bluuebunny/crossref_metadata_2025 huggingface dataset:
Information Management of Data Resources in Product Design and Manufacture Process
Authors: Li Zheng , Cheng Long , Yao Lei Jiang , Tong Xiao Yan
Published: October 2010

Data is the main subject of enterprise resource planning. It is an important way to enhance economic efficiency and competitiveness, by taking advantage of information technology to implement the data/information management and ensure their objectivity, accuracy and efficiency. In product design and manufacture process, the life time of data resources are divided into production, collection, arrangement, inputting, transmission, using, etc. If data resources information management system and management platform is established, it can record, share and manage data timely and accurately. At the beginning of data management, the clear and reasonable planning is an important foundation to achieve data information management. So, the concrete problems of planning were discussed about management objective, content and mode. In the course of design and manufacture, the data types, data management user and management basic conditions were summarized, and then it was discussed about framework and process of data resource management. Finally, the concrete operation and management measures were discussed on each link of data life cycle. The paper’s idea has a great impact for reference to integration and compromise of product’s data resources, establishment data resources management platform and taking management measures.
Solving Steel-Making and Continuous-Casting Scheduling Problem with Fuzzy Processing and Delivery Time Using Genetic Algorithm
Authors: Wang Hong Bing , Xu Ai Jun , He Dong Feng
Published: October 2010

The real production scheduling problem between steel-making and continuous-casting can be modeled as JSSP with fuzzy processing and delivery time. An improved genetic algorithm is proposed for solving this problem and the improved aspects include the mechanism for preventing early-maturing and the job filter order-based crossover operator. The test results show that the improved genetic algorithm can find better solutions than other three algorithms. A real production scheduling problem of steel-making and continuous-casting is computed using the improved genetic algorithm and it shows the algorithm is effective.
Solving Flow Shop Scheduling Problem Considering Waiting Time Using Genetic Algorithm
Authors: Wang Hong Bing , Xu Ai Jun , He Dong Feng , Yao Lin
Published: October 2010

The real production scheduling problem between steel-making and continuous-casting can be modeled as Flow Shop Scheduling Problem. Waiting time must be considered for the reason of the temperature decrease of molten steel. The genetic algorithm with an initial population generation mechanism and a piecewise fitness function is proposed for solving the problem. The test results show that the proposed algorithm can find better solutions. A real case of steel-making and continuous-casting scheduling problem is computed and it shows the algorithm is effective.
The Advanced Production Planning of Automated Scheduling Problems in Irradiation Industry
Authors: Wang Zhong , Zhang Gang , Zhao Guo Wei
Published: October 2010

Because of the continuity and discreteness during production, Irradiation industry becomes one of an especial industry. Various product type, uncertain lots and complex processes cycle increase the difficulty of production planning and scheduling. The implementation of CIMS/ERP systems during product processes in the enterprise can not fulfill the special requirements especially in product automation monitoring and quality information monitoring. Research and application of scheduling method and optimization technology effect crucially for enterprise to improve its production efficiency and reduce its production cost. So, more and more scholars pay their attention to this research field. For this reason, the paper presents a mathematical production scheduling model in irradiation workshop based on the research of irradiation industry development and shop scheduling in China and abroad. The author also design an application of the irradiation shop scheduling Optimization with this model in detailed, based on described the concept, principle of genetic algorithm and its method.
Constraint Projection Adaptive Natural Gradient Online Algorithm for SVM
Authors: Sun Zong Hai
Published: October 2010

The training of Support Vector Machine (SVM) is an optimization problem of quadratic programming which can not be applied to the online training in real time applications or time-variant data source. The online algorithms proposed by other researchers have high computational complexity and slow training speed, which can not be well applied to the time-variant problems as well. In this paper the projection gradient and adaptive natural gradient is combined. The constraint projection adaptive natural gradient online algorithm for SVM is proposed. The computation complexity of the constraint projection adaptive natural gradient algorithm is . The learning performance is compared via prediction of the concentration of component A of Continuous Stirred Tank Reactor. The results of simulation demonstrate that the time taken by the constraint projection adaptive natural gradient online algorithm for SVM is far less than that of incremental algorithm, while keep higher prediction precision.
Analysis of Heat Exchanger Performance Forecast Based on the BP Neural Network
Authors: Meng Yan Mei , Pang Hai Feng , Jiang Yan , Zhou Quan , Zheng Ting Ting , Jin Qiao Ling
Published: October 2010

