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Analysis of the Mathematical Model of a Variable Displacement Vane Pump for Engine Lubrication
D. Q. Truong(딩광청),K. K. Ahn(안경관),J. S. Lee(이재신) 유공압건설기계학회 2014 드라이브·컨트롤 Vol.11 No.1
Variable displacement vane-type oil pumps represent one of the most innovative pump types for industrial applications, especially for engine lubrication systems. This paper presents a complete and accurate mathematical model for a typical variable displacement vane-type oil pump. Firstly, its theoretical model is revised. Secondly, an analysis of power loss factors of this pump type is carefully investigated to optimize the modeling accuracy. Finally, the estimated pump performance using the complete pump model is verified by numerical simulations in comparison with the practical tests.
A piezoelectrically-driven flapping device to mimic beetle flight
Q.T. Truong,Q.V. Nguyen,H.C. Park,D. Byun,N.S. Goo 한국항공우주학회 2008 한국항공우주학회 학술발표회 논문집 Vol.- No.-
In order to mimic the flapping motion of Allomyrina Dichotoma of which flapping frequency is typically 30Hz. we present an approach to increase the flapping frequency of a previously developed flapper actuated by Lightweight Piezo-Composite Actuator (LIPCA). To increase the flapping frequency of the flapper. the dynamic characteristics of the LIPCA and parameter study of a four-bar linkage have been studied. In a parametric study, it was found that an appropriate combination of linkage lengths can provide a better moment transmission at a given flapping angle amplification. A new four-bar linkage system was fabricated based on the parametric study and then tested to verify the possibility. The test results showed that the optimal flapping frequency of the modified flapper was measured to be about 17Hz, which is about 88.9% increase compared to that of the previous flapper. The modified flapper could also improve 112.5% in horizontal force. However, the flapping angle and vertical force were reduced about 20% and 8.7% respectively.
Modeling and Performance Investigation of Forklift Transmission Control Valve System
D. Q. Truong(딩광청),K. K. Ahn(안경관),J. W. Yoon(윤장원) 유공압건설기계학회 2014 드라이브·컨트롤 Vol.11 No.3
In forklifts, the machine performance is largely depended on the transmission performance. The aim of this paper is to develop a complete model of transmission control valve (TMV) system of a typical forklift using AMESim simulation tool. By using the developed TMV model, it becomes easy to investigate the system concept, working principle, and performance. In addition, an optimization on the TMV structure can be achieved by using this model with tunable parameters. Simulations have been carried out in a comparison with the actual experiments to verify the model.
Development of a mathematic model for a variable displacement vane pump for engine oil
딩광청(D. Q. Truong),안경관(K. K. Ahn),윤종일(J. I. Yoon),이재신(J. S. Lee) 유공압건설기계학회 2012 드라이브·컨트롤 Vol.9 No.4
Variable displacement vane type oil pumps represent one of the most innovative pump types for industrial applications, especially for engine lubrication systems. This paper deals with a modeling method for theoretical flow rate investigation of a typical variable displacement vane type oil pump. This theoretical model is based on the pump geometric design and dynamic analyses. It can be considered as mandatory steps for a deeper understanding of the pump operation as well as for effectively implementing the pump control mechanisms to satisfy the urgent demands of engine lubrication systems. The developed pump model is finally illustrated by numerical simulations.
Truong, T.K.,Nguyen, T.N.T.,Trung, T.Q.,Sohn, I.Y.,Kim, D.J.,Jung, J.H.,Lee, N.E. Elsevier 2014 Current Applied Physics Vol.14 No.5
In this study, the reduced graphene oxide field-effect transistor (rGO FET) with indium tin oxide (ITO) extended gate electrode was demonstrated as a transducer for proton sensing application. In this structure, the proton sensing area of the ITO extended gate electrode is isolated from the active area of the rGO FET. The proton sensing properties based on the rGO FET transducer were analyzed. The rGO FET device with encapsulation by a tetratetracontane (TTC) layer showed good stability in electrolytic solutions. The device showed an ambipolar behavior with shifts in Dirac point as the pH of the electrolyte is varied. The pH sensitivity based on the Dirac point shift as a sensing parameter was about 43-50 mV/pH for a wide range of pH values from 2 to 12. The ITO extended gate rGO FET may be considered a potential transducer for sensing of H<SUP>+</SUP> in electrolytes. Its sensing area can be modified further for various ions sensing applications.
AMESim 을 이용한 엔진구동 지게차 변속기 제어용 밸브의 모델링
안경관,D. Q. Truong,윤종일,윤장원,황광진 대한기계학회 2009 대한기계학회 춘추학술대회 Vol.2009 No.11
This paper presents the modeling of control valves of an engine forklift transmission using AMESim simulation tool. The transmission clutch pressure profile is very important because it determines the shock of transmission shift. In this study, the clutch pressure profile has been modeled and simulated using AMESim and a lab test has also been conducted to verify the model.
Liem, D. T.,Truong, D. Q.,Park, H. G.,Ahn, K. K. Springer Science + Business Media 2016 International Journal of Precision Engineering and Vol.17 No.3
<P>Recently, electro-hydraulic actuators (EHAs) have shown significant advantages over conventionally valve-controlled actuators. EHAs have a wide range of applications where force or position control with high accuracy is exceedingly necessary. Besides the benefits, however, EHA is a highly complex nonlinear system which causes challenges for both modeling and control tasks. This paper aims to develop an effective control approach for force control of a typical EHA system. This control scheme is considered as an advanced combination of a feedforward neural network - based PID (FNNPID) controller and a fuzzy grey predictor (FGP), shortened as feedforward neural network fuzzy grey predictor (FNNFGP). Here, the FNNPID controller is used to drive the system to desired targets. Additionally, a learning mechanism with robust checking conditions is implemented into the FNNPID in order to optimize online its parameters with respect to the control error minimization. Meanwhile, the FGP predictor with self-tuning ability of the predictor step size takes part in, first, estimating the system output in the near future to optimize the controller parameters in advance and, second, creating a compensating control signal accordingly to the system perturbations and, consequently, improving the control performance. Real-time experiments have been carried out to investigate the effectiveness of the proposed control approach.</P>