• Title/Summary/Keyword: Life Prediction

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Life Analysis of Relays based on Life Prediction Method (수명예측 방법에 따른 계전기의 수명분석)

  • Shin, Kun-Young;Lee, Duk-Gyu;Lee, Hi Sung
    • Journal of the Korean Society of Safety
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    • v.27 no.4
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    • pp.115-120
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    • 2012
  • In order to establish preventive maintenance standards through analysis & reliability prediction of about 60,000pcs of 20kindsof relays and contractors used for Seoul subway trains, several life prediction methodologies were applied. Firstly, Occurrence, Severity, Detection were defined and predicted by applying operation characteristic of EMU to the number of actions of relays & contactors which the manufacturers generally offer as the life cycle data. Secondly, failure distribution and average life of parts were analyzed through interpretation of field data based on a lot of experience which had built up in the field for a long time. Finally, using the 217PLUS standard as a reliability prediction program, comparative analysis of use reliability and inherent reliability was done through reliability prediction at the part level and system level.

Design of Hull Residual Life Prediction System Considering Corrosion and Coating (부식과 도장을 고려한 선체잔여수명예측시스템 설계)

  • Park, Seong-Whan;Lee, Han Min
    • Journal of the Society of Naval Architects of Korea
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    • v.50 no.2
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    • pp.104-110
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    • 2013
  • In this paper, the design procedure and results for 'Residual Life Prediction System Considering Corrosion and Coating' are explained, which is one module of 'Life-cycle Management System of Ship and Offshore Plant's' Operation. This 'Residual Life Prediction System' has two main functions; one is residual life prediction function based on probability processing using corrosion measurement data of ship's major structural members, and another is rust rate prediction function based on visual image processing of inspection photos. The analysis of system user requirements and functions are introduced, and the structure and environment of the developed system are explained.

Development of a Tool Life Prediction Program for Increasing Reliability of Cutting Tools (공구의 신뢰성 향상을 위한 수명 예측 프로그램 개발)

  • Kim Bong-Suk;Kang Tae-Han;Kang Jae-Hun;Song Jun-Yeob;Lee Soo-Hun
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.14 no.3
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    • pp.1-7
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    • 2005
  • The prediction for tool life is one of the most important factors for increasing reliability, stability, and productivity of manufacturing system. This paper deals with a tool life prediction method in view of reliability assessment for cutting tools. In this study, flank wear was focused among multi-factors deciding the tool wear state. First, tool life was predicted by correlation between flank wear and cutting time, based on the extended Taylor tool life equation of turning, including parameters of cutting speed, feed rate, and cutting depth. Second, each of cutting conditions of end-milling was equivalently converted to apply ball end-mill data to the extended Taylor equation. The web-based prediction program for tool life was developed as one of reliability assessment programs for machine tools.

A Study on Life Estimation of a Forging Die (단조 금형의 수명 평가에 관한 연구)

  • Choi, C.H.;Kim, Y.J.
    • Transactions of Materials Processing
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    • v.16 no.6
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    • pp.479-487
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    • 2007
  • Die life is generally estimated taking failure life and wear amount into consideration. In this study, the forging die life was investigated considering both of these two factors. The fatigue life prediction for the die was performed using the stress-life method, i.e. Goodman's and Gerber's equations. The Archard's wear model was used in the wear life simulation. These die life prediction techniques were applied to the die used in the forging process of the socket ball joint of a transportation system. A rigid-plastic finite element analysis for the die forging process of the socket ball was carried out and also the elastic stress analysis for the die set was performed in order to get basic data for the die fatigue life prediction. The wear volume of the die was measured using a 3-dimensional measurement apparatus. The simulation results were relatively in good agreement with the experimental measurements.

Estimation of Tearing Energy for Fatigue Life Prediction of Rubber Material (고무의 피로 수명 예측을 위한 찢김에너지 수식화)

  • Kim, Ho;Kim, Heon-young
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.172-177
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    • 2004
  • Fatigue life prediction is based on fracture mechanics and database which is established from experimental method. Rubber material also uses the same way for fatigue life prediction. But the absence of standardization of rubber material, various way of composition by each rubber company and uncertainty of fracture criterion makes the design of fatigue life by experimental method almost impossible. Tearing energy which has its origin in energy release rate is evaluated as fracture criterion of rubber material and the applicability of fatigue life prediction method are considered. The system of measuring tearing energy using the principal of virtual crack extension method and fatigue life prediction by the minimum number of experiments are proposed.