This paper uses the BP neural network algorithm to predict the performance of heat exchangers, sets up a applied structure of the BP neural network and expounds the realization of predicted algorithm, including the determination of network structure, the learning rate, the network performance evaluation, the training and test aggregate, the network target errors and the network training times and so on, which is the simulation of predicting the performance of a heat exchanger with pipes buried underground in a ground source heat pump system. The results of prediction show that the relative errors of the heat exchanger performance prediction are mostly within 5.4%, and the neural network prediction results agree well with the experimental results, which have better generalization ability. This research method for underground heat exchanger can provide basis for optimizing the parameters, so it has certain practical significance and social value.
Mesh-Free Numerical Simulation for Carbon Nanotubes upon Bending
Authors: Gao Bin , Sun Yu Zhou , Wang Jin Bao
Published: October 2010

This paper presents a mesh-free numerical modeling approach for carbon nanotubes (CNTs) subjected to bending loads. The higher-order Cauchy-Born rule was employed to construct the higher-order continuum constitutive model. An initial equilibrium single-walled CNT (SWCNT) was viewed as been formed by rolling up a graphite sheet into a cylindrical shape. The deformation from an original SWCNT to the current configuration was approximated with the moving least-square (MLS) approximation, and the mesh-free computational framework was established in the theoretical scheme of higher-order gradient continuum. Mesh-free numerical simulations were carried out for SWCNTs, and the accuracy and convergence were discussed in comparison with the results of atomistic simulation. The buckling behavior was studied for various types of SWCNTs upon bending, and the buckling mechanism was investigated in virtue of the continuum variables, which showed that the maximum axial compressive strain played a vital role in the development of kinking.
Friction Compensation Based Acceleration Feedback Control for Flight Simulator
Authors: Shen Dong Kai , Liu Zheng Hua , Liu Shi Zhang
Published: October 2010

The flight simulator is one kind of servo system with uncertainties and disturbances. To obtain high low-velocity performance and good robustness for the flight simulator, we present a novel robust controller based on the acceleration feedback and Disturbance Observer. Firstly, the plant model and the framework of the novel controller are described. Secondly, the principle and the design process of the acceleration feedback controller are analyzed and expatiated respectively. Finally, simulation results on the flight simulator show that the acceleration feedback controller can compensate nonlinear friction problems and the system performance can be improved. Therefore both robustness and high performance of the flight simulator are achieved. It is an applied technology for the control of servo system, such as the flight simulator.
Robust BackStepping Control Based DRNN for Flight Simulator
Authors: Shen Dong Kai , Wang Jing Jing , Liu Zheng Hua
Published: October 2010

Flight motion simulator is one kind of servo system with uncertainties and nonlinearities. To acquire higher frequency response and good robustness for the flight simulator, we present a Backstepping controller based on a Diagonal Recurrent Neural Network (DRNN) to work out this problem. For one thing, the design procedure of the robust Backstepping controller is described. Subsequently, the principle and the design steps of DRNN are analyzed and expatiated respectively. In the end, simulation results on the flight motion simulator show that robust backstepping control based on DRNN can compensate for external disturbances and enhance robustness of the system control performance. Therefore both robustness and high performance of the flight motion simulator are achieved.
Effect of Weld on Axial Buckling of Cylindrical Shells
Authors: Fang Zhou , Chen Zhi Ping , Lu Chu Lin , Zeng Ming
Published: October 2010

