• 제목/요약/키워드: deterioration prediction

검색결과 223건 처리시간 0.024초

마멸에 기초한 비대칭 열간단조 금형수명 예측에 관한 유한요소 시뮬레이션 (Finite Element Simulation on Prediction of an Asymmetric Hot Forging Die Life Based on Wear)

  • 최창혁;정경빈;김용조
    • 한국기계가공학회지
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    • 제12권4호
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    • pp.47-54
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    • 2013
  • The main cause of die failure in hot forging is wear. Die wear directly generates the gradual loss of part tolerances, thereby causing deterioration in the dimensional accuracy of a forged part. It is very important to estimate forging cycles, called as die life, at which the die should be repaired or replaced. In this study, in order to estimate the hot forging die life, the finite element simulation of wear on an asymmetric part like a ball joint socket used in vehicle was carried out based on Archard's model. Finite element simulation results were compared with wear amounts of a used die that were measured using a contact stylus profilometer. The simulation results were in relatively good agreement with measurements obtained from the virtual die which was used by 7,000 forging cycles in a forging industry. Consequently, the die life in the hot forging of the ball joint socket was estimated by 10,500 forging cycles on the finisher die.

전시물의 변색 예측을 이용한 박물관 조명기준의 작성 (Making Lighting Standard for a Museum using a Prediction of Exhibits' Color Change)

  • 김홍범;김훈;권세혁
    • 한국조명전기설비학회지:조명전기설비
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    • 제10권6호
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    • pp.37-47
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    • 1996
  • 박물관에서는 조명에 의한 전시물의 손상을 최소화하고 관객의 인식의 편의성을 증진시키기 위하여 적절한 조명 기준이 요구된다. 기준의 작성을 위하여 각국의 박물관 조명 기준을 분석하였다. 우리나라 고유의 유물에 대한 변색 특성을 측정한 결과를 이용하여, 각종 광원에 의해 눈에 뜨이는 변색이 일어나는 적산조도를 계산하고 ISO등급에 따른 분류에 수행하였다. 조명기준을 만드는 데에 필요한 여러 가지 고려 사항과 이 사항들에 대하여 결정을 내리는 과정을 서술하였다. 최종적으로 국내의 박물관에 적용할 수 있는 조명기준을 제시하였다.

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Probability-based durability design software for concrete structures subjected to chloride exposed environments

  • Shin, Kyung-Joon;Kim, Jee-Sang;Lee, Kwang-Myong
    • Computers and Concrete
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    • 제8권5호
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    • pp.511-524
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    • 2011
  • Although concrete is believed to be a durable material, concrete structures have been degraded by severe environmental conditions such as the effects of chloride and chemical, abrasion, and other deterioration processes. Therefore, durability evaluation has been required to ensure the long term serviceability of structures located in chloride exposed environments. Recently, probability-based durability analysis and design have proven to be reliable for the service-life predictions of concrete structures. This approach has been successfully applied to durability estimation and design of concrete structures. However, currently it is difficult to find an appropriate method engineers can use to solve these probability-based diffusion problems. In this paper, computer software has been developed to facilitate probability-based durability analysis and design. This software predict the chloride diffusion using the Monte Carlo simulation method based on Fick's second law, and provides durability analysis and design solutions. A graphic user interface (GUI) is adapted for intuitive and easy use. The developed software is very useful not only for prediction of the service life but for the durability design of the concrete structures exposed to chloride environments.

