Advanced Materials Research Vols. 443-444

Abstract: This paper presents a new anti-surge control system hardware structure for Underwater vehicle and Stress analysis. Based on the considered environmental impact of surge in Shallow waters, a space-based six degree of freedom equation of motion simulation model is built for the special movement. A new integrated control system for the underwater vehicle, including a fuzzy PID control part with a state prediction is obtained by solving the surge problems to deal with the poor working condition under the action of the surge in Shallow waters, and its aim at the characteristics of low static error, fast response and control overshoot suppression. Some simulations verify the performance.

Abstract: Developed a mathematics model of temper rolling mill’s dynamic rigidity change with the oil film’s thickness which is varying with working roll’s horizontal chattering velocity. The delivering way from the horizontal chattering to vertical chattering is revealed on the above analyzing. Combined with actual chatter marks of strip steel produced by one temper rolling mill, the influence of one horizontal disturbance to vertical chatter has been validated by the use of numerical simulation with Simulink software package. It provides theoretical and practical value on research of vibration in temper rolling mill.

Abstract: Based on the analysis of previous research results, A partial postponement strategy, which is a production mode with the combination of “make-to-stock” and postponement, is regarded as an appropriate strategy and should be implemented in the automobile manufacturers. A quantitative decision-making model is proposed in this paper. The proposed model, with customer waiting time as the constraint, aims to study the postponement probability which can minimize the total cost (including production cost, inventory cost and customer waiting cost). The application of partial postponement strategy in Corporation Q by the proposed model is analyzed in the next part of this paper. The results can help Corporation Q set its proper postponement probability to satisfy individual requirements at the lowest cost.

Abstract: Calibration is an important operation in the instrumentation industry for determining the relationship between the output (s) (or response) of a measuring instrument and the value of the input (s). This paper proposes a nonlinear calibration method based on least squares support vector regression (LS-SVR) with the output voltage of thermocouple sensor as input and the measured temperature output to eliminate the nonlinear errors in detection process. Firstly, the nonlinear calibrator, expressed by power series, was established based on the principle of inverse model. And then the parameters of the calibrator were identified by LS-SVR. Through this calibrator, the desired linear characteristics of thermocouple sensor could be obtained. Finally, platinum-rhodium 30– platinum-rhodium 6-thermocouple (B-type) was taken as an example, and experimental results show that the proposed calibration method is efficient in the temperature range from 400°C to 1800°C. And the method has an advantage of analytical expression of the calibration model.

Abstract: The Daya Bay Neutrino Experiment is a neutrino-oscillation experiment designed to measure the mixing angle θ13 using anti-neutrinos produced by the reactors of the Daya Bay Nuclear Power Plant (NPP) and the Ling Ao NPP. Eight anti-neutrino detectors (AD) consists of liquid scintillator and Photomultiplier Tubes (PMTs) will be used in the experiment. The readout signals of the PMTs which are reacted by the Neutrino need to be accurately measured for the goal of the Daya Bay experiment which needs a measurement of sin22θ13 to 0.01 or better. But ringing was found in the PMT test. This paper describes the ringing in the readout signals of the PMTs, and analyses the cause of the ringing.

Abstract: As the working conditions of electro-hydraulic servo valves are different between applications in fuel control of aero turbo engines and in industry, this paper examines the influence of varying supply pressure on the servo control of a variable stroke fuel pump. An aero swash plate axial plunger fuel pump was rebuilt and a hydraulic-valve controlled cylinder system formed to alter the angle of the swash plate. Tuning of the PID control is possible according to the variation of the supply pressure. Experiments showed the servo control is effective and the swash plate of the pump moves faster at higher supply pressures as shown in Figure 6.

Abstract: The artificial neural networks (ANNs) non-modeling methods were selected to optimize the preparation of loading norcantharidin chitosan nanoparticles (NPs) by ionic cross-linkage. A multiple regression model was constructed for fitting several preparation factors and each of the factor level values was arranged in the L9(34) design table and their linear weighted sum of the normalized value was taken as optimized object. A Back-Propagation (BP) network (3×7×2) in ANNs was created and trained for further checking the optimal results and the trained network was applied to simulate the experiment system and screen the optimal conditions. Finally, the best condition was obtained.

Abstract: Presents two types of characteristic data: basic characteristic parameters and index characteristic parameters for non energy saving status detection (NESSD) of groundwater heat pump (GWHP) system, establishes the relationship database between characteristic data and fault factors of NESSD. For three kinds of improving back propagation (BP) algorithms: Variable Learning Rate (VLR) BP algorithm, Scaled Conjugate Gradient (SCG) BP algorithm, and Levenberg-Marquardt (LM) BP algorithm, these various algorithms’ comparative study had been conducted on the GWHP system’s NESSD. The optimal algorithm among them is determined and the GWHP system’s NESSD as cases studies can be carried out based on the most suitable BP algorithm.

Abstract: On the basis of dynamic hourly cooling load, an optimal target function was taken as the minimization of sum of system fist cost and operation cost etc., within life cycle for ice thermal air conditioning system, the mathematics model of system optimization was established, and solved based on the external point penalty function method with step accelerate algorithm, using VB.NET for writing calculation program, taking ice thermal air conditioning systems for typical public buildings (an office building, a 4 star level hotel, a large scale store) as study objectives, the optimal calculations and analysis were carried out to multi-factor such as building load profile characteristics, discharge rate, and electrical price structure. Results in this paper provide technical information and reference for designer and operator.

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) has been focused on in high-data-rate wireless communication research. But the high Peak-to-Average Power Ratio (PAPR) is one of the main obstacles to limit wide applications of OFDM. In this paper, based on the definition of the PAPR in OFDM systems, these techniques on PAPR reduction are presented, including signal distortion, signal scrambling, and block coding. The advantages and disadvantages of these techniques are discussed in detail and some performances are achieved by Monte Carlo simulations.