Large oil storage tank (oil tank for short) shells are vulnerable to buckling damage when suffering the seismic loads. Numerical simulation analysis was taken to estimate the effects of the weld form, number and their location to axial buckling stress of cylindrical shells, considering not only the characteristic of welding processes, but also the effects probably caused by magnitude of residual stress and deformation on elephant foot buckling to oil tanks. It is revealed that the existence of circumferential welds had obvious negative effect on axial buckling critical stress compared with the structure without welds, while the effects of weld number and location were not as much; longitudinal welds had no visible effect on axial buckling critical stress; controlling the residual stress and deformation range caused by circumferential welds should be the key point during the tanks welding process.
Global Asymptotic Stability of Stochastic Fuzzy Cellular Neural Networks with Time-Varying Delays
Authors: Luo Wen Guang , Liu Yong Hua , Lan Hong Li
Published: October 2010

In this paper, the problem of global asymptotic stability in the mean square for stochastic fuzzy cellular neural networks (SFCNN) with time-varying delays is investigated. By constructing a newly proposed Lyapunov-Krasovskii function (LKF) and using Ito’s stochastic stability theory, a novel delay-dependent stability criterion is derived. The obtained stability result is helpful to design the stability of fuzzy cellular neural networks (FCNN) with time-varying delays when stochastic noise is taken into consideration. Since it is presented in terms of a linear matrix inequality (LMI), the sufficient condition is easy to be checked efficiently by utilizing some standard numerical packages such as the LMI Control Toolbox in Matlab. Finally, an illustrate example is given to verify the feasibility and usefulness of the proposed result.
A Compression Algorithm for Vibration Signal of Rotating Machinery Based on Partitioned Iterated Function Systems
Authors: Li Jian , Zhang Chun Liang , Yue Xia
Published: October 2010

The partitioned iterated function systems (PIFS) were introduced into the compression of vibration signal. The actual vibration data of ZLH600-2 pump were adopted to verify the performance of PIFS. Also the compression ratios and the computation time were good, but the spectrum and amplitude, as important performances, were deformed after compression. If the concerned frequency of users was significantly lower than the sampling frequency and the required compression ratios was not more than 2, the compression using PIFS in vibration signal of rotating machinery was comfortable. Otherwise, the information loss in the compression could not be ignored. The decoded signals with the different compression parameters were listed in the paper and it was a meaningful exploration of the IFS on diagnosis and laid the foundation for further research.
Study on Trajectory Planning and Control Method in Profile Cutting of Roadheader
Authors: Mao Jun , Chen Hong Yue , Xie Miao , Li Jian Gang , Wang Jian
Published: October 2010

As a result of the uneven distribution of the hardness of coal roadway section, the intelligent tunneling of roadheader is very important for cutting efficiency of roadheader in various working conditions. Profile cutting is the key technology of realizing intelligent tunneling of roadheader, and the trajectory planning method of cutting head is the technical bottleneck of solving profile cutting. In consideration of the randomness of cutting process, this paper designs specially a time and speed predictor by adopting the spatial interpolation method of joint, considers at the same time cutting-motor as a constraint condition, and uses radial basic network method to approximate the trajectory of cutting head. A novel and effective method is provided for profile cutting technology of roadheader.
A Study on Gray Relational Analysis of Many Factor Weights in Tobacco Leaves Classification
Authors: Mao Peng Jun , Liu Lu , Wang Jun , Hu Chun Yan
Published: October 2010

For the nine characteristic factors of tobacco leaf grading standards have different degree of influence on final grading results and lack of objective evaluation method, in this paper, we applied the gray relational analysis method to determine the weight of tobacco leaf factors in every grade, which calculate the gray relational analysis of nine characteristic factors: such as hue, lightness value, chroma, length, leaf structure, waste, oil, maturity and body. The gray relation was normalized to get the weight of the nine factors in tobacco leaf classification. By contrasted with the subjective evaluation of five experts in tobacco field, the calculation results are basically consistent with the experts’ recommendation. It illustrates that the application of Grey relational method to calculate influence ability of flue-cured tobacco grading factors is feasible. This method eliminates the subjectivity of the weight of each factor and can make the results more realistic.
A Novel Distributed Multi Agent System Plan Algorithm
Authors: Jiang Wei Jin , Luo Xin Mi , Yao Li Na
Published: October 2010

