Numerical Simulation Of Thermal Comfort And Pm10 Concentration Distribution In A320 Aircraft Cabin,
2019
Institute of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China;
Numerical Simulation Of Thermal Comfort And Pm10 Concentration Distribution In A320 Aircraft Cabin, Jiaquan Lin, Ruiting Wang
Journal of System Simulation
Abstract: A model of A320 aircraft cabin and human body was established using CFD. Temperature field, velocity field and PM10 concentration field was simulated at different air supply rate of the bridge load air conditioning based on mathematical model of fluid dynamics in cabin. The values of the ADPI and drainage efficiency were calculated respectively at different air supply rate. The optimal supply air velocity evaluation function was constructed based on ADPI and drainage efficiency. The wind speed, temperature and PM10 concentration of the sample points were used to calculate the value of the evaluation function with different …
Modeling And Simulation Of Potential Detection System Based On Woven Electrode,
2019
Engineering Research Center of Digitized Textile & Fashion Technology, Ministry of Education,College of Information Sciences and Technology, Donghua University, Shanghai 201620, China;
Modeling And Simulation Of Potential Detection System Based On Woven Electrode, Longfei Li, Yongsheng Ding
Journal of System Simulation
Abstract: Range of interlacing resistance of woven electrode is induced. Mathematical models of field point potential, electrode potential and electrode potentials difference are constructed. Electrode potential is the weighted mean of field point potentials at interlacing points. Effects of position, size of electrode, and contact resistance on electrode potential are investigated by simulation. Results indicate that there exists two extreme value points at which electrode potential reaches maximum and minimum, respectively. The absolute value of electrode potential extreme value decreases with the increase of electrode’s size. The electrode potential is independent of contact resistance if the expectation of contact resistance …
Multi-Response Parameters Optimization Based On Pca And Neural Network,
2019
1.School of Management Science Engineering, Zhengzhou University of Aeronautical, Zhengzhou 450046, China; ;
Multi-Response Parameters Optimization Based On Pca And Neural Network, Jianli Yu, Hongqi Huang, Manxiang Miao
Journal of System Simulation
Abstract: A multi-response parameters optimization method based on principal component analysis (PCA) and neural network is proposed. It is used to optimize temperature and time parameters in complex thermal polymerization process. By using the method of weighted PCA, two response indexes, capacity value and loss tangent value, are converted into a single quality performance index. The main effect value is used to identify the search range. The radical basis function (RBF) neural network model is established to search and identify the optimal process parameters. Results show that response indexes are improved and the optimization effect is obvious. Therefore, this study …
Chemical Process Monitoring Based On Dnpe-Svdd,
2019
College of Electrical Engineering and Control Science, Nanjing TECH University, Nanjing 211816, China;
Chemical Process Monitoring Based On Dnpe-Svdd, Xiaochun Han, Cuimei Bo, Yi Hui
Journal of System Simulation
Abstract: Chemical processes test dataset are high dimensional, and have the combined feature of nonlinear and dynamic characteristics. However, traditional linear dimension reduction algorithm cannot extract the local structure information and dynamic characteristics. The monitoring model of chemical process based on dynamic neighborhood preserving embedding-support vector data description (DNPE-SVDD) algorithm is proposed. With the superiority of NPE in nonlinear dimensionality reduction and SVDD in the detection of outliers, dimension is reduced by DNPE algorithm and the monitoring model of the manifold space with reduced dimension is established by SVDD algorithm. The Tennessee Eastman (TE) process is simulated using the proposed …
Research On The Torque Ripple Of Brushless Dc Motor Under Non-Ideal Emf,
2019
Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
Research On The Torque Ripple Of Brushless Dc Motor Under Non-Ideal Emf, Kun Xia, Bin Dong, Lu Jing
Journal of System Simulation
Abstract: Non-ideal back-EMF waveform of brushless DC motor is unavoidable due to manufactory technology limitation, which contributes to the torque ripple and requires high performance controller to suppress the influence. Several back-EMF waveforms are analyzed and mathematical model of non-ideal back-EMF is proposed. The torque ripple under the non-ideal waveform is calculated and the relationship between torque ripple and the shape of back-EMF waveform is achieved by this model. The change of torque ripple under non-ideal back-EMF is simulated with driving current of square wave and sinusoidal wave. The results show the effectiveness of the back-EMF model for calculating …
