• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권1호
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• pp.190-207
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• 2015

In the combustion engineering, to decrease pollution and increase production efficiency, and to optimally keep solid burning material amount constant in a burner online, it needs a smart method to detect the amount variation of the burning materials in a high temperature environment. This paper presents an online machine vision system for automatically measuring and detecting the burning material amount inside a burner or a boiler. In the camera-protecting box of the system, a sub-system for cooling is constructed by using the cooling water circulation techqique. In addition, the key and intelligent step in the system is to detect the pile profile of the variable burning material, and the algorithm for the pile profile tracing was studied based on the combination of the gey level (color) discontinuity and similarity based image segmentation methods, the discontinuity based sub-algorithm is made on the quaternion convolution, and the similarity based sub-algorithm is designed according to the region growing with multi-scale clustering. The results of the two sub-algoritms are fused to delineate the final pile profile, and the algorithm has been tested and applied in different industrial burners and boilers. The experiements show that the proposed algorithm works satisfactorily.

• 한국추진공학회지
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• 제19권2호
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• pp.29-37
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• 2015

본 연구는 케로신 연료를 사용하는 액체로켓엔진에서 발생할 수 있는 연소불안정으로 인하여 파괴될 수 있는 연소기의 손상을 수치적으로 모사하는 해석 모델의 기초연구이다. 연소불안정으로부터 야기 될 수 있는 케로신의 데토네이션은 1단계 아레니우스 식의 화학 반응식을 이용하였고, 구조체는 Johnson-Cook 강성모델을 활용하여 데토네이션으로 인한 금속관의 소성 변형을 모델링하였다. 금속관의 소성 변형에 의해 변화하는 유동장과 구조체의 스트레스를 노즐 형상과 관의 두께변화에 따라 해석하였다.