This paper presents One-Distributed-Multi-Agent-Plan. In this system, each agent is planning to carry out their goals and bound by the plan and to determine action steps. Action steps with the routine sequence of steps bound to the time sequence Equivalence of constraints and variables used restraint is not equivalent to not entirely routine steps; Programming is gradually adding and refining constraints on the planning process, algorithm based on the classic UCPOP Planning algorithm; through a special Multi-Agent arrange to check and clear up collision between Agent-Plan, then restriction their action. In this algorithm, The coordination and Conflict-Detection of the Agent-Plan consulted by Multi-Agent I.e.; the bound consistency of Distributed judgment between Agent-Plan; The algorithm is reliable in determining the environment, Since the algorithm is exchanged between agents and actions related to the conflict, and the causal chain bound Therefore it is a small amount of communication and high security advantages.
Design and Realization of the SMT Product Character Recognition System
Authors: Zhao Hui Huang , Zhou De Jian , Wu Zhao Hua
Published: October 2010

We present an approach to recognizing characters in surface mount technology (SMT) product. An improved SMT product character recognition method is proposed which can obtain a good recognition rate. Some appropriate image processing algorithms, such as Gray processing, Low-pass Filter, Median Filter, and so on, are used to eliminate the noise. Then, Character image is obtained after character segmentation and character normalization. Finally, a three-layer back propagation (BP) neural network module is constructed. In order to improve the convergence rate of the network and avoid oscillation and divergence, the BP algorithm with momentum item is used. As a result, the SMT product character recognition system is developed. Experimental results indicate that the proposed character recognition can obtain satisfactory character-recognition rate and the recognition rate reached over by 98.6% when the hidden layer of BP neural network module has 20 nodes.
The Expert System of Prediction of Stroke for Precision Straightening Based on Database
Authors: Lu Hong , He Qian , Lin He , Wang Yang , Zheng Li Tao , Zhang Wei Wei
Published: October 2010

Prediction of stroke for precision straightening is core part of flexible automatic straightening machine. Straightening process is a nonlinear process, and affected by many factors. In this paper, in order to improve the straightening precision, an expert system is developed based on the previous research, which mainly consists of database for keeping data, expert program for self-study and procedures for application. This paper focuses on designing the expert system and application process. Humanization of the software interface has been designed for ordinary operators and researchers. And at last this system’s feasibility is verified by comparison between these two results, the performance of established expert system is excellent. It will be helpful to the development of automatic straightening machine’s control system.
Error Modeling and Compensation of Linear Motors Positioning Stage Based on RBF Network
Authors: Lin Jian , Wang Mu Lan
Published: October 2010

The error measuring, modeling and compensation techniques for the positioning stage driven by NC linear motors are studied. The error source of the positioning stage is analyzed, the positioning errors are measured by the laser interferometer, and the neural network error model is set up by RBF algorithm. In order to evaluate the accuracy of RBF network prediction method, part of the error samples are used to test. A DSP-core linear motor experimental platform is built up, the error compensation experiments are conducted, the real-time requirement is proved to be met. The simulation and experimental results indicate that the RBF neural network error model trained by samples has a good learning ability and generalization ability, the positioning accuracy is improved significantly, and the effect of random errors on the system is reduced also.
The Electro-Hydraulic Proportional Control and Simulation of the Radial Piston Pump Based on Proportional-Integral-Derivative Neural Network
Authors: Li Lan , Ye Jiang , Zheng Xue Fei
Published: October 2010

In this paper a new control method has been studied in which PID control system was integrated into the neural network. It could overcome some disadvantages such as neural network’s slow rate of convergence and PID’s difficulty in application of multivariate nonlinear systems. A controller of the Electro-hydraulic proportional control stroking mechanism for radial piston pump was designed based on the PID neural network control algorithm. The system responses of system variable control signal of system track were achieved by computer simulation. It was found by PIDNN that the control system could reach steady state in a shorter time, compared with PID control system response time by 65% to 80%. The simulation results showed that the controller for the Electro-hydraulic proportional Radial Piston Pump based PID neural network control algorithm would have a good controlling performance.
The Assemblability Evaluation of Automotive Glass Windshield Mold Based on Fuzzy Neural Network
Authors: Teng Lai , Wang Li Zhong , Yu De Hong , Zang Shun Lai , Jiao Yu
Published: October 2010

