• Journal of Welding and Joining
• /
• 제13권2호
• /
• pp.68-81
• /
• 1995

This paper presents an analytical solution to predict the transient temperature distribution in fillet arc welding. The analytical solution is obtained by solving a transient three -dimensional heat conduction equation with convection boundary conditions on the surfaces of an infinite plate with finite thicknesses, and mapping an infinite plate onto the fillet weld geometry with energy equation. The electric arc heat input on fillet weld and on infinite plate is assumed to have a traveling bivariate Gaussian distribution. To check the validity of the solution, GTA and FCA welding experiments were performed under various welding conditions. The actual isotherms of the weldment cross - sections at various distances from the arc start point are compared with those of simulation result. As the result shows a satisfactory accuracy, this analytical solution can be used to predict the transient temperature distribution in the fiIIet weld of finite thickness under a moving bivariate Gaussian distributed heat source. The simplicity and short calculation time of the analytical solution provides rationales to use the analytical solution for modeling the welding control systems or for an optimization tool of welding process parameters.

• 대한지리학회지
• /
• 제43권6호
• /
• pp.1002-1015
• /
• 2008

이 논문에서는 기상관측소의 기온 및 강수 관측치를 이용한 공간적 분포도 작성에 수치표고모델(DEM)과 다변량 크리깅의 적용 가능성을 검토하였다. 기온 및 강수와 상관성을 가지면서 연구지역의 모든 지점에서 값을 제공하는 고도자료를 분포도 작성에 이용함으로써, 미관측 지점에서의 정보 부재 효과를 완화하면서 지형효과를 잘 반영하는 분포도를 작성하고자 하였다. 제주도 지역의 2005년 1월, 4월, 8월 및 10월의 월평균기온 및 월강수량 분포도 작성 사례 연구를 통해, 고도자료를 공동 크리깅에 의해 통합하였을 때 평활화 효과를 완화하면서 지형효과를 잘 반영하는 기온 및 강수 분포도 작성이 가능하였다. 또한 단변량 지구통계 기법인 정규 크리깅과 비교하였을 때, 보다 향상된 예측 능력을 나타내었다. 부가적으로 고도자료와의 상관성이 높을수록, 상대적 너겟 효과가 적을수록 예측 능력이 향상됨을 확인할 수 있었다.

• 소성∙가공
• /
• 제4권1호
• /
• pp.69-78
• /
• 1995

The arbitrary Lagrangian-Eulerian(ALE) finite element analysis is applied to the axisymmetric hot extrusion through continuous dies. In order to simulate hot forming problems, an ALE scheme for temperature analysis is proposed. The computed results are compared with experimental results as with those by pure Lagrangian method. In the present study mesh control is accomplished by the use of isoparametric mapping of quadrilaterals.

• 한국초전도저온공학회:학술대회논문집
• /
• 한국초전도저온공학회 2002년도 학술대회 논문집
• /
• pp.177-180
• /
• 2002

A numerical model to obtain the temperature distribution in a radiation shield of cryogenic systems was proposed. Conformal mapping was used to transform the eccentric physical region of the upper plate to the concentric numerical region. The effects of the thickness of the radiation shield, the emissivities of the vacuum chamber and the radiation shield, and the eccentricity between the centers of the upper plate and the contact area with a cryocooler on the maximum temperature difference in a radiation shield were shown.

• 한국농림기상학회:학술대회논문집
• /
• 한국농림기상학회 2005년도 추계 학술발표논문집
• /
• pp.202-205
• /
• 2005

• 한국농림기상학회:학술대회논문집
• /
• 한국농림기상학회 2005년도 추계 학술발표논문집
• /
• pp.208-211
• /
• 2005

• 한국자동차공학회논문집
• /
• 제11권5호
• /
• pp.29-36
• /
• 2003

Exhaust manifolds suffer from serious temperature variation during the thermal fatigue test. The spatial distribution of temperature changes at each moment. Because transient flow can not be simulated during the long period of temperature change, the simulation can not be performed by conjugate heat transfer analysis. In this study, a new procedure for transient thermal analysis is established by decoupling fluid-solid analysis. The procedure consists of (1) transient CFD calculation (2 cycles), (2) mapping heat transfer coefficient to the inner surface of solid mesh as a boundary condition of heat conduction analysis and (3) transient heat conduction analysis in the long period (30 min). The realistic temperature change can be predicted by this procedure.

