• 소성∙가공
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• 제31권1호
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• pp.17-22
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• 2022

Hot stamping is widely used to manufacture structural parts to satisfy requirements of eco-friendly vehicles. Recently, hot forming technology using uncoated steel sheet is being studied to reduce cost and solve patent problems. In particular, research is focused on process technology capable of suppressing the generation of an oxide layer. To evaluate the oxide layer in the hot stamping process, Gleeble testing machine can be used to evaluate the oxide layer by controlling the temperature history and the atmosphere condition. At this time, since cooling by gas injection is impossible to protect the oxide layer on the surface of a specimen, research on a method for securing a quenching speed through natural cooling is required. This paper proposes a specimen shape design method to secure a target quenching speed through natural cooling when evaluating the oxide layer of an un-coated boron steel sheet by Gleeble test. For the evaluation of the oxide layer of the un-coated steel sheet through the Gleeble test, dog-bone and rectangular type specimens were used. In consideration of the hot stamping process, the temperature control conditions for the Gleeble test were set and the quenching speed according to the specimen shape design was measured. Finally, the quenching speed sensitivity according to shape parameter was analyzed through regression analysis. A quenching speed prediction equation was then constructed according to the shape of the specimen. The constructed quenching speed prediction equation can be used as a specimen design guideline to secure a target quenching speed when evaluating the oxide layer of an un-coated boron steel sheet by the Gleeble test.

• International Journal of Naval Architecture and Ocean Engineering
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• 제13권1호
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• pp.379-395
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• 2021

For the complicated structural details in ships and offshore structures, the traditional hotspot stress approaches are known to be sensitive to the element variables of element topologies, sizes, and integration schemes. This motivated to develop a new approach for predicting reasonable hotspot stresses, which is less sensitive to the element variables and easy to be implemented the real marine structures. The three-point bending tests were conducted for the longitudinal attachments with the round and rectangular weld toes. The tests were reproduced in the numerical simulations using the solid and shell element models, and the simulation technique was validated by comparing the experimental stresses with the simulated ones. This paper considered three hotspot stress approaches: the ESM method based on surface stress extrapolation, the Dong's method based on nodal forces along a weld toe, and the proposed method based on nodal forces perpendicular to an imaginary vertical plane at a weld toe. In order to study the element sensitivities of each method, 16 solid element models and 8 shell element models were generated under the bending and tension loads, respectively. The element sensitivity was analyzed in terms of Stress Concentration Factors (SCFs) in viewpoints of two statistical quantities of mean and bias with respect to the reference SCFs. The average SCFs predicted by the proposed method were remarkably in good agreement with the reference SCFs based on the experiments and the ship rules. Negligibly small Coefficients of Variation (CVs) of the SCFs, which is measure of statistical bias, were drawn by the proposed method.

• 한국분말재료학회지
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• 제29권6호
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• pp.459-467
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• 2022

Soft magnetic powder materials are used throughout industries such as motors and power converters. When manufacturing Fe-based soft magnetic composites, the size and shape of the soft magnetic powder and the microstructure in the powder are closely related to the magnetic properties. In this study, Fe-Si-Al-P alloy powders were manufactured using various manufacturing process parameter sets, and the process parameters of the vacuum induction melt gas atomization process were set as melt temperature, atomization gas pressure, and gas flow rate. Process variable data that records are converted into 6 types of data for each powder recovery section. Process variable data that recorded minute changes were converted into 6 types of data and used as input variables. As output variables, a total of 6 types were designated by measuring the particle size, flowability, apparent density, and sphericity of the manufactured powders according to the process variable conditions. The sensitivity of the input and output variables was analyzed through the Pearson correlation coefficient, and a total of 6 powder characteristics were analyzed by artificial neural network model. The prediction results were compared with the results through linear regression analysis and response surface methodology, respectively.

• Advances in aircraft and spacecraft science
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• 제10권1호
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• pp.51-65
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• 2023

In this paper, the effect of deepness on in-plane free vibration behavior of a curved functionally graded (FG) nanobeam based on nonlocal elasticity theory has been investigated. Differential equations and boundary conditions have been developed based on Hamilton's principle. In order to figure out the size effect, nonlocal theory has been adopted. Properties of material vary in radial direction. By using Navier solution technique, the amount of natural frequencies has been obtained. Also, to take into account the deepness effect on vibrations, thickness to radius ratio has been considered. Differences percentage between results of cases in which deepness effect is included and excluded are obtained and influences of power-law exponent, nonlocal parameter and arc angle on these differences percentage are studied. Results show that arc angle and power law exponent parameters have the most influences on the amount of the differences percentage due to deepness effect. It has been observed that the inclusion of geometrical deep term and material distribution results in an increase in sensitivity of dimensionless natural frequency about variation of aforementioned parameters and a change in variation range of natural frequency. Finally, several numerical results of deep and shallow curved functionally graded nanobeams with different geometry dimensions are presented, which may serve as benchmark solutions for the future research in this field.