Nowadays the production of mold seriously restricts the manufacture of products as well as the development of new products, it has become an urgent problem to be solved. The paper mainly discussed the fuzzy neural network model and learning algorithm, and utilized expert evaluating system to acquire the training and test samples. Moreover, it established the related mapping model for fuzzy neural network to evaluate the assemblability of mold, so as to improve the productivity of mold. By adopting two different fuzzy neural networks to contrast and evaluate the assemblability evaluation system of the parts of windshield mold, it was concluded that the improved fuzzy neural network model had advantage over the conventional one. Finally, the satisfactory results of assemblability evaluation system of windshield mold had been achieved by coming with examples to carry out error analysis of the assemblability evaluation system.
The Study and Design of UAV Dynamic Inversion Flight Control Law
Authors: He Ji Lin , Jiang Rao Bao , Liu Bo , Zhao Xin , He Qing Hua
Published: October 2010

That the dynamic model is characteristic of nonlinearity and that linear equation design approach based on small perturbations of linear system has failed to meet the design requirements cause the study of the dynamic inversion control. Integrating the dynamic inversion theory and the UAV nonlinear mathematical model, the paper, in accordance with the speed of status variable change, has designed respectively the UAV inner-loop fast variable and outer-loop slow variable controllers and thus, found the dynamic inversion flight control law applicable to UAV and conducted the simulation study. A conclusion can be drawn that the control law is satisfactory in flight control.
Sensing Analysis of Aluminum Alloy Materials Based on Chemical Acoustic Emission Signals
Authors: Cao Zhong , Zeng Ju Lan , Dai Yi Min , Li Xun , Luo Dong Mei
Published: October 2010

The frequency domain power spectra of acoustic emission (AE) signals from different metal-acid reaction processes such as 6111 Al-alloy-hydrochloric acid (HCl) and 7070 Al-alloy-HCl for evolving hydrogen gases were obtained by fast Fourier transform (FFT) program and used for chemical analysis of different metal materials. Averaged power spectra from these processes and their corresponding characteristics were extracted. The characteristic AE frequency signals could be used for chemical pattern recognition of different metal materials like 6111 and 7050 aluminum alloys from the metal-acid reaction processes, that the principal component analysis (PCA) with appropriate frequency selection procedure gave a satisfactory classification with a correct rate of 78.1%. The back-propagation (BP) algorithm of artificial neural network (ANN) could give better recognition of AE signals for 6111 and 7050 alloys with a correct rate of 100%. Moreover, the AE energetic parameters are linearly correlated with the pH value of the acidic buffer solution, which opens a new possibility for quantitatively analytical application of AE signals on metal materials.
Reinforcement Learning Based Self-Constructing Fuzzy Neural Network Controller for AC Motor Drives
Authors: Wang Quan , Qin Juan Ying , Zhou Jun Hua
Published: October 2010

A self-constructing fuzzy neural network (SCFNN) based on reinforcement learning is proposed in this study. In the SCFNN, structure and parameter learning are implemented simultaneously. Structure learning is based on uniform division of the input space and distribution of membership function. The structure and membership parameters are organized as real value chromosomes, and the chromosomes are trained by the reinforcement learning based on genetic algorithm. This paper uses Matlab/Simulink to establish simulation platform and several simulations are provided to demonstrate the effectiveness of the proposed SCFNN control stratagem with the implementation of AC motor speed drive. The simulation results show that the AC drive system with SCFNN has good anti-disturbance performance while the load change randomly.
Modeling of Piezoelectric Plate and Control Test
Authors: Yao Jun
Published: October 2010

