Additive Manufacturing (AM) is a process that fabricates products by manufacturing materials according to a three-dimensional model. It has recently gained attention due to its environmental advantages, including reduced energy consumption and high material utilization rates. However, controlling defects such as melting issues and residual stress, which can occur during metal additive manufacturing, poses a challenge. The trial-and-error verification of these defects is both time-consuming and costly. Consequently, efforts have been made to develop phenomenological models that understand the influence of process variables on defects, and mechanical/ electrical/thermal properties of geometrically complex products. This paper introduces modeling techniques that can simulate the powder additive manufacturing process. The focus is on representative metal additive manufacturing processes such as Powder Bed Fusion (PBF), Direct Energy Deposition (DED), and Binder Jetting (BJ) method. To calculate thermal-stress history and the resulting deformations, modeling techniques based on Finite Element Method (FEM) are generally utilized. For simulating the movements and packing behavior of powders during powder classification, modeling techniques based on Discrete Element Method (DEM) are employed. Additionally, to simulate sintering and microstructural changes, techniques such as Monte Carlo (MC), Molecular Dynamics (MD), and Phase Field Modeling (PFM) are predominantly used.

지난 10년간 선박의 횡동요 복원력 상실에 의한 해양사고가 지속해서 증가하고 있어, 횡동요 운동을 효과적으로 줄일 수 있는 장치가 필요한 실정이다. 횡동요 감쇄 탱크는 단순한 설치만으로 횡동요 저감을 가져오는 대표적인 수동형 제어장치로 그 장점이 널리 알려져 있다. 따라서 본 연구에서는 U-튜브형 횡동요 감쇄 탱크의 수치해석 기법을 개발하고자 한다. 특히, 해석기법의 검증을 위해 자유 수면 높이를 실험을 통해 계측하였다. 수치해석기법은 메쉬 의존성, 난류모델 ( ,  , Reynolds Stress Model), 시간 간격 크기 및 반복 횟수 등의 영향을 비교하여 개발하였다. 최종적으로 개발된 해석기법은 Realizable  이 난류 모델에 10-2s 수준의 시간 간격 크기와 15 회의 반복횟수를 적용하였다. 2가지의 U-튜브형 감쇄 탱크의 조건에서 계측된 자유수면 높이를 이용하여 개발된 해석기법을 검증하였다. 본 연구의 수치해석은 RANS 기반 상용 해석 Solver인 STAR-CCM+ (ver. 17.02)을 이용하였다.

Domestic as well as global automobile manufacturers are making greater efforts in cost reduction to strengthen the competitiveness. In this study, we developed a program to effectively manage standard time of automobile assembly line, and confirm based on A-automobile factory data. For the purpose, we develop the system which is possible to manage standard time as well as calculate man-hour for automobile assembly line.

In the present work, an explicit finite element analysis technique is introduced to analyze the thermal stress fields present in the additive manufacturing process. To this purpose, a finite element matrix formulation is derived from the equations of motion and continuity. The developed code, NET3D, is then applied to various sample problems including thermal stress development. The application of heat to an inclusion from an external source establishes an initial temperature from which heat flows to the surrounding body in the sample problems. The development of thermal stress due to the mismatch between the thermal strains is analyzed. As mass scaling can be used to shorten the computation time of explicit analysis, a mass scaling of 108 is employed here, which yields almost identical results to the quasi-static results.

PURPOSES : Thermal cracking (also called low-temperature cracking) is a serious stress for asphalt pavement, especially in eastern South Korea, the northern USA, and Canada. Thermal cracking occurs when the level of thermal stress exceeds the corresponding level of low temperature strength of the given asphalt materials. Therefore, computation of thermal stress is a key factor for understanding, quantifying, and evaluating the level of low-temperature cracking resistance of asphalt pavement. In this paper, two different approaches for computing thermal stress on asphalt binder were introduced: Hopkins and Hamming’s algorithm (1967) and the application of a simple power-law function. All the computed results were compared visually; then the findings and recommendations were discussed. METHODS: Thermal stress of the tested asphalt binder was computed based on the methodology introduced in previous literatures related to viscoelastic theory. To perform the numerical analysis, MATLABTM 2D matrix-correlation and Microsoft Excel visual basic code were developed and used for the function fitting and value-minimization processes, respectively. RESULTS : Different results from thermal stress were observed with application of different computation approaches. This variation of the data trends could be recognized not only visually but also statistically. CONCLUSIONS: It can be concluded that these two different computation approaches can successfully provide upper and lower limits (i.e. boundaries) for thermal stress prediction of a given asphalt binder. Based on these findings, more reliable and reasonable thermal stress results could be provided and finally, better pavement performance predictions could also be expected.