Research On Virtual Reality Simulation System For Crew Cabin Of Special Vehicle,
2019
1.The 63963th Unit of PLA, Beijing 100072, China; ;2.Science and Technology on Complex Land Systems Simulation Laboratory,Beijing 100072, China; ;
Research On Virtual Reality Simulation System For Crew Cabin Of Special Vehicle, Yufei Jia, Xinjun Zhao, Junyan Zhao, Lingjie Kong, Kelei Huang
Journal of System Simulation
Abstract: As a kind of new design method, virtual reality has been widely used in military, industrial, construction, medical, aerospace and other fields. A method for designing and demonstrating the crew cabin of special vehicle by visualized virtual reality simulation technology is introduced in this paper, which takes the design and demonstration of crew cabin of special vehicle in the future as example. The overall framework has been formatted through the design of system function and the detailed division of module. On the basis of the design for each functional software of the system, the functional modules are effectively supported …
Performance Comparison And Analysis Between Four In-Wheel-Motor Driving Electric Vehicle And Monomer-Motor Driving Electric Vehicle,
2019
1.Beijing Information Science and Technology University, School of Mechanical and Electrical Engineering, Beijing 100192, China; ;
Performance Comparison And Analysis Between Four In-Wheel-Motor Driving Electric Vehicle And Monomer-Motor Driving Electric Vehicle, Wang Feng, Guoqing Gong, Chen Yong, Bin Ma, Wenhai Li, Qiumeng Hou
Journal of System Simulation
Abstract: The monomer-motor and front axle driving electric vehicle is changed intoa fourin-wheel-motor driving electric vehicle, and according to the design requirementsand the dimension parameters of the original model, the matching calculationand selection of the power systemof four in-wheel-motor electric vehicleare conducted.The structures of thepower transmission systemand their characteristics between the monomer-motor and the four-wheel driving electric vehicleare compared and analyzed; The simulation models of the monomer-motor and four In-Wheel-Motor electric vehicleare established by CRUISEand verifiedby the experimental data of the actual prototype.The performances of the in-wheel-motor electric vehicle are proved to be superior to those of …
Optimization Via Simulation Based On Neural Network,
2019
1.Equipment Management and UAV Engineering College, Air Force Engineering University, Xi’an 710051, China; ;
Optimization Via Simulation Based On Neural Network, Shihui Wu, Xiaodong Liu, Shao Yue, Zhang Fa, Minxiang Yang
Journal of System Simulation
Abstract: To improve the efficiency of optimization via simulation (OvS), an OvS method based on neural network is proposed. Taking advantage of the approximation ability of neural network to nonlinear input-output relationship, neural network's outputs are used as substitutes for simulation results to reduce the required simulation runs. Samples are generated by simulation according to the three proposed samples selection methods. Owning to its advantages on learning speed, network stability and parameters selection, generalized regression neural network (GRNN) is adopted to train the samples. The trained GRNN forms a regression surface that represents the relationship between simulation inputs and outputs, …
Optimization Of Q-Btgsid Based On Sensitivity Analysis,
2019
School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China;
Optimization Of Q-Btgsid Based On Sensitivity Analysis, Shuwei Jia
Journal of System Simulation
Abstract: In order to make up for the defect that relative degree of incidence, absolute degree of incidence and synthetic degree of incidence are limited in the range of (0.5, 1], this paper attempts to improve the degree of grey incidence. A control factor of “λ” and the metric space are set up to adjust. A new model is established and its specific properties are studied. It is proved that the new model satisfies the grey incidence axioms and the range of degree of grey incidence can be extended to (0, 1]. We put forward four principles of …
Numerical Simulation Of Moisture Diffusion Of Composite Solid Propellant,
2019
Department of Airborne Vehicle Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China;
Numerical Simulation Of Moisture Diffusion Of Composite Solid Propellant, Yufeng Wang, Gaochun Li, Xudong Zhang, Qu Kai, Jinfei Li
Journal of System Simulation
Abstract: In order to elucidate the humidity aging mechanism of composite solid propellant, the diffusion and the distribution of moisture inside the composite solid propellant under humidity was evaluated through the hygroscopic test of propellant. The mathematical and the FE model of moisture diffusion were proposed. The FEM was employed to simulate the moisture diffusion inside propellant. Moreover, the factors that affect the moisture diffusion were analyzed. The results showed that the humidity FEM can be used to simulate the hygroscopic process inside propellant. The temperature can affect the moisture diffusion. The higher the temperature is, the greater the …