This paper introduces mechanics and electronic coupling mode of piezoelectric intelligent structures, and discusses the key technology and potential prospect of intelligent structures in application of vibration control. A multiple-input multiple-output transfer function model of piezoelectric plates is derived and an analogy for modal control between the piezoelectric structures and general ones is established. A concept, "piezoelectric vibration modes", is presented. Based on this concept and by experiment development, a "quasi-independent modal control" technique is presented, attempting to approach, with hardware as simple as possible, independent modal control. The experiment progress and results for multiple modal damping control show its effectiveness and practicality. The modal damping of piezoelectric intelligent structures can be increased enormously. They have good advantage and potential prospect in application of structure vibration control.
Application of Self-Adaptive Fuzzy PID Algorithm in the Control of the Oscillating-Plate Necking-In Machine Based on the Co-Simulation of DSHplus and Simulink
Authors: Zhang Zhi Wei , Liu Fu Chun , Wu Zhong You
Published: October 2010

The necking-in product is widely used in many fields in the world. An improved necking-in machine is introduced in this paper. Matlab/Simulink is the popular simulation software in the dynamic system simulation field due to its powerful computing capability. DSHplus is the hydraulic special simulation software with graphical programming environment and abundance of model libraries and the system model can be built quickly. The co-simulation of DSHplus and Matlab/Simulink can take the advantage of their merits, which can study the control algorithm that applied on the hydraulic proportional system better. The Fuzzy PID control algorithm can apply logistic inference to tune the PID parameters automatically according to the working condition, which can solve many engineering problem of high performance requirements. So the Fuzzy PID algorithm is applied in this paper to improve the performance of the hydraulic system.
A New Genetic Algorithm Based on Optimal Solution Orientation
Authors: Wang Quan , Liu Jin Chao , Wang Pan , Qin Juan Ying
Published: October 2010

Many researchers have indicated that standard genetic algorithm suffers from the dilemma---premature or non-convergence. Most researchers focused on finding better search strategies, and designing various new heuristic methods. It seemed effective. From another view, we can transform search space with a samestate-mapping. A special genetic algorithm applied to the new search space would achieve better performance. Thus, we present a new genetic algorithm based on optimal solution orientation. In this paper, a new genetic algorithm based on optimum solution orientation is presented. The algorithm is divided into "optimum solution orientation" phase and "highly accurately searching in local domain of global optimal solution" phase. Theoretical analysis and experiments indicate that OSOGA can find the "optimal" sub domain effectively. Cooperating with local search algorithm, OSOGA can achieve highly precision solution with limited computing resources.
Rotor Speed Adaptive Identification of Direct Torque Control for Induction Motor
Authors: She Zhi Ting , Zheng Yong , Peng Yong Jin
Published: October 2010

Based on the dynamic mathematical model of induction motor, the mutual model reference adaptive system method (MRAS) for rotor speed identification is proposed to implement a speed sensorless direct torque control. The model reference adaptive theory is flexibly used in the rotor speed and the stator resistance online identification. The reference model and adjustable model used in the mutual MRAS scheme are interchangeable. Therefore, the control system can obtain high-precision speed identification. Simulation results show the method can solve the problems of speed control accuracy and system stability under the influence of motor parameter variation. The low speed performance of DTC is also improved.
The Improvement of Real-Time Performance of 3-Tier C/S Using LAD Scheduling Algorithm in Middleware
Authors: Ye Jiang , Li Jian
Published: October 2010

This paper studied the real-time performance of three-tier client/server architecture used in remote monitoring system. A scheduling algorithm was adopted in middleware of this architecture, which based on the regulation: setting the priority of task according to the percentage of useful data in the data-buffer or the LAD (most locally available data first) but not according to the earliest deadline. Contrast simulation of the improved algorithm and EDF (earliest deadline first algorithm) had been achieved from program developed using VC++ at different average task lengths and update workloads under the tentative parameters such as the size of data in different data-buffer, the time used for fetch an object from these data-buffers and average task inter-arrival time. The results showed that the LAD’s completed task percentage before deadlines was higher than EDF, which proved LAD was more suitable to improve the real-time performance of three-tier client/server architecture.
Intelligent Wheelchair System Based on Collaborative Kansei Engineering
Authors: Zhou Tie , Yang Yong
Published: October 2010

