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인공신경회로망을 응용한 고로조업지원 전문가 시스템 연구
최태화,윤인섭 ( Tae Hwa Choi,En Sup Yoon ) 한국화학공학회 1991 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.29 No.3
An expert system has been developed to support blast furnace operations in the integrated iron and steelmaking works. In the present study, a technique to diagnose furnace abnormality, using the artificial neural network, is proposed to overcome problems of the conventional rule-based expert system, such as lack of in-system automatic regulation and the limits of knowledge expression, etc. In order to enhance diagnostic resolution and robustness to counteract various furnace abnormalities, the data acquired by several sensors installed in the blast furnace were pretreated before using them as input sources for diagnosis. For the diagnosis of abnormal conditions, back-propagation type of artificial neural networks were constructed, which consist of input, hidden and output layers. Diagnostic procedures are structured hierarchically, that is, first the diagnostic network finds the abnormal conditions and then carries out a detailed diagnosis according to the type of abnormality. In this study, an action guidance is suggested through the analysis of actual operation results according to the type and progress of the abnormal conditions. The expert system was tested using the operation data obtained from the abnormalities in a real blast furnace. Without the expert system, the operator could not recognize the initial irregularity due to the gradual change of furnace conditions. On the other hand the expert system could find the initial furnace abnormality and suggested appropriate counteractions.
생물화공 에너지 / 환경 : 밀페계 냉각시스템용 부식방지제의 제조
최태화(Tae Hwa Choi),심상희(Sang Hea Shim) 한국화학공학회 2000 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.38 No.6
A new corrosion inhibitor was developed for prolonging service life of a closed-loop cooling system. It consists of nitrite, organic polymer, etc. The chemical forms the corrosion protection layer on the surface of cooling pipe. It also increases the solubility of scale materials into the cooling water and prevents building-up of scale compounds. It is very effective in the closed cooling system. To compare the relative performance of the conventional inhibitors with the new one in high hardness water, process simulation tests were carried out. In this high hardness water the anti-corrosion performances of the conventional inhibitors turned out to be poor. However, the program with the new inhibitor showed a very low corrosion rate. The corrosion rate caused by the new inhibitor was less than 1.7 MDD in the field test.
김장원 ( Jang Won Kim ),박종인 ( Jong In Park ),이기우 ( Ki Woo Lee ),권의혁 ( Eui Hyuk Kwon ),김강민 ( Kang Min Kim ),권재홍 ( Jae Hong Kwon ),정진경 ( Jin Kyung Chung ),최태화 ( Tae Hwa Choi ),한정환 ( Jeong Whan Han ) 대한금속재료학회(구 대한금속학회) 2015 대한금속·재료학회지 Vol.53 No.5
Blast furnace is generally known for iron mass production vessel with a long campaign life. However during the blast furnace operation, erosion of inner wall by the burden descent is unavoidable and it becomes the most important factor for determining the campaign life of the blast furnace. Lining of the furnace is composed of refractory and cooling Cu stave. Due to the erosion of the refractory brick, the Cu stave built in the refractory brick is exposed after several years use of the furnace. Wear of stave surface is then accelerated by the burden descent rapidly especially at high temperature and high pressure condition. Therefore, wear characteristics of Cu stave are needed to be predicted. Wear of Cu samples is tested at high temperature friction conditions using a ring-on-disc type on custom-built equipment. The wear conditions by burden descent could be changed by the operating temperature and pressure of furnace, coke particle size, hardness of Cu in high temperature, and the cooling temperature, etc. The experimental results are used to predict the life of blast furnace through the measurement of Cu wear loss.