Application Of Wavelet Transform In Simulation Model Validation Of Outboard Active Decoy,
2019
Unit 93, No.91404 Troops of PLA, Qinhuangdao 066000, China;
Application Of Wavelet Transform In Simulation Model Validation Of Outboard Active Decoy, Hongxi Zhang, Zhang Jie
Journal of System Simulation
Abstract: Aiming at the characteristics that the output signal of outboard active decoy simulation model is non-stationary random signal, a simulation model verification method based on wavelet transform is proposed. The measured and simulated signals are decomposed into low frequency and high frequency parts by determining the wavelet function. For the low frequency part with stationary state, the characteristic data is obtained by parameter fitting with the least square method. For the high frequency part, AR model is used to fit the parameters, and the fitting parameters are used as the characteristic data, The correlation coefficient method is used to …
Modeling Of Distributed Service Composition System Based On Bipartite Network,
2019
1.Information Engineering University of PLA, Zhengzhou 450001, China; ;2.State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China;
Modeling Of Distributed Service Composition System Based On Bipartite Network, Yaohui Hao, Jihong Han, Guo Hong, Shuxin Liu
Journal of System Simulation
Abstract: Distributed service composition system is widely used in military, communication and other fields.In order to reveal the system’s characteristics, a bipartite network model is proposed. The relation of sever-node’s degree distribution to the three factors of terminal-node’s expectation, terminal-node’s task load andlocal-world size is analyzed by the mean-field theory undercondition ofload balancing and random selection. Both numerical analysis and simulation results show that local-world and sever-node’s degree distribution are irrelevant with random selection.
Study Of Simulation And Influence Of Plunger Cavity Cavitation Water Axial Piston Pump,
2019
1.School of Mechanical Engineering, Sichuan University of Science and Engineering, Zigong 643000, China; ;2.School of Mechanical Engineering, Southwest Jiaotong University, Chendu 610031, China; ;
Study Of Simulation And Influence Of Plunger Cavity Cavitation Water Axial Piston Pump, Zegang Sun, Mingheng Xu, Shide Xiao, Yuanlong Dai
Journal of System Simulation
Abstract: The finite element calculation model of water axial piston pump is established by the mixture hybrid and RNG κ-ε turbulence model of the Fluent software. The plunger movement and cylinder rotary are simulated by the dynamic mesh and sliding mesh. The UDF (User Defined Function) is used to set the compressibility of the fluid. It is found that the cavitation degree of plunger cavity is strongly related to m value (the ratio of the diameter of the plunger cavity to the equivalent diameter of the cylinder kidney shape hole). The mathematical model of mc without cavitation value is …
Multi-Objective Vulcanization Workshop Scheduling Based On Improved Harmony Search Algorithm,
2019
Engineering Research Center of IoT Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Multi-Objective Vulcanization Workshop Scheduling Based On Improved Harmony Search Algorithm, Wang Yan, Longcheng Wu, Zhicheng Ji, Dahu Yan
Journal of System Simulation
Abstract: As a key link in tire production process, the scheduling plan of vulcanization process directly affects the efficiency of the whole tire production process. A discrete encoding method based on vulcanization order - tire number is proposed. An improved harmony search algorithm (IHS) is developed for scheduling the vulcanization workshop with the target of simultaneously minimizing the makespan, die-changing cost and machine idle rate. Vulcanization sequence and tire number are respectively discretized according to the harmony memory considering probability and pitch adjusting probability. The dynamic fine-tuning value is defined to fine-tune the processing number. Finally, the experimental results show …
Cfd-Based Research On The Erosion Of The Fracturing Pump Valve Structure,
2019
1.College of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu 610500, China; ;
Cfd-Based Research On The Erosion Of The Fracturing Pump Valve Structure, Mo Li, Xiaobing Wang, Wang Jun, Guangcai Zhuang
Journal of System Simulation
Abstract: In view of the characteristic of severe erosion and abrasion in the fracturing pump valve, CFD-based erosion and failure is simulated and computed. The distributed rule of the pump valve lift, times of stroke, the height of the seal and the sealing contact length at a certain moment are shown. By analyzing the characteristic of the flow field from the simulated result and the failure mechanism of the fracturing pump valve, it is concluded that the lift is smaller, the greater is the flow velocity, the high times of stroke will increase the flow rate and the lag …
Implement Objective Motion Cueing Test On The A320 Full Flight Simulator,
2019
Training Centre of Sichuan Airlines Group Co., Ltd, Chengdu 611731, China;
