• 제목/요약/키워드: Growth prediction

검색결과 926건 처리시간 0.029초

Numerical Life Prediction Method for Fatigue Failure of Rubber-Like Material Under Repeated Loading Condition

  • Kim Ho;Kim Heon-Young
    • Journal of Mechanical Science and Technology
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    • 제20권4호
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    • pp.473-481
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    • 2006
  • Predicting fatigue life by numerical methods was almost impossible in the field of rubber materials. One of the reasons is that there is not obvious fracture criteria caused by nonstandardization of material and excessively various way of mixing process. But, tearing energy as fracture factor can be applied to a rubber-like material regardless of different types of fillers, relative to other fracture factors and the crack growth process of rubber could be considered as the whole fatigue failure process by the existence of potential defects in industrial rubber components. This characteristic of fatigue failure could make it possible to predict the fatigue life of rubber components in theoretical way. FESEM photographs of the surface of industrial rubber components were analyzed for verifying the existence and distribution of potential defects. For the prediction of fatigue life, theoretical way of evaluating tearing energy for the general shape of test-piece was proposed. Also, algebraic expression for the prediction of fatigue life was derived from the rough cut growth rate equation and verified by comparing with experimental fatigue lives of dumbbell fatigue specimen in various loading condition.

랜덤하중 하에서 피로균열진전예측 방법들의 비교 (A comparative study of methods to predict fatigue crack growth under random loading)

  • 최병익;강재윤;이학주;김정엽
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.235-240
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    • 2003
  • Methods to predict fatigue crack growth are compared in a quantitative manner for crack growth test data of 2024-T351 aluminum alloy under narrow and wide band random loading. In order to account for the effect of load ratio, crack closure model, Hater's equation and NASGRO's equation have been employed. Load interaction effect under random loading has been considered by crack closure model, Willenborg's model and Wheeler's model. The prediction method using the measured crack opening results provides the best result among the prediction methods discussed for narrow and wide band random loading data.

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랜덤하중 하에서 피로균열진전예측 방법들의 비교 (A Comparative Study of Methods to Predict Fatigue Crack Growth under Random Loading)

  • 이학주;강재윤;최병익;김정엽
    • 대한기계학회논문집A
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    • 제27권10호
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    • pp.1785-1792
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    • 2003
  • Methods to predict fatigue crack growth are compared in a quantitative manner for crack growth test data of 2024- T351 aluninum alloy under narrow and wide band random loading. In order to account for the effect of load ratio, crack closure model, Hater's equation and NASGRO's equation have been employed. Load interaction effect under random loading has been considered by crack closure model, Willenborg's model and Wheeler's model. The prediction method using the measured crack opening results provides the best result among the prediction methods discussed for narrow and wide band random loading data.

재결정 및 결정립 성장거동을 기초한 조직예측 모델에 대한 변수 결정방법 (Determination of Material Parameters for Microstructure Prediction Model Based on Recystallization and Grain Growth Behaviors)

  • 염종택;김정한;홍재근;박노광
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2009년도 춘계학술대회 논문집
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    • pp.270-273
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    • 2009
  • This work describes a method of determining material parameters included in recrystallization and grain growth models. Focus is on the recrystallization and grain growth models of Ni-Fe base superalloy, Alloy 718. High temperature compression tests at different strain, strain rate and temperature conditions were chosen to determine the material parameters of dynamic recrystallization model. The critical strain and dynamically recrystallized grain size and fraction at various process variables were quantitated with the microstructual analysis and strain-stress relationships of the compression tests. Besides, isothermal heat treatments were utilized to fit the material constants included in the grain growth model. Verification of the determined material parameters is carried out by comparing the measured data obtained from other compression tests.

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영상 및 기온 데이터 기반 배추 생육예측 모형 개발 (Development of Kimchi Cabbage Growth Prediction Models Based on Image and Temperature Data)