Intelligent wheelchair system (IWS) is a potential selection for the elderly and disabled people to improve and enhance the quality of their daily lives and work. Based on the theory of collaborative Kansei engineering, a new intelligent wheelchair system has been developed. The system integrates the advanced Kansei characteristics of human such as affections, feelings, emotions, etc, to the wheelchair system. This new IWS is very comprehensive, creative and humanized. Modern wheelchair with the IWS helps to add recognition, understanding, and cooperative communications between the elderly and disabled people and the wheelchair system.
The Study of Soccer Robot Path Planning Based on Grid-Based Potential Field Method Improvements
Authors: Zhao Xiao Jun , Bi Jia , Liu Meng Zhe , Chen Lei
Published: October 2010

An improved dynamic Grid-based potential field method was proposed based on the consideration that the goal, robot and obstacles in robot soccer compete are all dynamic. We combined the advantages of potential field method and the grid method, set the grid method to represent the environment, and got dynamic potential function in the potential field method. We used dynamic potential function to form the inspire function of the search algorithm A* which is used for the search of adjacent nodes. The dynamic Grid-based potential field method meets the real-time planning requirements in the complex and dynamic environment. And it has received very good results in solving the local minima problem of the traditional potential field and improving the planning efficiency. It is better in security and reliability. Simulation results show that the method is feasible and effective in soccer robot path planning.
Effect of Plastic Deformation on the Mechanical Properties and Microstructure of Homogenized AZ80 Magnesium Alloy
Authors: Xue Yong , Zhang Zhi Min , Lang Li Hui
Published: October 2010

In the present research, the influences of different extrusion ratios (15, 30, 45, 60, and 75) and extrusion temperatures (300°C, 330°C, 360°C, 390°C, 420°C) on the mechanical properties and microstructure of homogenized AZ80 alloy have been investigated through the tensile tests and via metallographic microscope observation. The results show that the alloy’s grain is small and small amounts of black hard and brittle second-phase β (Mg17Al12) are precipitated uniformly along the grain boundary causing the gradual increase of the alloy’s tensile strength at 330°C. When the extrusion temperature is up to 390°C, the grain size increases significantly, but the second phase precipitation along grain boundaries transforms into continuous and uniform-distribution precipitation within the grain. In this case, when the extrusion ratio is 60, the alloy’s tensile strength reaches its peak 390Mpa. As the extrusion temperature increases, inhomogeneous precipitation of the second-phase along grain boundaries increases, causing the decrease of the alloy’s strength. At the same temperature, the tensile strength increases firstly and then decreases as extrusion ratio increases. With the gradual increase of the refinement grain, the dispersed precipitates increase and the alloy’s tensile strength and plasticity reach their peaks when the extrusion temperature is 390°C. As the grain grows, the second phase becomes inhomogeneous distribution, and the alloy’s strength and plasticity gradually decrease.
Study on Mathematical Modeling Method for Photoelectric Stable Platform
Authors: Bi Yong Li
Published: October 2010

Nowadays, some kinds of the photoelectric stable platforms have applied the digital controllers. In the course of designing the digital controllers, designers usually depended on the personal experience or the rough mathematical models. As a result, designers spent a long time regulating the control parameters in order to obtain better control performance. Therefore, it is very important and necessary to establish the precise mathematical model for the photoelectric stable platform system before designing the digital controller for it. In the paper, firstly, using principle analyzing method establishes the common analog mathematical model for it. And then, the parameter estimation methods of the parameters to be determined are discussed from two aspects of the time domain and the frequency domain. These lay a good foundation for implementing the effective digital controller designing for the photoelectric stable platform system.
Precision Construction in Japan - Utilization of Information and Communication Technology
Authors: Tateyama Kazuyoshi , Omae Nobuo
Published: October 2010

Various information and communication technologies have been introduced to conventional construction methodologies to make them more advanced. Although these advanced methodologies are often referred to as “Intelligent construction” or “Smart construction” in Japan, we call them “Precision construction” here to make their purpose clearer. Precision construction generally has two different functions. One is to support machine control and the other is to support the flexible decision making of the on-site engineers. This paper introduces the present conditions and the foresight of precision construction in Japan.
Design of Frequency Control System for Centrifuge in Multi-Parameter Combined Environmental Testing Device
Authors: Rong Zuo Chao , He Wen , Shen Run Jie
Published: October 2010