Low temperature cracking on asphalt material is one of the serious distresses for asphalt pavement built in northern U.S., Europe and Canada. Thermal stress is a key factor for measuring (and estimating) the resistant capability of asphalt pavement against low temperature cracking. For this reason, many road agencies have recognized thermal stress as a crucial parameter for evaluating the low temperature performance of asphalt pavement materials. Thermal stress is conventionally computed through two steps. First, the relaxation modulus E(t) is generated thorough the conversion of the experimental creep compliance data D(t). Then thermal stress (T℃) is numerically estimated solving convolution integral. In this paper, a one-step approach to the calculation of thermal stress is proposed. This method is based on Laplace transformation. Thermal stress and corresponding critical cracking temperature obtained with single- and double-step procedure on a set of three mixtures are graphically and statistically compared. It is observed that the application of Laplace transformation provides reliable computation results of thermal stress compared to the conventional computation approach.

Theory of Earth’s free oscillation is revisited. Firstly, we summarized the underlying formulations, such as the equation of motion and its conversion into numerically integrable form and then explained computational procedures including the treatment of inner core-outer core boundary and core-mantle boundary, while the latter information has not been explicitly given in most publications. Secondly, we re-calculated the periods of Earth’s free oscillation modes (period >200 s) for PREM model. In doing so we acquired the values of modes missing in Dziewonski and Anderson (1981). As a case observation, one seismogram after 2011 Tohoku earthquake recorded at Daejeon, Korea (KIGAM seismic station) was briefly analyzed to identify free oscillation mode excitations on its spectra. The material in this article will be most clear guide for those on calculating the Earth’s free oscillation mode.

Among the information technology and automation that have rapidly developed in the manufacturing industries recently, tens of thousands of quality variables are estimated and categorized in database every day. The former existing statistical methods, or variable selection and interpretation by experts, place limits on proper judgment. Accordingly, various data mining methods, including decision tree analysis, have been developed in recent years. Cart and C5.0 are representative algorithms for decision tree analysis, but these algorithms have limits in defining the tolerance of continuous explanatory variables. Also, target variables are restricted by the information that indicates only the quality of the products like the rate of defective products. Therefore it is essential to develop an algorithm that improves upon Cart and C5.0 and allows access to new quality information such as loss cost. In this study, a new algorithm was developed not only to find the major variables which minimize the target variable, loss cost, but also to overcome the limits of Cart and C5.0. The new algorithm is one that defines tolerance of variables systematically by adopting 3 categories of the continuous explanatory variables. The characteristics of larger-the-better was presumed in the environment of programming R to compare the performance among the new algorithm and existing ones, and 10 simulations were performed with 1,000 data sets for each variable. The performance of the new algorithm was verified through a mean test of loss cost. As a result of the verification show, the new algorithm found that the tolerance of continuous explanatory variables lowered loss cost more than existing ones in the larger is better characteristics. In a conclusion, the new algorithm could be used to find the tolerance of continuous explanatory variables to minimize the loss in the process taking into account the loss cost of the products.1)

본 논문에서는 이종재질로 구성된 세장비가 큰 보의 차원축소와 복원의 효율성과 정확성을 입증하기 위하여 VABS와 3차원 유한요소해석 모델의 결과와 비교하였다. 그리고 3차원 유한요소모델과 차원축소 모델을 가상균열닫힘법을 이용하여 에너지 해방률을 계산하였다. 원형과 사각형의 단면에 초기 크랙을 가진 수치모델을 이용하여 보의 차원축소와 복원기법 및 가상균 열닫힘법을 이용하여 복원해석 결과 및 에너지 해방률을 비교하여 효율성과 정확성을 입증하였다. 특히 제시된 에너지 해방률 계산 기법은 고고도 무인기의 날개, 헬리콥터 로터 블레이드, 풍력 블레이드, 틸트로터 등의 정적, 동적 모델링 및 수명평가에 활용될 수 있을 것이다.

Three-dimensional motion analysis systems and force plates are used for gait phase detection and ground reaction force(GRF) or ground reaction moment(GRM) data collection. But force plates as measurement systems are restricted to laboratory environments and have limitations for abnormal walking with foot dragging. Therefore the methods were proposed to compute the GRM from the kinematic data of three-dimensional motion analysis systems. Gait phase detection with kinematic data using foot velocity algorithm(FVA) was performed. The validity of gait phase detection was obtained comparing with the results of force plates. A gait model with 7 segments was composed to compute GRM. The results of gait model with kinematic data were compared with those of force plates. The result of the vertical direction is similar. But anterior-posterior direction and lateral direction show similar tendency with some gaps.

Korean automobile industrial is in a difficult situation because of more competitive global market and lower demand. Therefore, domestic as well as global automobile manufacturers are making greater efforts in cost reduction to strengthen the competitiveness. According to statistical data, logistics cost in domestic manufacturers is higher than advanced countries. In this study, we developed program to effectively manage standard time of procurement logistics, and confirm based on A-automobile factory data. For the purpose, we develop the system which is possible to manage standard time as well as calculate man-hour. Program is not just for calculating and managing standard man-hour, scenarios analysis function will be added to calculate benefit while introduce logistics automated equipment. In this study we propose scenario using AGV instead of electric motor while move component. In the scenario analysis, job constitution is changed，and then we use system to compare the result. We can confirm standard man-hour is reduced from 22.3M/H to 14.3M/H. In future research, it is necessary scenario analysis function, and develop algorithm with realistic constraint condition.