  • 강민서;심재상;이혜진;이희주;장윤아;이우문;이상규;위승환
    • 생물환경조절학회지
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    • 제32권4호
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    • pp.366-376
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    • 2023
  • 본 연구는 영상데이터와 환경데이터를 활용하여 배추의 생육을 예측할 수 있는 모형을 개발하기 위하여 수행되었다. 강원도 평창군에 소재한 시험포에 '청명가을' 배추를 7월 11일, 7월 19일, 7월 27일 3차례 정식하여 9월 12일까지 생육, 영상, 환경데이터를 수집하였다. 배추 생육예측 모형에 활용할 핵심인자를 선발하기 위하여 수집한 생육데이터와 기상데이터를 활용해 요소간 상관분석을 수행한 결과 생체중과 GDD, 생체중과 누적일사량의 상관계수가 0.88로 높은 상관계수를 보였으며, 생체중과 초장, 생체중과 피복면적이 각각0.78, 0.79로 유의미한 상관 관계를 보였다. 높은 상관관계를 보인 요소들 중에서 선행문헌을 참고하여 모형개발에 활용할 핵심요소로 영상에서는 피복면적을 환경데이터에서는 생육도일(GDD)을 선정하였다. GDD, 피복면적, 생육데이터를 조합하여 배추의 생체중, 엽수, 엽면적 예측 모형을 개발하였다. 단 요인 모형으로 2차함수, 시그모이드, 로지스틱 모형을 제작하였으며 평가 결과 시그모이드 형태의 예측 모형이 가장 설명력이 좋았다. GDD와 피복면적을 조합한 다요인 생육예측 모형을 개발한 결과 생체중, 엽수, 엽면적의 결정계수가 0.9, 0.95, 0.89으로 단요인 예측모형보다 예측정확도가 개선된것을 확인할 수 있었다. 개발한 모형을 검증하기 위하여 검증시험포의 조사결과로 검증한 결과 관측 값과 예측 값의 결정계수는 0.91이며 RMSE가 134.2g으로 높은 예측 정확도를 보였다. 기존의 생육 관측의 경우 기상데이터로만 예측을 하거나 영상데이터로만 예측하는 경우가 많았는데 이는 현장의 상태를 반영하지 못하거나 배추가 결구 되는 특성을 반영하지 못해 예측 정확도가 낮았다. 두 예측방법을 혼합해 각 관측방법의 약점을 보완해 줌으로써 대한민국에서 수행되고 있는 기간채소 작황예측의 정확도를 높일 수 있을 것으로 기대된다.

완도지역의 붉가시나무 생육 적지예측 및 탄소저장량 추정 (Prediction of the Optimal Growth Site and Estimation of Carbon Stocks for Quercus acuta in Wando Area)

  • 황정순;강진택;손영모;전현선
    • 한국기후변화학회지
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    • 제6권4호
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    • pp.319-330
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    • 2015
  • This study was carried out to predict the optimal growth site and estimate carbon stocks of Quercus acuta, evergreen broad-leaved trees in warm temperate zone according to climate change. The criterion for the optimal site prediction was created by quantification method with quantitative and qualitative data, collected from growth factors of stands and environmental factors of survey sites of 42 plots in Q. acuta by study relationship between growth of tree and site environmental factors. A program for the optimal site prediction was developed by using GIS engine tools. To prediction of the suitable growth site of Quercus acuta, developed program in this study applied to Wando in Jeollanam-do, distributing a various evergreen bread-leaved trees of warm temperate zone. In the results from analysis of the optimal site prediction on Q. acuta, the characteristics of the optimal site showed as follows; site environmental features of class I (the best site class for Q. acuta) was defined as 401 ~ 500 m of altitude, $21{\sim}25^{\circ}$ of slope with above hillside, residual of deposit convex of slope type with west of aspect. The area and carbon stocks of optimal site prediction by class for Q. acuta in classI showed 147.1 ha (2.5%), total 316.5 tC/ha, total $1,161tCO_2/ha/yr$ of class I, 2,703.5 ha (46.3%), total 5,817.4 tC/ha, total $21,331tCO_2/ha/yr$ of class II, 2,845.5 ha (48.6%), total 6,123.0 tC/ha, total $2,845.5tCO_2/ha/yr$ of class III and 153.7 ha (2.6%), total 330.7 tC/ha, total $1,213.7tCO_2/ha/yr$ of class IV.

작은 표면균열의 성장특성에 의한 수명예측 (A Fatigue Life Prediction by Growth Characteristics of a Small Surface Crack)

  • 서창민;임창순;강용구
    • 한국해양공학회지
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    • 제3권2호
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    • pp.617-617
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    • 1989
  • This paper deals with a fatigue life prediction of a surface crack based on the experimentally obtained relationship between surface crack length ratio $a/a_{f}$ and cycle ratio $N/N_{f}$ using micro computer. Firstly $a/a_{f}$-$N/N_{f}$ curves obtained from experimental tests, were assumed as three curves UC(the upper limit curve), LC(the lower limit curve) and MC(the middle curve), and these were utilized to predict the fatigue life. Comparing the calculated values which represent the characteristics of crack growth behaviors from the three assumed curves with the experimental ones, it has been found that in the stable crack growth region, they coincide reasonably well each other. And the differences between the fatigue lives obtained from the assumed curves and the experimental fatigue life did not exceed 20%. Using the characteristics of $a/a_{f}$-$N/N_{f}$ curves, it is possible to predict the da/dN-Kmax curves and the S-$N_{f}$ curves.

