• 수산해양기술연구
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• 제21권2호
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• pp.157-166
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• 1985

가변 압축비 기관(C. F. R.)에 ionization gap probe를 피스톤 및 실린터 헤드 sleeve에 설치하여 화염거동에 대하여 실험한 결과는 다음과 같다. 1) 혼합연료에서 화염전파속도는 메타놀 함량에 따라 증가한다. 2) 혼합연료에서 메타놀 percent가 증가하면 에너지 소모비 (Btu/HP-hr)가 감소하여 열효율은 증가한다. 3) 당량비가 일정하면 평균유효압력은 메타놀 량이 증가할수록 감소한다. 4) 순수한 가솔린 및 혼합연료는 점화진각이 클수록 NO 하(X) 방출량은 증가하고 희박 혼합기 영역에서 NO 하(X) 방출량은 최대가 된다. 또 RG50/M40/THF10/W1의 연료에서는 당량비가 0.95이하에서는 당양비가 낮을수록, 점화진각이 높을수록 NO 하(X) 방출량은 증가하고, 0.95 이상에서는 당량비와 점화진각이 클수록 방출량은 감소한다. 5) CO, HC의 최소값은 메타놀 함유량이 높을수록 감소한다.

• 한국안전학회지
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• 제39권2호
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• pp.38-43
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• 2024

Recently, with the expanding market for electronic devices and electric vehicles, secondary battery usage has been on the rise. Lithium-ion batteries are particularly popular due to their fast charging times and lightweight nature compared to other types of batteries. A secondary battery consists of four components: anode, cathode, electrolyte, and separator. Generally, the positive and negative electrode materials of secondary batteries are composed of an active material, a binder, and a conductive material. Acetylene Black (AB) is utilized to enhance conductivity between active material particles or metal dust collectors, preventing the binder from acting as an insulator. However, when recycling waste batteries that have been subject to high usage, there is a risk of fire and explosion accidents, as accurately identifying the characteristics of Acetylene Black dust proves to be challenging. In this study, the lower explosion limit for Acetylene Black dust with an average particle size of 0.042 ㎛ was determined to be 153.64 mg/L using a Hartmann-type dust explosion device. Notably, the dust did not explode at values below 168 mg, rendering the lower explosion limit calculation unfeasible. Analysis of explosion delay times with varying electrode gaps revealed the shortest delay time at 3 mm, with a noticeable increase in delay times for gaps of 4 mm or greater. The findings offer fundamental data for fire and explosion prevention measures in Acetylene Black waste recycling processes via a predictive model for lower explosion limits and ignition delay time.