문가시스템(expert system) 개발을 위한 D/B 구축 등 산 . 학 . 연의 협동이 절실히 요구된다.

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Deterioration and Life Assessment of Rubber Elastomer on contact to Fuel-II (연료접촉 고무 탄성체의 열화 및 수명예측 연구-II)

  • Han, Jeong-sik;Jeong, Byoung-hun;Kim, Young-wun;Hong, Jinsook;Chung, Keunwoo
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2017.05a
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    • pp.160-162
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    • 2017
  • When rubber elastomer has contact with fuel, since the component and additive having low molecular weight can flow out, the physical properties of both elastomer and fuel could be hindered. In order to predict the life of the rubber elastomer, this study is to determine the change of weight, thickness, hardness, strain, and compression set as mechanical properties of the sealant rubber O-ring, which was dependent on volume, temperature, and storage time of the contacted fuel. We also determined purity of fuel via GC analysis and measured gross heat of combution. The results could be used as a reference to evaluate the life of the rubber elastomer.

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Remaining Life Assessment of High Temperature Steam Piping (고온 증기 파이프의 잔여수명 평가)

  • 윤기봉
    • Journal of Welding and Joining
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    • v.13 no.2
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    • pp.12-24
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    • 1995
  • Recently, more researches have been actively performed for the assessment of material degradation and residual-life of elevated temperature plant components, as some of domestic fossil power plants become older than 30 years. In this paper, results of on_site residual life assessment are reported for main steam pipes of Youngwol power station #2 which have operated since 1965. For critical weld locations such as butt welds branch welds, Y_sections and a T-section, replication technique and hardness measurement technique were employed for life_assessment. When cracks were detected by conventional NDT tests, crack growth life was calculated using a computer code. On the other hand, for matrix of pipes, residual life was quantitatively estimated by an analytic method and material degradation was estimated qualitatively using diameter measurement data and grain-boundary etching method. Also, direction in further improvement of on-site life assessment techniques are proposed.

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Life Prediction and Evaluation of Fracture Toughness of a Cr-Mo Degraded Steel During Long Service (장기 사용 Cr-Mo강 열화재의 파괴 인성 평가와 수명예측)

  • 권재도
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.8
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    • pp.1421-1428
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    • 1992
  • It has been increasingly recognized that the safety analysis considering fracture mechanics is required of the pressure vessels made of 2 1/4 Cr-1Mo steel for safe operation due to temper-embrittlement during long term service. In this study, the fracture toughnesses of degraded and recovered 2 1/4 Cr-1Mo steels have been studied with J$_{IC}$ test specimens at room temperature and the results will be compared with the data obtained from the Charpy impact test. The fracture toughness data from above experiments will be applied to life prediction based on the surface crack growth for degraded and recovered Cr-Mo pressure vessels.

Study of Prediction of Reliability of Barrel in Small Arms by Dispersion Anlaysis (분산도 분석기법을 통한 총열 신뢰성 예측에 관한 연구)

  • Kim, Hyun Jun;Chae, Je Wook;Choe, Eui Jung
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.2
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    • pp.227-232
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    • 2013
  • This study proposes a method for predicting the reliability of the barrel in small arms by analyzing the dispersion. The periodicity with which the barrel needs to be changed can be determined by detecting the inner surface directly or by inspecting scratches inside the barrel using an optical sensor. However, soldiers and directors in the logistics command need a more easy way to check the periodicity of barrel. Therefore, this study focuses on the relation between the firing round and the dispersion. A simple equation can be experimentally derived from pre-tests and analyses. This equation is confirmed through firing tests. In this sense, it can be easily applied to determine the periodicity with which the barrel of small arms needs to be changed in the field army.

Low-Cycle Fatigue Life Prediction in GTD-111 Superalloy at Elevated Temperatures (초내열합금 GTD-111의 고온 저주기피로 수명예측)

  • Yang, Ho-Young;Kim, Jae-Hoon;Yoo, Keun-Bong;Lee, Han-Sang;You, Young-Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.7
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    • pp.753-758
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    • 2011
  • The Ni-base super-heat-resistant alloy, GTD-111, is employed in gas turbines because of its high temperature strength and oxidation resistance. It is important to predict the fatigue life of this superalloy in order to improve the efficiency of gas turbines. In this study, low-cycle fatigue tests are performed as variables of total strain range and temperature. The relationship between the strain energy density and number of cycles to failure is examined in order to predict the low-cycle fatigue life of the GTD-111 superalloy. The fatigue life predicted by using the strain-energy methods is found to coincide with that obtained from the experimental data and from the Coffin-Manson method.