Prediction of Deterioration Rate for Composite Material by Moisture Absorption

  • Kim, Yun-Hae;An, Seung-Jun;Jo, Young-Dae;Bae, Chang-Won;Moon, Kyung-Man
    • Journal of Advanced Marine Engineering and Technology
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    • 제34권2호
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    • pp.296-302
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    • 2010
  • If the fiber reinforced plastic is exposed to the moisture for a long period of time, most of moisture absorption occurs on the resin place, thus dropping cohesiveness between the molecules as the water molecules permeated between high molecular chains grant high molecular mobility and flexibility. Also as the micro crack occurs due to the permeation of moisture on the interface of glass fiber and epoxy resin, it is developed to the overall damage of interface place. Hence, the study on absorption is essential as the mechanical and physical properties of fiber reinforced composites are reduced. However, the study on absorption has the inconvenience needing to expose composite materials to fresh water or seawater for 1 month or up to 1 year. Therefore, this study has exposed fiber reinforced composites to fresh water and has developed a model with an accuracy of 98% after comparing the analysis value obtained by using ANSYS while basing on the experimental value of property decline by absorption and the basic properties of glass fiber and epoxy resin used in the experiment.

An applied model for steel reinforced concrete columns

  • Lu, Xilin;Zhou, Ying
    • Structural Engineering and Mechanics
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    • 제27권6호
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    • pp.697-711
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    • 2007
  • Though extensive research has been carried out for the ultimate strength of steel reinforced concrete (SRC) members under static and cyclic load, there was only limited information on the applied analysis models. Modeling of the inelastic response of SRC members can be accomplished by using a microcosmic model. However, generally used microcosmic model, which usually contains a group of parameters, is too complicated to apply in the nonlinear structural computation for large whole buildings. The intent of this paper is to develop an effective modeling approach for the reliable prediction of the inelastic response of SRC columns. Firstly, five SRC columns were tested under cyclic static load and constant axial force. Based on the experimental results, normalized trilinear skeleton curves were then put forward. Theoretical equation of normalizing point (ultimate strength point) was built up according to the load-bearing mechanism of RC columns and verified by the 5 specimens in this test and 14 SRC columns from parallel tests. Since no obvious strength deterioration and pinch effect were observed from the load-displacement curve, hysteresis rule considering only stiffness degradation was proposed through regression analysis. Compared with the experimental results, the applied analysis model is so reasonable to capture the overall cyclic response of SRC columns that it can be easily used in both static and dynamic analysis of the whole SRC structural systems.

적층 천연고무 면진장치의 장기성능과 크리프에 대한 예측 (Prediction of Long Term Performance and Creep of Laminated Natural Rubber Bearings(NRB))

  • 황기태;서대원;조성국
    • 한국지진공학회논문집
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    • 제17권3호
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    • pp.117-125
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    • 2013
  • Seismic isolation has been considered and utilized in various industries as a way to prevent huge damage on to structures by large earthquakes in various industries. The laminated Laminated rubber bearings is are most frequently used in seismic isolation systems. The structural Structural safety could not be assured unless the performance of the rubber bearing is not guaranteed for the life time of the structure under the consideration that the bearing is a critical structural member to sustain vertical loads in the seismically isolated structure. However, there are few studies on the deterioration problems of rubber bearings during their service life. The long term performance of the rubber bearings was not considered in past designs of seismically isolated structures. This study evaluates the long term performance and creep characteristics of laminated natural rubber bearings that are used in seismically isolated buildings. For the this study, a set of accelerated thermal aging tests and creep tests are were performed on real specimens. The experimental results show that the natural rubber bearings would have a stable change rate of change for durability under severe environmental conditions for a long time.

Defection Detection Analysis Based on Time-Dependent Data

  • Song, Hee-Seok;Kim, Jae-Kyeong;Chae, Kyung-Hee
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2002년도 추계정기학술대회
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    • pp.445-453
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    • 2002
  • Past and current customer behavior is the best predicator of future customer behavior. This paper introduces a procedure on personalized defection detection and prevention for an online game site. The basic idea for our defection detection and prevention is adopted from the observation that potential defectors have a tendency to take a couple of months or weeks to gradually change their behavior (i.e. trim-out their usage volume) before their eventual withdrawal. For this purpose, we suggest a SOM (Self-Organizing Map) based procedure to determine the possible states of customer behavior from past behavior data. Based on this representation of the state of behavior, potential defectors are detected by comparing their monitored trajectories of behavior states with frequent and confident trajectories of past defectors. The key feature of this study includes a defection prevention procedure which recommends the desirable behavior state for the ext period so as to lower the likelihood of defection. The defection prevention procedure can be used to design a marketing campaign on an individual basis because it provides desirable behavior patterns for the next period. The experiments demonstrate that our approach is effective for defection prevention and efficient for defection detection because it predicts potential defectors without deterioration of prediction accuracy compared to that of the MLP (Multi-Layer Perceptron) neural network.