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A Review on Ammunition Shelf-life Prediction Research for Preventing Accidents Caused by Defective Ammunition (불량탄 안전사고 예방을 위한 탄약 수명 예측 연구 리뷰)

  • Young-Jin Jung;Ji-Soo Hong;Sol-Ip Kim;Sung-Woo Kang
    • Journal of the Korea Safety Management & Science
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    • v.26 no.1
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    • pp.39-44
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    • 2024
  • In order to prevent accidents via defective ammunition, this paper analyzes recent research on ammunition life prediction methodology. This workanalyzes current shelf-life prediction approaches by comparing the pros and cons of physical modeling, accelerated testing, and statistical analysis-based prediction techniques. Physical modeling-based prediction demonstrates its usefulness in understanding the physical properties and interactions of ammunition. Accelerated testing-based prediction is useful in quickly verifying the reliability and safety of ammunition. Additionally, statistical analysis-based prediction is emphasized for its ability to make decisions based on data. This paper aims to contribute to the early detection of defective ammunition by analyzing ammunition life prediction methodology hereby reducing defective ammunition accidents. In order to prepare not only Korean domestic war situation but also the international affairs from Eastern Europe and Mid East countries, it is very important to enhance the stability of organizations using ammunition and reduce costs of potential accidents.

Fatigue Life Prediction by Elastic-Plastic Fracture mechanics for Surface Flaw Steel (표면결함재에 관한 탄소성 파괴역학에 의한 피로수명 예측)

  • Gang, Yong-Gu;Seo, Chang-Min;Lee, Jong-Sik
    • Journal of Ocean Engineering and Technology
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    • v.9 no.2
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    • pp.112-122
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    • 1995
  • In this work, prediction of fatigue life and fatigue crack growth are studied. 4th order polynominal function is presented to describe the crack growth behaviors from artifical pit of SM45C steel. Crack growth curves obtained from 4th order polyminal growth equations are in good agreement with experimental data The crack growth behaviors at arbitrary stress levels and investigated by the concept of elastic-plastic fracture mechanics using ${\Delta}J$. Fatigue life prediction are carried out by numerical integral method. Prediction lives obtained by proposed method in this study, is in good agreement with the experimental ones. Life prediction results calculated by using of ${\Delta}J$ better than those of ${\Delta}K$.

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Life Risk Assessment of Landslide Disaster Using Spatial Prediction Model (공간 예측 모델을 이용한 산사태 재해의 인명 위험평가)

  • Jang, Dong-Ho;Chung, C.F.
    • Journal of Environmental Impact Assessment
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    • v.15 no.6
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    • pp.373-383
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    • 2006
  • The spatial mapping of risk is very useful data in planning for disaster preparedness. This research presents a methodology for making the landslide life risk map in the Boeun area which had considerable landslide damage following heavy rain in August, 1998. We have developed a three-stage procedure in spatial data analysis not only to estimate the probability of the occurrence of the natural hazardous events but also to evaluate the uncertainty of the estimators of that probability. The three-stage procedure consists of: (i)construction of a hazard prediction map of "future" hazardous events; (ii) validation of prediction results and estimation of the probability of occurrence for each predicted hazard level; and (iii) generation of risk maps with the introduction of human life factors representing assumed or established vulnerability levels by combining the prediction map in the first stage and the estimated probabilities in the second stage with human life data. The significance of the landslide susceptibility map was evaluated by computing a prediction rate curve. It is used that the Bayesian prediction model and the case study results (the landslide susceptibility map and prediction rate curve) can be prepared for prevention of future landslide life risk map. Data from the Bayesian model-based landslide susceptibility map and prediction ratio curves were used together with human rife data to draft future landslide life risk maps. Results reveal that individual pixels had low risks, but the total risk death toll was estimated at 3.14 people. In particular, the dangerous areas involving an estimated 1/100 people were shown to have the highest risk among all research-target areas. Three people were killed in this area when landslides occurred in 1998. Thus, this risk map can deliver factual damage situation prediction to policy decision-makers, and subsequently can be used as useful data in preventing disasters. In particular, drafting of maps on landslide risk in various steps will enable one to forecast the occurrence of disasters.

Technology for Fatigue Life Prediction of Mechanical Components using Multibody Dynamics (다물체동력학을 이용한 기계 부품의 피로수명 예측 기술)

  • Han, Hyeong-Seok
    • 연구논문집
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    • s.27
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    • pp.47-55
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    • 1997
  • Fatigue life prediction of mechanical components is necessary to develop new products, which is very expensive and time-consuming. This paper reviews technologies proposed for computation of dynamic stress in mechanical components. The methods based on multibody dynamics are considering more real operational conditions than other methods. The technology for fatigue life prediction without the prototype for experiment results in cost and time saving. This technology can be applied to design of various mechanical components like carbody.

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Life Prediction by Lethargy Coefficient under Dynamic Load (동적인장하중시 무기력상수에 의한 수명 예측)

  • Kwon, S.J.;Song, J.H.;Kang, H.Y.;Yang, S.M.
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.7
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    • pp.91-98
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    • 1997
  • Because of a complicated behavior of fatigue in mechanical structures, the analysis of fatigue is in need of much researches on life prediction. A method is developed for the dynamic tensile strength analysis by simple tensile test, which is for the failure life prediction by lethargy coefficient of various materials. Then it is programed to analyze the failure life prediction of mechanical system by virtue of fracture. Thus the dynamic tensile strength analysis is performed to evaluate life parameters as a numerical example, using the developed method.

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