• 대한토목학회논문집
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• 제30권2A호
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• pp.161-168
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• 2010

국내 가동 중 일부 원전의 원자로건물에 부착식 텐던이 설치되어 있고, 부착식 텐던에 대한 유효 긴장력 평가는 이들 원전의 계속운전을 위한 주요 현안으로 부각되고 있다. 따라서, 본 연구에서는 System Identification 기법을 이용한 부착식 텐던의 유효 긴장력 평가를 위하여, SI 기법에 유효한 주요 매개변수의 영향 평가를 수행하고 최적의 매개변수를 도출하였다. 본 연구를 위하여, 원자로건물 벽체의 1/5 축소모형 시험체를 제작하였고, 유효 긴장력과 고유진동수 및 변위와의 상관성을 분석하기 위하여 Impact test, SIMO sine sweep test 및 광섬유센서와 변위계에 의한 휨시험을 수행하였다. 시험결과, 고유진동수와 변위 모두 유효 긴장력과 좋은 상관성을 지니는 것으로 나타나, 이들 매개변수 모두 SI 기법의 입력자료로 활용되어 부착식 텐던의 유효 긴장력 예측이 가능한 것으로 분석되었다.

• 대한토목학회논문집
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• 제28권1B호
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• pp.137-147
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• 2008

SVE 공법은 휘발성 유기물로 오염된 불포화대의 정화 공법으로 널리 적용되어 왔다. 본 연구에서는 SVE 적용시 오염물 제거 기작을 관찰하기 위해 모형조 시험을 수행하였으며, 이로부터 SVE의 주요 특징인 tailing 현상, 즉 후반부로 갈수록 제거 속도가 급격히 느려지는 꼬리 효과를 확인하였다. 본 연구에서는 액상 막에서의 확산 제약 현상을 고려할 수 있는 수치 모델을 적용하였으며, 모형조 시험 결과와 구축된 수치 모델링을 통해 SVE의 전형적인 특징이 꼬리 현상을 적절하게 모사할 수 있었다. 또한 4가지 변수에 대한 민감도 분석을 수행하여, 총토양농도의 백분율은 액상확산계수가 클수록, 가스상 확산계수가 클수록, 실제확산경로가 짧을수록, 물포화도가 작을수록 빠르게 감소함을 확인하였다.

• 대한토목학회논문집
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• 제30권3A호
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• pp.241-256
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• 2010

본 연구에서는 변장비 70에 가까운 도전적인 현수교 단면을 개발하는데 목적을 두고 있다. 이를 위하여 먼저 강박스 현수교의 제원을 수집 분석하였다. 그 결과를 보면 강박스 현수교에서 경간장과 형상변수(교폭, 형고, 변장비, 고폭비)는 상관관계가 낮았고 고유진동수와 형상변수의 상관관계도 낮은 것으로 나타났으며, 상관관계가 높은 경간장과 고유진동수 관계는 신뢰구간별 추정식을 제시하였다. 그리고 교폭, 진동수비, 질량, 질량관성모멘트, 수직 및 비틈 고유진동수 변화에 따른 플러터 풍속의 민감도 분석을 실시하였는데, 타 변수보다 비틈 고유진동수가 플러터 풍속에 미치는 영향이 가장 큰 것으로 나타났다. 주경간장 1111 m인 현수교의 내풍 단면을 개발하기 위하여 최소 단면폭과 형고를 제약조건으로 하여 총 30개의 단면에 대한 풍동실험을 실시하고, 이로부터 한계풍속 기준을 충분히 만족하는 단면을 찾았다. 그리고 다중모드 플러터 해석으로 개발한 단면의 내풍안정성을 검증하였다. 본 연구에서 제시한 세장 단면은 향후 장대 현수교 설계시 활용할 수 있을 것으로 판단된다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.435-435
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• 2022