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냉장 컨테이너 내부의 공기유동 및 열전달 현상에 대한 CFD 시뮬레이션 (CFD Simulation of Airflow and Heat Transfer in the Cold Container)

  • 윤홍선;권진경;정훈;이현동;김영근;윤남규
    • Journal of Biosystems Engineering
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    • 제32권6호
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    • pp.422-429
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    • 2007
  • To prevent deterioration of agricultural products during cold transportation, optimized temperature control is essential. Because the control of temperature and thermal uniformity of transported products are mainly governed by cooling air flow pattern in the transportation equipment, the accurate understanding and removal of appearance of stagnant air zone by poor ventilation is key to design of optimized cooling environment. The objectives of this study were to develop simulation model to predict the airflow and heat transfer phenomena in the cold container and to evaluate the effect of fan blowing velocity on the temperature level and uniformity of products using the CFD approach. Comparison of CFD prediction with PIV measurement showed that RSM turbulent model reveals the more reasonable results than standard $k-{\varepsilon}$ model. The increment of fan blowing velocity improved the temperature uniformity of product and reduced almost linearly the averaged temperature of product.

식품용 포장제와 인쇄 용제의 안정성에 관한 연구 (Reviews About food Safety on Packaging Materials and Printing Ink Solvent)

  • 안덕준;김연욱;박훈
    • 한국포장학회지
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    • 제12권2호
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    • pp.91-96
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    • 2006
  • The widespread use of packaging materials on food packages sometimes causes off-flavor and deterioration in the food by migration of packaging materials which consist of mainly plastic materials and printing ink solvents. Even though migration of the residual packaging materials does not generally cause safety problems in the contained food, it certainly can generate off-flavor and finally deteriorate quality of the finished product. In highly consumer-oriented markets, quality of the finished product is gaining more importance economically, so profound and thorough study about migration into food to maintain the fine quality of the end product becomes an importance issue. Studies have been conducted about migration of various packaging materials and the chemical reactions between the food components and the materials used for food packaging (Brody, 1989; Mcneal and Breder, 1987; Lawson, G and Lawson, C, 1996). Several of these studies have measured partition coefficient values (Kp) between packaging materials and various food samples and involved finding factors that affected the partitioning behavior of packaging materials into the contained food. However, to enable prediction of partitioning, data are still needed on the relation of packaging material chemical structure and properties to partitioning behavior, and on the partitioning behavior of various food ingredients and the total food compositions.

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실 도로 주행 특성에 대한 연구 (A Study on Urban Driving Pattern)

  • 한상명;김창현
    • 한국자동차공학회논문집
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    • 제10권5호
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    • pp.9-14
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    • 2002
  • The durability prediction of emission control components, especially 02 sensor and catalytic converter, is getting more important as emission regulation is getting stricter and vehicle durability mileage requirement is also extended from 80,000 ㎞ to 160,000 km in Korean market. And the duration of vehicle mileage accumulation to get vehicle exhaust emission deterioration factor for certification is required to be shorter in order to reduce the vehicle development time. Since most of the vehicle emission development tests are done on chassis dynamometer and aging bench by using vehicle aging modes, real road condition and in-use driving patterns must be reflected into them to predict the vehicle emission level and to meet emission regulation especially at high mileage. In order to get the frequent driving pattern of vehicle and the aging characteristic of emission components, a vehicle was tested by changing drivers and driving roads around Seoul. Real road driving patterns were analyzed and compared with those of the certification modes which are well known in automotive industry.