• Title/Summary/Keyword: Lee Young-choon

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Basic Studies on Propellant Casting (II). Effects of Solid Additives on Urethane Polymerization (추진제 성형에 관한 기초연구 (제2보). 우레탄 중합에 미치는 첨가제 효과)

  • Young Gu Cheun;Ik Choon Lee;Shi Choon Kim
    • Journal of the Korean Chemical Society
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    • v.25 no.4
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    • pp.214-218
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    • 1981

  • Kinetic studies were carried out on urethane polymerization reaction of hydroxyl-terminated polybutadiene with isophorone diisocyanate under presence of Hexogen as solid additive. The rate was found to increase with the amount of Hexogen added. However the rate acceleration was not a catalytic effect but solely due to an increase of activation entropy. The reaction was a good 2nd order process with nearly constant activation energy of 8.4 kcal/mole.

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Basic Studies on Propellant Casting (Ⅰ). MO Theoretical Investigation of Structure and Reactivity of Curing Agent (추진제 성형에 관한 기초연구 (제1보). Curing Agent의 구조와 반응성에 관한 MO 이론적 고찰)

  • Ik Choon Lee;Ki Won Cha;Young Gu Cheun;Shi Choon Kim
    • Journal of the Korean Chemical Society
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    • v.25 no.3
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    • pp.140-144
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    • 1981

  • The structure and reactivity of isophorone diisocyanate, which is used as a curing agent in propellants casting, were investigated using the EHT, CNDO/2 and STO-3G MO methods. The results showed that the reactivity can be assessed by the positive charge on C atom of -NCO group. The structure of this compound was found to be such that it has slow polymerization rate but provides homogenous matrix for explosives.

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Neural network PI parameter Self-tuning Simulator for Permanent Magnet Synchronous Motor operation (영구자석 동기전동기 구동을 위한 신경회로망 PI 파라미터 자기 동조 시뮬레이터)

  • Bae, Eun-Kyeong;Kwon, Jung-Dong;Jeon, Kee-Young;Park, Choon-Woo;Oh, Bong-Hwan;Jeong, Choon-Byeong;Lee, Hoon-Goo;Han, Kyung-Hee
    • Proceedings of the KIPE Conference
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    • 2007.07a
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    • pp.394-396
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    • 2007

  • In this paper proposed to neural network PI self-tuning direct controller using Error back propagation algorithm. Proposed controller applies to speed controller and current controller. Also, this built up the interface environment to drive it simply and exactly in any kind of reference, environment fluent and parameter transaction of PMSM. Neural network PI self-tuning simulator using Visual C++ and Matlab Simulation is organized to construct this environment, Built up interface has it's own purpose that even the user who don't have the accurate knowledge of Neural network can embody operation characteristic rapidly and easily.

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