Implement Objective Motion Cueing Test On The A320 Full Flight Simulator, Yang Yang
Journal of System Simulation
Abstract: Pilot’s subjective evaluation has been used for motion cueing tuning and calibration for years, and widely recognized as the major criteria in civil full flight simulator qualification. Due to the diversity of human perception, it is impossible to reproduce the same motion cueing on different simulators. In order to objectively evaluate the A320 full flight simulator motion cueing system performance, an engineering practice has been carried out recently by implementation of the OMCT(Objective Motion Cueing Test)which was published by ICAO in 2015. It aims to measure the signal transport delay between the flight model and motion platform, through analyzing …
Channel Modeling And Simulation Of Wireless Underground Sensor Networks Based On Magnetic Induction Technology,
2019
1.School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China; ;2.School of Electronic Engineering, Xi’an Aeronautical University, Xi’an 710077, China;;
Channel Modeling And Simulation Of Wireless Underground Sensor Networks Based On Magnetic Induction Technology, Zhouzhou Liu, Shen Liang
Journal of System Simulation
Abstract: Aiming at the problem of high path loss, huge dynamic changes of channel conditions and large antenna size of the electromagnetic wave communication channel in wireless underground sensor networks ( WUSN), the channel characteristics of magnetic induction (MI) in the process of WUSN transmission are studied and the transmission principle of harmonic source in soil strata is analyzed. The influence of the polarization direction of the coil and the eddy current loss coefficient on the channel model is analyzed by the transmission equivalent circuit diagram, and the influence of the change of the frequency and the distance on the …
Design-Model-Oriented Simulation For High-Speed Railway Dynamics,
2019
1.Institute of Advanced Design & Manufacturing, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China; ;
Design-Model-Oriented Simulation For High-Speed Railway Dynamics, Xie Xing, Tang Zhao, Jiang Jie, Yisheng Zou, Guofu Ding
Journal of System Simulation
Abstract: The traditional vehicle dynamics focuses more on numerical simulation, which separates from design model. LMS Virtual.Lab Motion - natively integrated in CATIA - is a multi-body dynamics package developed with CAA V5 for mechanical system, which is widely applied in engineering fields, such as aerospace, automotive, etc. But to expand to the dynamics of locomotive vehicle, the bottleneck problem of wheel/rail dynamic interaction should be solved. This paper employs CAA V5 and Motion UDF/UDS functions to create some special force elements which distinguish locomotive vehicles from general multibody system applications, and to integrate wheel/rail interaction solver module which determines …
Rvm Soft Sensing Model Based On Optimized Combined Kernel Function,
2019
Key Laboratory of Advanced Control of Light Industry Process in the Ministry of Education, Jiangnan University, Wuxi 214122, China;
Rvm Soft Sensing Model Based On Optimized Combined Kernel Function, Yanan Zhang, Huizhong Yang
Journal of System Simulation
Abstract: An RVM spft sensingmodeling method based onthe optimizedcombined kernel functionis proposed.In order to simultaneously get better prediction and sparsity, a fitness function synthesizing regression accuracy and sparsity is created while constructing a combined kernel functionfor RVM.The genetic algorithm is used to optimize the weights and kernel parametersof the RVMcombined kernel.The proposed method is used totomodela cleavage-recovery unit in the production process of Bisphenol-A.The results show that it can guarantee better sparsity andregression accuracy than the general SVM combinedkernel model andGA-RVM single kernel model.
Iterative Stochastic Resonance Demodulation Algorithm Of Frequency-Hopping Signal,
2019
1.National Key Laboratory of Electronic Measurement Technology, North University of China, Taiyuan 030051, China; ;2.Electronic Department, Xinzhou Teachers University, Xinzhou 034000, China;
Iterative Stochastic Resonance Demodulation Algorithm Of Frequency-Hopping Signal, Haixia Li, Yongfeng Ren, Yuhua Yang, Zhang Baili, Zhumei Tian
Journal of System Simulation
Abstract: In order to improve the demodulation performance of frequency-hopping signals, this paper proposes a digital receiving algorithm based on the bistable stochastic resonance. With the digital samples sifting, the algorithm processes multiple frequency signals in one stochastic resonance system. The conversion from channel noise to useful signal is improved with multiple iterations of signal system. Finally, the local signal is designed to eliminate the frequency distortion in stochastic resonance system through the relevant calculation. Theoretical analysis and simulation results show that the algorithm can demodulate frequency-hopping signal, and its performance can be improved with the increase of sampling rate. …