디지털 필터 기반의 기저유출 분리 기법은 하천유량으로부터 기저유량을 분리하는 기법으로서 적절한 분석을 위해서는 필터 매개변수에 대한 추정이 요구된다. 이 연구에서는 비교적 간단한 방법으로 기저유출을 분리할 수 있는 단일 매개변수를 가진 디지털 필터 기반의 기저유출 분리 기법에 대하여 민감도 분석을 수행하였으며, 민감도 분석 결과를 바탕으로 적정 매개변수 범위를 결정하였다. 적용된 디지털 필터 기반의 기저유출 분리 기법은 Lyne-Hollick(LH), Chapman, Chapman-Maxwell(CM), EWMA 기법이다. 분석 대상 지점은 낙동강 지류 하천 중 8년이상 연속된 유량측정 기록이 존재하는 25개 수위관측소이다. 민감도 분석을 위한 기저유출 분리 기법별 매개변수 범위는 과거 연구 사례에 근거하여 LH, Chapman, CM 기법의 경우 0.9 ~ 0.99, EWMA 기법은 0.003 ~ 0.015로 선정하였다. 기저유출 분리 기법별 민감도 분석 결과, EWMA 기법이 매개변수 변화에 따른 기저유출 지표의 변화가 가장 적은 것으로 분석되었으며, LH 기법이 민감도가 가장 큰 것으로 분석되었다. 또한, LH 기법과 EWMA 기법은 수위관측소에 따라 산정된 기저유출 지수가 큰 차이를 보였으며, 이는 각 수위관측소의 유황곡선에서 10%와 90%에 해당하는 유량의 무차원 변동량에 기인한 것으로 분석되었다. 각 기저유출 분리 기법별 적용성 검토 결과, Chapman과 CM 기법은 기저유출만 존재하는 비 강우 기간에서 기저유출을 분리하는 오류가 확인됨에 따라, 비교적 유량 변동이 큰 우리나라의 유출 특성상 Chapman과 CM 기법의 적용은 부적절한 것으로 판단된다. LH 기법과 EWMA 기법은 홍수 수문곡선 상승부에 대한 기저유출의 비율, 비 강우 기간에 대한 기저유출 분리 오류 등을 검토하여, EWMA 기법은 0.012 ~ 0.015, LH 기법은 0.950 ~ 0.975로 선정하였다.

• Geomechanics and Engineering
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• 제31권2호
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• pp.129-147
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• 2022

The properties of soil are naturally highly variable and thus, to ensure proper safety and reliability, we need to test a large number of samples across the length and depth. In pile foundations, conducting field tests are highly expensive and the traditional empirical relations too have been proven to be poor in performance. The study proposes a state-of-art Particle Swarm Optimization (PSO) hybridized Artificial Neural Network (ANN), Extreme Learning Machine (ELM) and Adaptive Neuro Fuzzy Inference System (ANFIS); and comparative analysis of metaheuristic models (ANN-PSO, ELM-PSO, ANFIS-PSO) for prediction of bearing capacity of pile foundation trained and tested on dataset of nearly 300 dynamic pile tests from the literature. A novel ensemble model of three hybrid models is constructed to combine and enhance the predictions of the individual models effectively. The authenticity of the dataset is confirmed using descriptive statistics, correlation matrix and sensitivity analysis. Ram weight and diameter of pile are found to be most influential input parameter. The comparative analysis reveals that ANFIS-PSO is the best performing model in testing phase (R² = 0.85, RMSE = 0.01) while ELM-PSO performs best in training phase (R² = 0.88, RMSE = 0.08); while the ensemble provided overall best performance based on the rank score. The performance of ANN-PSO is least satisfactory compared to the other two models. The findings were confirmed using Taylor diagram, error matrix and uncertainty analysis. Based on the results ELM-PSO and ANFIS-PSO is proposed to be used for the prediction of bearing capacity of piles and ensemble learning method of joining the outputs of individual models should be encouraged. The study possesses the potential to assist geotechnical engineers in the design phase of civil engineering projects.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.18-18
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• 2022

Barley has been used for the production of malt in the brewing industry. Malting is the process of preparing barley through partial germination. Malt extract is the most important quality parameter for malt quality. The grain and malt quality parameters of ten Korean malting barley varieties were studied. Malts was prepared using Phoeix automated micro malting system(Phoenix Bio, Australia). Quality analysis of Barley and malt was determined according to European brewery convention(EBC, 1998) and American society of brewing chemists(ASBC, 1997) method. And the hordeins of barley and malt were extracted with 50% isopropyl alcohol(IPA, 2-propanol) of 1% dithiothreitol(DTT). The analysis of hordeins was carried out by ultra-performance liquid chromatography(UPLC). The mean values of 1000-grains weight, assortment rate, protein content, starch content, beta-glucan content, husk rate, germination energy, germination capacity and water sensitivity of grain were 45.8g, 86.8%, 11.9%, 58.0%, 3.8%, 14.0%, 96.2%, 97.2%, 10.0%, respectively. The mean values of protein content, friability, diastatic power, extract, soluble protein, Kolbach index, beta-glucan of malt and wort were 11.3%, 87.6%, 201WK(Windish Kolbach), 79.3%, 4.6%, 41%, 85mg/L, respectively. UPLC analysis of grain and malt hordeins revealed that the amount of hordeins significantly degraded during malting. Also, we could successfully be used to compare hordein polypeptide patterns with malt quality.