작은 표면균열의 성장특성에 의한 수명예측 (A Fatigue Life Prediction by Growth Characteristics of a Small Surface Crack)

  • 서창민;임창순;강용구
    • 한국해양공학회지
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    • 제3권2호
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    • pp.108-117
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    • 1989
  • This paper deals with a fatigue life prediction of a surface crack based on the experimentally obtained relationship between surface crack length ratio $a/a_{f}$ and cycle ratio $N/N_{f}$ using micro computer. Firstly $a/a_{f}$-$N/N_{f}$ curves obtained from experimental tests, were assumed as three curves UC(the upper limit curve), LC(the lower limit curve) and MC(the middle curve), and these were utilized to predict the fatigue life. Comparing the calculated values which represent the characteristics of crack growth behaviors from the three assumed curves with the experimental ones, it has been found that in the stable crack growth region, they coincide reasonably well each other. And the differences between the fatigue lives obtained from the assumed curves and the experimental fatigue life did not exceed 20%. Using the characteristics of $a/a_{f}$-$N/N_{f}$ curves, it is possible to predict the da/dN-Kmax curves and the S-$N_{f}$ curves.

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SiC 휘스커 보강 Al6061 복합재료의 통계학적 피로균열진전 수명예측 (Statistical Life Prediction of Fatigue Crack Growth for SiC Whisker Reinforced Aluminium Composite)

  • 권재도;안정주;김상태
    • 대한기계학회논문집
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    • 제19권2호
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    • pp.475-485
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    • 1995
  • In this study, statistical analysis of fatigue data which had obtained from respective 24 fatigue crack, was examined for SiC whisker reinforced aluminium 6061 composite alloy (SiC$_{w}$/A16061) and aluminium 6061 alloy. SiC volume fraction in composite alloy is 25%. The analysis results stress intensity factor range and 0.1 mm fatigue crack initiation life for SiC$_{w}$/A16061 composite & A16061 matrix are the log-normal distribution. And regression analysis by linear model, exponential model and multiplicative model were performed to find out the relationship between fatigue crack growth rate(da/dN) and stress intensity for find out the relationship between fatigue crack growth rate(da/dN) and stress intensity factor range(.DELTA.K) in the SiC$_{w}$/A16061 composite and examine the applicability of Paris' equation to SiC$_{w}$A16061 composite. Also computer simulation was performed for fatigue life prediction of SiC$_{w}$/A16061 composite using the statistical results of this study.udy.

머신러닝 기반 노지 환경 변수에 따른 예측 토양 수분에 미치는 영향에 대한 연구 (A study on the impact on predicted soil moisture based on machine learning-based open-field environment variables)

  • 정광훈;이명훈
    • 스마트미디어저널
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    • 제12권10호
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    • pp.47-54
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    • 2023
  • 지구 온난화로 인해 갑작스러운 기후변화와 농업 생산성에 대한 이해가 점점 중요해지면서, 토양 수분 예측은 농업에서 핵심 주제로 떠오르고 있다. 토양 수분은 농작물의 성장과 건강에 큰 영향을 미치며, 적절한 관리와 정확한 예측은 농업 생산성 향상과 자원 관리의 핵심 요소이다. 이러한 이유로 토양 수분 예측은 농업 및 환경 분야에서 큰 주목을 받고 있다. 본 논문에서는 머신러닝 알고리즘인 랜덤 포레스트를 통하여 시범포를 이용하여 노지 환경 데이터를 수집하고 분석하여 데이터 특성들과 토양 수분의 상관관계를 구하고 토양 수분 실제 값과 예측값을 비교하였으며 비교 결과 예측률이 약 92%의 정확성을 갖는다는 것을 확인하였다. 추후 연구를 통해 작물의 생장 데이터 변수들을 추가하여 토양 수분 예측을 진행한다면 토양 수분에 따른 작물의 생장 속도, 적절한 관수 타이밍 등의 주요 정보를 정확하게 제어함으로써 작물의 품질 상승, 물 관리 효율 증가 등 생산성 및 자원 효율성에 좋은 영향을 미칠 것이라고 기대된다.