Prediction of Useful Life by Heat Aging of Motor Fan Isolating Rubber (모터팬 방진고무부품의 노화수명 예측)

  • Kim, W.S.;Woo, C.S.;Cho, S.J.;Kim, W.D.
    • Elastomers and Composites
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    • v.37 no.2
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    • pp.107-114
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    • 2002
  • This paper discusses the accelerated heat aging tests were carried out to predict the useful life of EPDM isolating rubber components of ventilation fan motor for clean room. 20% compression set results changes as the threshold are used for assessment of the useful life and the time to threshold value were plotted against reciprocal of absolute temperature to give the Arrhenius plot. The useful life at variable temperatures and activation energy are obtained from the Arrhenius relationship. An accelerated test program to assess useful life can be represented an appreciable investment in time was designed. We also considered the effect of antioxidant agents.

Estimation of Carbonation and Service Life of Box Culvert for Power Transmission Line (박스형 전력구의 콘크리트 탄산화에 의한 잔존수명 예측)

  • Woo, Sang Kyun;Lee, Yun;Yi, Seong Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.16 no.4
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    • pp.116-121
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    • 2012
  • The construction of underground structures such as box culverts for electric power transmission is increasing more and more, and the life extension of these structures is very important. Carbonation-induced corrosion in concrete may often occur in a high carbon dioxide environment. In this study, the risk of carbonation of two concrete box culverts in an urban area was evaluated by measuring the carbonation rate and concrete cover depth. Then, the carbonation-free service life at the depth of the steel was calculated, based on in situ information, by the Monte Carlo simulation. The service life of box culvert due to carbonation was estimated over 250 years via Monte Carlo simulation.

Long Time Creep Strength and Life Prediction of Steam Turbine Rotor Steel by Initial Strain Method (화력발전용 로터강의 초기 변형률법에 의한 장시간 크리프 수명 및 강도 예측)

  • 오세규;정순억
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.17 no.6
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    • pp.1321-1329
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    • 1993
  • Long time creep strength and life prediction of 1% Cr-Mo-V and 12% Cr rotor steel were performed by using round-bar type specimens under static load at 500-600.deg. C TTP (time temperature parameter), MCM (minimum commitment method) and ISM (initial strain method newly devised) as life prediction methods were investigated, and the results could be summarized as follows. (1) The minimum parameter of SEE (standard error) by TTP was proved as LMP (larson-miller parameter), and the minimum parameter of RMS (root mean squares), by data less than 10$^{3}$hrs was MHP (manson-haferd parameter). (2) The parameters of the minimum and the maximum strength values predicted in $10^{5}$hrs creep life of 1% Cr-Mo-V steel by TTP were LMP and MSP, respectively. In case of 12% Cr steel above $550^{\circ}C$ OSDP (orr-sherby-dorn parameter) was minimum and MSP (manson-succop parameter) was maximum, but below $550^{\circ}C$, the inverse phenomena was observed. On the other hand the creep strengths before $10^{3}hrs$ life by MCM were similar to those by TTP, but the strengths after $10^{3}hrs$ life were 10-25% lower than those by TTP. (3) Creep strengths by ISM were maximum 5% lower than those by TTP. Because $10^{5}hrs$ strengths were similar to those of the lower band by TTP, the ISM was safer than the TTP.

Remaining Useful Life of Lithium-Ion Battery Prediction Using the PNP Model (PNP 모델을 이용한 리튬이온 배터리 잔존 수명 예측)

  • Jeong-Gu Lee;Gwi-Man Bak;Eun-Seo Lee;Byung-jin Jin;Young-Chul Bae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1151-1156
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    • 2023
  • In this paper, we propose a deep learning model that utilizes charge/discharge data from initial lithium-ion batteries to predict the remaining useful life of lithium-ion batteries. We build the DMP using the PNP model. To demonstrate the performance of DMP, we organize DML using the LSTM model and compare the remaining useful life prediction performance of lithium-ion batteries between DMP and DML. We utilize the RMSE and RMSPE error measurement methods to evaluate the performance of DMP and DML models using test data. The results reveal that the RMSE difference between DMP and DML is 144.62 [Cycle], and the RMSPE difference is 3.37 [%]. These results indicate that the DMP model has a lower error rate than DML. Based on the results of our analysis, we have showcased the superior performance of DMP over DML. This demonstrates that in the field of lithium-ion batteries, the PNP model outperforms the LSTM model.