Foundry has an important economic value in the industry. However, the generation of air pollutants like particulate and odor are serious. Due to the unavoidable usage of molding sand, particulate occurs in almost all the processes. That accounts for the majority of respirable dust in the size less than 10 ㎛. As well as particulate, over 22 species of odor-causing gases and VOCs including hydrogen sulfide and ammonia are occurred. Therefore, the development of equipment that can simultaneously remove TVOC and particulate is regarded as an essential research. In this study, the spraying absorbent system was connected with the shear bag filter for the purpose to remove TVOC and particulate simultaneously. Maximization of process efficiency for the affective factors like the powder combination and injection method is conducted. The experiment was performed at the de-molding process of one foundry plant. Through these devices, the removal efficiency of more than 95% for TVOC was achieved with the absorbent that composed by 800 mesh Activated carbon (80%) and 300 mesh zeolite (20%). Also, the durability and economic evaluation were assessed. In the result of Durability assessment, the available recovery to maintain the deodorizing effect at 90% was counted to 350 degree.

본 연구는 문헌탐구에 기초하여 학생들의 다양한 시행착오가 예상되는 교수․학습 소재로서 ‘요일 찾기’, ‘Fermat의 점 찾기’ 그리고 ‘사각형의 무게중심 찾기’를 선정하여 Lakatos의 증명과 반박의 원리에 따른 교수․학습에 적용한 후, 황혜정(2001)의 수학적 사고의 분류에 따라 분석해봄으로써 실제 고등학교 수학교육 현장으로 적용가능성을 모색해보고자 한다. 의도적(purposive) 표본선정 방법으로 4명의 연구 대상자를 선정하여 정성적 사례연구를 실시한 결과 다음과 같은 결론을 얻었다. Lakatos의 증명과 반박의 원리를 활용한 교수․학습은 학생들이 다양한 추측을 제기하고 추측에 대한 반례를 찾으며 반례를 분석하여 이전보다 세련되고 확장된 추측의 개선을 경험함으로써 수학적 지식이 발전하는 과정의 본질적 측면을 학생들이 체험할 수 있고 그러한 과정에서 다양한 수학적 사고가 발현된다는 측면에서 교육적 가치가 있다는 점을 확인할 수 있었다.

Industrial natural ventilation systems consist of gravity ventilator, the high/low windows and doors. Especially, the high windows play an important role in the industrial natural ventilation systems. Generally speaking, industrial high windows are divided into 3 types; louver type, 45° open type and 90° open type. This study was numerically and experimentally conducted. Three types of windows were tested to know the ventilation characteristics and estimate the ventilation efficiencies. Numerically, computational fluid dynamics software (AIR PAK Ver. 2.0) was used to observe the flow characteristics inside the industrial building and the concentration contours generated by the tracer gas method. Experimentally, the flow visualization technique and the tracer gas method were applied with the model building to characterize the flow pattern inside the model building and to estimate the ventilation efficiencies with the different windows. It was found that 90° open type window was most effective for the discharge of pollutants from the industrial building. On the other hand, the louver type window was found to be less effective than any other windows.