• 한국추진공학회:학술대회논문집
• /
• 한국추진공학회 2017년도 제48회 춘계학술대회논문집
• /
• pp.388-391
• /
• 2017

본 연구에서는 상용 전산 유체 해석 코드와 상용 유한 요소 해석 코드를 연계하여 연속가변 추력제어 시스템의 열전달 해석을 수행하였다. 유동해석을 수행하여 온도 및 대류 열전달 계수를 도출하였고, 이 결과 값을 Mapping 방식을 이용하여 열전달 해석의 경계 조건으로 부가하였다. 열전달 해석을 수행하여 왕복 운동하는 추력조절기의 기밀을 위하여 장착되는 O-ring에 전달되는 온도를 예측하였다.

• Plant Breeding and Biotechnology
• /
• 제1권1호
• /
• pp.1-8
• /
• 2013

Low-temperature stress is an important factor controlling the growth and development of rice (Oryza sativa L.) in temperate region. In this study, a molecular linkage map consisting of 136 SSR markers was employed to identify QTL associated with cold tolerance at the seedling stage. 80 recombinant inbred lines (RILs) from an intersubspecific cross between Milyang23 (O. sativa ssp. Indica) and Hapcheonaengmi3, a japonica weedy rice and the parents were evaluated for leaf discoloration and SAPD value of seedlings. Rice plants were grown for 15 days in the low-temperature condition (13/20℃ day/night) and the control condition (25/20℃ day/night) in the growth chamber. The degree of leaf discoloration showed a highly significant correlation with the SPAD value in the low-temperature plot (r = -0.708, P < 0.0001). A total of four QTLs for SPAD were identified and the phenotypic variance explained by each QTL ranged from 5.4 to 16.0%. Two QTLs detected in the control condition were located on chromosomes 2 and 5, respectively. Two QTL on chromosomes 1 and 4 were detected at the low-temperature condition and Hapcheonaengmi3 alleles increased the SPAD values at these loci. Substitution mapping was conducted to delimit the position of qSPA-4 using introgression lines derived from the same cross. Results indicated that qSPA-4 was located in a 810-Kb region flanked by RM16333 and RM16368. The results indicated that Hapcheonaengmi3 contains QTL alleles that are likely to improve cold tolerance of Indica rice.

• 한국도로학회논문집
• /
• 제20권2호
• /
• pp.127-135
• /
• 2018

PURPOSES : This study develops various models that can estimate the pattern of road surface temperature changes using machine learning methods. METHODS : Both a thermal mapping system and weather forecast information were employed in order to collect data for developing the models. In previous studies, the authors defined road surface temperature data as a response, while vehicular ambient temperature, air temperature, and humidity were considered as predictors. In this research, two additional factors-road type and weather forecasts-were considered for the estimation of the road surface temperature change pattern. Finally, a total of six models for estimating the pattern of road surface temperature changes were developed using the MATLAB program, which provides the classification learner as a machine learning tool. RESULTS : Model 5 was considered the most superior owing to its high accuracy. It was seen that the accuracy of the model could increase when weather forecasts (e.g., Sky Status) were applied. A comparison between Models 4 and 5 showed that the influence of humidity on road surface temperature changes is negligible. CONCLUSIONS : Even though Models 4, 5, and 6 demonstrated the same performance in terms of average absolute error (AAE), Model 5 can be considered the optimal one from the point of view of accuracy.