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RISS 인기검색어
- 검색키워드
- 저자 : Thanh Cong Huynh (검색결과 16 건)
- 무료
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A Study on Characteristics of Power Generation System Using Biogas from the Waste of Pig Farm
Thanh-Cong Huynh,Xuan-Mai Pham,Dinh-Hung Nguyen,Minh-Tien Tran 한국수소및신에너지학회 2010 한국수소 및 신에너지학회논문집 Vol.21 No.5
electric production, a SI gasoline engine is modified to use biogas fuel and was installed in a 20 KVA power generation system. An electronic speed regulation unit is developed to keep the system speed at 1500rpm. Experimental investigations have been carried out to examine the performance characteristics of power generation system (such as: system frequency, phase output voltage,...). In addition, the operating parameters and output emissions (NOx, HC, and CO2) of biogas-fueled engine are preliminary evaluated and analyzed for the change of system load. Results indicated that the researched power generation system shows a high stability of output voltage and frequency with help of speed regulator. Biogas fuel (mainly CH4 and CO2) has an environmental impact and potential as a green alternative fuel for SI engine and they would not require significant modification of existing engine hardware. Output emissions of biogas-fueled engine are found to be relative low. NOx emission increases with the increase of output electric power of the power generation system.
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Huynh Thanh Cong,강준경(Joonkyoung Kang),노기철(Kichol Noh),이종태(Jongtai Lee) 한국자동차공학회 2007 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In order to develop an external mixture type hydrogen engine with high performance, the characteristics of performance and combustion are investigated for various valve overlap period by using Hz engine installed a mechanical continuous variable valve timing system. In experiments, valve overlap periods are analogically varied for 0° to 400°CA by 10°CA with the same amount of supplied energy as valve overlap period of O°CA, fuel-air equivalence ratio of 0.3 to backfire limit equivalence ratio. The obtained results show that by using a similarly low supplied energy, the tendencies of the basic qualitative performance and combustion characteristics are similar to conventional engines using petroleum fuel, but quantitative results give a little difference. The backfire limit equivalence ratio (defined as the upper limit of fuel-air equivalence ratio just before backfire occurs) was also improved significantly with decrease of valve overlap period and/or for operating conditions with the same amount of supplied energy.
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Thanh-Cong Do,양형정(Hyung Jeong Yang),Ngoc-Huynh Ho 한국스마트미디어학회 2021 스마트미디어저널 Vol.10 No.2
Sepsis is one of the leading causes of mortality globally, and it costs billions of dollars annually. However, treating septic patients is currently highly challenging, and more research is needed into a general treatment method for sepsis. Therefore, in this work, we propose a reinforcement learning method for learning the optimal treatment strategies for septic patients. We model the patient physiological time series data as the input for a deep recurrent Q-network that learns reliable treatment policies. We evaluate our model using an off-policy evaluation method, and the experimental results indicate that it outperforms the physicians’ policy, reducing patient mortality up to 3.04%. Thus, our model can be used as a tool to reduce patient mortality by supporting clinicians in making dynamic decisions.
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Cong-Uy Nguyen,So-Young Lee,Thanh-Canh Huynh,Heon-Tae Kim,Jeong-Tae Kim 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.23 No.5
In this study, vibration characteristics of offshore wind turbine tower (WTT) with gravity-based foundation (GBF) are identified from dynamic responses under wave-induced excitations. The following approaches are implemented to achieve the objective. Firstly, the operational modal analysis methods such as frequency domain decomposition (FDD) and stochastic subspace identification (SSI) are selected to estimate modal parameters from output-only dynamic responses. Secondly, a GBF WTT model composed of superstructure, substructure and foundation is simulated as a case study by using a structural analysis program, MIDAS FEA. Thirdly, wave pressures acting on the WTT structure are established by nonlinear regular waves which are simulated from a computational fluid software, Flow 3D. Wave-induced acceleration responses of the target structure are analyzed by applying the simulated wave pressures to the GBF WTT model. Finally, modal parameters such as natural frequencies and mode shapes are estimated from the output-only acceleration responses and compared with the results from free vibration analysis. The effect of wave height and period on modal parameter extraction is also investigated for the mode identification of the GBF WTT.
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Nguyen Thanh-Nho,Thai Huynh-Thuc,Le-Thi Anh-Dao,Do Minh-Huy,Le-Thi Huynh-Mai,Le Quang-Huy,Nguyen-Thi Kim-Sinh,Nguyen Cong-Hau 한국분석과학회 2023 분석과학 Vol.36 No.5
Aluminium (Al) is one of the major elements in rocks and its concentration can be varied, depending on different rock types as well as sources. The present study aimed to propose an analytical method based on the UV-Vis as a cheap, simple, and common instrument equipped in most laboratories for Al quantification in rocks after the microwave assisted acid digestion. The aluminone and 8-hydroxyquinoline were investigated for the colorimetric assay. The results show that the 8-hydroxyquinoline reagent was more favorable in terms of the minimized affects of the potential interferences present in the digested solutions, i.e., Fe3+, Si4+ and F–. The calibration curve was constructed from 0.10 mg/L to 3.00 mg/L with the goodness of linearity (R2 = 0.9996). The limits of detection and quantification (LOD and LOQ) were estimated, i.e., 0.029 mg/L and 0.087 mg/L, respectively. The 8-hydroxyquinoline was applied to real rock samples, demonstrating favorable precision (RSD = 0.34 %-1.8 %) and no remarkable differences were found compared to the inductively coupled plasma-mass spectrometry (ICP-MS) as a reference measurement approach.
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Vibration-based damage detection in wind turbine towers using artificial neural networks
Nguyen, Cong-Uy,Huynh, Thanh-Canh,Kim, Jeong-Tae Techno-Press 2018 Structural monitoring and maintenance Vol.5 No.4
In this paper, damage assessment in wind-turbine towers using vibration-based artificial neural networks (ANNs) is numerically investigated. At first, a vibration-based ANNs algorithm is designed for damage detection in a wind turbine tower. The ANNs architecture consists of an input, an output, and hidden layers. Modal parameters of the wind turbine tower such as mode shapes and frequencies are utilized as the input and the output layer composes of element stiffness indices. Next, the finite element model of a real wind-turbine tower is established as the test structure. The natural frequencies and mode shapes of the test structure are computed under various damage cases of single and multiple damages to generate training patterns. Finally, the ANNs are trained using the generated training patterns and employed to detect damaged elements and severities in the test structure.
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Vibration-based damage alarming criteria for wind turbine towers
Nguyen, Cong-Uy,Huynh, Thanh-Canh,Dang, Ngoc-Loi,Kim, Jeong-Tae Techno-Press 2017 Structural monitoring and maintenance Vol.4 No.3
In this study, the feasibility of vibration-based damage alarming algorithms are numerically evaluated for wind turbine tower structures which are subjected to harmonic force excitation. Firstly, the algorithm of vibration-based damage alarming for the wind turbine tower (WTT) is visited. The natural frequency change, modal assurance criterion (MAC) and frequency-response-ratio assurance criterion (FRRAC) are utilized to recognize changes in dynamic characteristics due to a structural damage. Secondly, a finite element model based on a real wind turbine tower is established in a structural analysis program, Midas FEA. The harmonic force is applied at the rotor level as presence of excitation. Several structural damage scenarios are numerically simulated in segmental joints of the wind turbine model. Finally, the natural frequency change, MAC and FRRAC algorithm are employed to identify the structural damage occurred in the finite element model. The results show that these criteria could be used as promising damage existence indicators for the damage alarming in wind turbine supporting structures.
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