The soybean aphid, Aphis glycines Matsumura, was introduced about a decade ago from Asia into North America where it has become a serious pest of soybeans. This invasive pest has rapidly spread throughout the midwestern United States and southern Canada since 2000. We examined 689 individuals obtained from 23 different collections in USA, Korea, China and Japan for testing eight microsatellite loci. To estimate the relative likelihood of alternative introduction scenarios of the soybean aphid, an approximate Bayesian computation (ABC) was performed for microsatellite data as implemented in DIYABC. The ABC analysis tested for three scenarios (B1, B2, and B3) hypothesizing an introduction from one of the Asian countries. In this analysis, scenario B1 obtained the highest posterior probability ranging from 0.90 to 0.91 with a 95% CI of 0.81-0.99 and 0.88-0.94, which assumes an introduction from Korea. The ABC analysis revealed that one hypothetical scenario, which assumes an introduction of the soybean aphid into USA from Korea, was very robustly suggested than the other two scenarios (from China or Japan).

Indian astronomical texts have records of lunar astronomy since the Puranic age. In the Vednga Jyotia (1350 B CE), the algorithm for computing eclipses is not found. This phenomenon was interpreted in the Siddhntic texts as the occurrence of Vyatipati Yoga. This paper attempts to explain the computing and observational method found in astronomical texts of Siddhntic period.

식품안전보건지표는 그 활용성이 높아 국외에서는 종합적인 환경보건지표 내 세부영역에서 개발되어 활용되고 있으나, 국내의 경우 환경보건지표와 독자적으로 개발되어 도입단계에 있다. 본 연구에서는 기 개발된 식품안전 보건지표를 활용할 수 있는 방안을 사례연구의 형태로 제시하였다. 본 연구에서 선정하여 제시한 활용방안으로는 지수화를 통한 통합식품안전보건지수 산출, 통합식품안전 보건지수와 이를 구성하는 식품안전보건지표간의 상관성평가, 통합식품안전보건지수와 사회경제적 지위와의 상관성평가가 있다. 지역 내에서 식품안전보건상태의 변화를 나타내는 통합식품안전보건지수I과 해당 년도의 지역별 식품안전보건수준을 나타내는 통합식품안전보건지수II가 산출되었다. 통합식품안전보건지수I은 Campylobacter jejuni, Bacillus cereus, 살모넬라, 원인미상으로 인한 식품매개질환 발생건수, 식품매개 법정감염병 발생률 중 장출혈성 대장균 발생률와 통계적으로 유의한 상관관계가 있었다. 통합식품안전보건지수II는 외국인 비율과 여성 비율이 증가할수록 통계적으로 유의하게 감소하였고, 인구밀도가 증가할 수록 통계적으로 유의하게 증가하였다. 제시된 활용방안을 통해 전반적인 국내 식품안전보건상태와 지역별연도별 식품안전보건상태의 변화원인을 파악할 수 있으며, 식품안전과 관련이 있을 것으로 예상되는 기타 요인과의 연관성을 분석하여 추가적인 추론을 할 수 있다. 이 외에도 식품안전보건지표는 다양한 방면으로 활용이 가능하고, 정책적 기준 설정 및 방향성 제시의 근거자료로도 활용할 수 있으므로 향후 더욱 활발한 연구와 지속적인 관심이 필요하다.

페리다이나믹스 이론과 이진분해 기법의 병렬연산을 이용하여 동적 균열진전 문제에 대한 애조인 형상 설계민감도 해석법을 개발하였다. 페리다이나믹스에서는 균열의 연속적인 분기를 다룰 수 있으며, Explicit 시간적분법을 채택한다. 설계민감도 해석은 애조인 변수법은 경로의존성 문제에는 적합하지 않으나 여기서는 응답해석의 경로를 이미 알고 있으므로 채택하여 사용할 수 있었다. 얻어진 해석적 설계민감도는 유한차분과 비교하여 그 정확성을 검증하였다. 유한차분법은 설계섭동량에 민감하여 비선형성이 강한 페리다이나믹스 문제에서 부정확한 설계민감도를 제시할 수 있다. 정확한 설계민감도 해석을 위해서는 이산화과정에서 C1 연속성을 가지는 체적율이 필요함을 알 수 있었다.

In this study, current sewer infiltration/Inflow(I/I) computation and application method was examined about improvement and adequacy relating to the main issues raised by the field for practitioners. The results of review about infiltration calculation method were considered to be in need of improvement at‘standards of minimum sewage calculation’. Furthermore, the results of review about I/I application method were considered to be in need of improvement at‘standards of seasonal infiltration application’and‘the relative decrease in the Annual evaluation standards’. In addition, annual I/I analysis at JC County for the four years(2009 ～ 2012) in respect of operation flow and rainfall data was conducted. The result of annual infiltration analysis, compared average daily sewage generated average infiltration rate was found in 21.95 %, infiltration by unit was found in 0.31 m3/day/cm/km and 0.12 m3/day/day, respectively. The result of annual inflow analysis, average rainfall - Inflow equations was found y = 5.499x(R2 0.793), and the average Inflow quantity by sewer extension was predicted to 0.66 m3/mm-km.