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RISS 인기검색어
- 검색키워드
- 저자 : Wang Mingmin (검색결과 4 건)
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Experimental studies on gasification of the Shenmu coal char with CO2 at elevated pressures
Wang Mingmin,Zhang Jiansheng,Zhang Shouyu,Wu Jinhu,Yue Guangxi 한국화학공학회 2008 Korean Journal of Chemical Engineering Vol.25 No.6
The gasification rates of Shenmu coal chars with CO2 were experimentally studied with a pressurized thermo- gravimetric analyzer (PTGA). Shenmu coal is a typical Chinese coal, and the coal char was prepared by a fixedbed reactor in nitrogen at 900 oC. The experiments were carried out in the dynamic heating segments from 750 oC to 1,000 oC, and the reaction pressure increased from 0.1MPa to 3.1MPa with pure CO2. The external diffusion resistances were minimized by increasing the flow rates and decreasing the thickness of sample layer before the test, to ensure the reactions were under kinetic control. The results show that the gasification rates increase proportionally to the 0.1 power of the CO2 partial pressure. The unreacted-core shrinking model was applied to predict the reaction rate by changing the molar fraction of CO2 at 0.6Mpa and 1.6Mpa total pressures, which showed a good match with experimental data.
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Smart health evaluation of slewing bearing based on multiple-characteristic parameters
Hua Wang,Mingmin Tang,Xiaodiao Huang 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.6
A rotational connection between two substructures generally consists of a slewing bearing which is very often used for heavy loads atlow speeds. Slewing bearing condition monitoring is a good method to identify the inception and propagation of structural defects at anearly stage for timely remedy, and ultimately, enable condition-based “intelligent” maintenance instead of schedule-based. The traditionalhealth evaluation accuracy is not high based on single vibrating signal. We present a new strategy for health evaluation of slewing bearingbased on multiple characteristic parameters and the artificial neural networks, and we applied the genetic algorithm to model multiparametershealth evaluation. Seventy days fatigue life test was carried out using a special slewing bearing test table and 70 sets data waschosen to input the networks evaluation model for training and evaluation. Test results show that the ANN (Artificial neural network)with GA (Genetic algorithm) optimization converges more easily, takes fewer iterations and shorter training time, and has higher precisionand good stability. And the output of multi-parameters health evaluation network model shows a better agreement with the target. The evaluation results were in accordance with the experiment. Therefore, this methodology can be used to evaluate the health state ofslewing bearing.
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Bin Luo,Yangjie Ruan,Jinfei Li,Mingmin Ding,Haibin Wang 한국강구조학회 2020 International Journal of Steel Structures Vol.20 No.3
The cable structure has been widely adopted in some engineering applications. Cable clamp and its anti-slipping performance is the key factor to assure the bearing capacity for cable structure. This paper is concerned with the slipping resistance between cable clamp and Z shape full locked coil cables in a two-way orthogonal cable-net structure. Firstly, a new method for laboratory test of the clamp is designed, which is carried out under cable tension. The clamping force of high-strength bolt and the pushing force are monitored in real time. According to force reaction–displacement graphs obtained from the test, the reasonable anti-slipping ultimate frictional force of the clamp is determined and the precise friction coeffi cient of the clamp is calculated by the data from real-time monitoring. Finally, through the simulation analysis of nonlinear fi nite element model, the results are basically consistent with the laboratory test. The proposed method can be extended to solve anti-slipping problems of similar cable clamps.
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Research on the explosion release method and damage mechanism of titanium alloy fan blade
Yanan Zhang,Zekan He,Chuang Liu,Meng Wang,Haijun Xuan,Mingmin Qu,Zehui Fang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.8
The current advanced aero-engine fan rotors are usually integrally-bladed rotor discs, and the root of the fan blade has irregular curved surface, which brings technical difficulties and challenges to achieve the blade releasing. In this paper, the dynamic response and energy dissipation process of the titanium alloy blade under shaped charge jet explosion were analyzed by numerical model, and the explosion damage mechanism of titanium alloy fan blades was clarified. Finally, a FBO test was conducted to verify the blade explosion release method in rotating state. Through the energy dissipation analysis of the whole explosion process, it can be seen that the overall residual kinetic energy of the blade is about 15.7 J, which is only 0.02 % of the initial kinetic energy of the releasing blade in rotating. It is indicated that the explosion separation method will not generate additional kinetic energy to the released blade.
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