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도시생활폐기물과 저품위 무연탄 혼합연료의 열분해 반응특성
오광중(Kwang Joong Oh),이형돈(Hyung Don Lee),서종범(Jong Beom Seo),전수빈(Soo Bin Jeon),조상원(Sang Won Cho) 大韓環境工學會 2010 대한환경공학회지 Vol.32 No.11
본 연구의 목적은 생활폐기물에 저품위 무연탄의 혼합 후 열분해 반응 특성을 연구하는데 목적이 있다. 반응 변수로 혼합율, 반응온도, 승온속도에 따른 열분해조건을 고찰하였다. 그 결과, 저품위 무연탄 20 wt.%를 첨가한 혼합 시료가 3,500 kcal/kg 이상의 저위발열량 확보를 위한 최적의 혼합비로 나타났다. 가장 높은 반응속도상수 도출을 위해서는 700℃의 조건에서 이루어 질 것으로 판단되었다. 또한 시간당 온도의 비가 증가할수록 반응속도상수가 선형적으로 높게 나타났으나, 열분해 시 전력비 상승 및 열분해 생성 char의 수율 등을 고려하여 더 낮은 승온속도에서 열분해가 이루어져야 할 것으로 판단된다. The objective of this study was to investigate the pyrolytic reaction characteristics of a mixed fuel of municipal solid wastes and low-grade anthracite. The reaction variables are pyrolysis condition of mixing ratio, reaction temperature, temperature increase rate. As a result, the optimum mixing ratio was 20 wt.% low-grade anthracite in MSW, which maintains for the low heating value over 3,500 kcal/kg on pyrolysis. The most high reaction velocity constant was shown at 700℃. Also, under the all experimental condition, the reaction velocity constant increased linearly as temperature rate increase, but pyrolysis has to be considered electric power cost and yield of char at lower temperature rate.
CO<sub>2</sub> 용접에서 용접변수의 변화에 따른 용접흄 제어방법에 관한 연구
오광중,김현수,손병현,지해성,Oh, Kwang-Joong,Kim, Hyun-Soo,Shon, Byung-Hyun,Jee, Hae-Sung 한국산업보건학회 1998 한국산업보건학회지 Vol.8 No.1
The concentration of welding fume was measured by 221 welders themselves in chassis frame workplace of the manufactory from February, 1, 1996 to May, 31, 1997. Welding parameters were the welding current and the distance between helmet and arc. Those two optimum conditions were proposed by excess probability analysis using logistic regression, so the best position in the workplace was proposed considering two factors to control the welding fume. The results are as followings; 1) The excess proability of welding fume TLV was over 99% in above 260 Amperes of welding current and also in below 30cm of distanced between helmet and arc. 2) The equation from logistic regression analysis using SPSS/PC+5.02 had the welding current as a independent variable and the excess of welding fume TLV as a dependent variable (p<0.05). Logit(welding fume TLV) = 0.1296 ${\times}$ wlding currnet - 28.8750 3) The equation from logistic regression analysis using SPSS/PC+5.02 had the distance between helmet and arc as a independent variable and the excess of welding fume threshold limit value a, a dependent variable (p<0.05). Logit (welding fume TLV) = -0.6809 ${\times}$ distance between helmet and arc +25.1665 4) Considering both cases or 2) and 3). the result equation is following. (p<0.05). Logit (welding fume TLV) = 0.1346 ${\times}$ welding current -0.3859 ${\times}$ distance between helmet and arc -15.7382 5) The excess probability of welding fume threshold limit value was 100% in above 240 Ampere of welding current. Thus, below 220 Ampere can be suggested to reduce the 40% number of welders who have a excess welding fume threshold limit value. 6) The excess probability of welding fume TLV was 100% in below 34cm of distance between helmet and arc. Thus, over 38cm can be suggested to reduce the 33% number of welders who have a excess welding fume TLV. 7) Considering both 5) and 6) cases, first of all, the best welding current can be 200 Ampere to have a below 15% of welding fume excess probability for the welders who works in distance of 34-37cm. Secondly, to have a below 30% excess probability of welding fume TLV, the working distance must be over 38cm in 220 Ampere and 32cm in 200 Ampere. 8) To reduce the average exposure concentration of welding fume ($8.21{\pm}5.83mg/m^3$), the movable local exhaust system equipped with flexible hoods can be used.