In the centrifuge of the multi-parameter combined environmental testing device, the three-phase induction motor could not be started directly at the frequency of 50Hz due to the large moment of inertia of the centrifuge rotor. Therefore, large torque output of the three-phase induction motor was required at low frequencies. And the specimen needed stepless rotational speed adjustment (40-130r/min). A set of frequency control system was developed based on vector control with PG, inverter and LabVIEW to solve these problems. The principle of the centrifuge was present. The principles of vector control with PG of three-phase induction motor were analyzed. Based on the mechanical characteristic of three-phase induction motor, vector control with PG was employed in the system. The system control software based on LabVIEW was presented, which realized stepless speed adjustment of the centrifuge on a computer. Experimental results show that the developed system could realize the stepless regulation of the specimen’s centrifugal acceleration.
The Modeling of Steam Turbine Speed Control System Based on Radial Basis Function Neural Network
Authors: Ren Yong , Yang Tao , Gao Wei , Li Yang Hai
Published: October 2010

The model of speed control system plays an important role in power system stability studies, the non-linear properties prevent us from getting accurate mechanism model. In this paper, the radial basis function neural network with self-structuring and fast convergence is used in the modeling of steam turbine speed control system in the modeling process, also, this paper presents a method which combines particle swarm optimization algorithm and least-squares algorithm for the neural network’s training, it has the property of high accuracy and fast convergence, after training, the proposed model and related training algorithm are verified by the test data of one power plant, it has proved that the neural network can be used in the modeling of the speed control system for the power system stability studies.
Modeling and Stability Analysis of Multi-Rate Networked Control Systems with Multiple Control Loops
Authors: Liu Dian Ting , Zhou De Jian , Liu Yao Ming
Published: October 2010

A kind of multi-input and multi-output network control system with multiple independent control loops is examined in this paper. The controller of each control loop is connected with the sensor and actuator by a network and each control loop has a different sampling period. The whole mathematical model of this kind of networked control system is set up when the maximum network-induced delay is smaller than one sampling period. And the sufficient condition subject to the asymptotic stability of this kind of networked control system is derived based on the theorem for estimation of feature value deduced from perturbation theory. The research results of this paper have significance in the analysis and design of this kind of networked control system or a similar networked control system.
Development and Application of Capacitor Compensation AC De-Icing Equipment
Authors: Lu Jia Zheng , Yang Li , Zhang Hong Xian , Fang Zhen , Li Bo
Published: October 2010

Considering that conventional AC de-icing method has many shortcomings such as complicated braking operation and difficult arrangement for power operation modes, we propose the new AC de-icing technology using capacitor compensation. On this basis, a novel regulative capacitor series-wound compensating AC de-icing equipment is developed, which works through controlling the line current to be within the permitted range in order to melt the ice. By the unique design mechanism of changing the series-parallel connection modes of capacitor combination and capacitor number for each combination, this equipment can make reasonable compensation for transmission line of arbitrary length within 40 km. Field test at JiLi 220kV substation of Hunan province manifests that this new-style AC de-icing equipment has remarkable effect with low energy consumption, simple operation and low engineering cost, thus has bright prospects of engineering application.
Design and Experimental Study of a Novel Fault Current Limiter
Authors: Zhao Chun , Lu Jia Zheng , Jiang Zheng Long , Fang Zhen , Li Bo
Published: October 2010

Limiting the short-circuit current effectively is of great importance to keep the safe and steady running of the power system. A novel fault current limiter (FCL) on the basis of a high speed switch and a triggered vacuum switch (TVS) is presented. The high speed switch is used to break the short-circuit current of the power system. The TVS is used to discharge the precharged pulse capacitor so as to rapidly extinguish the arc in the high speed switch and to realize the active transfer of the short-circuit current. A resistor is used to limit the short-circuit current. The parameters of the FCL for the 10 kV power system are designed and a FCL apparatus is fabricated. An onsite experiment of the FCL apparatus is performed in an actual transmission line of a substation. The FCL apparatus operates normally and achieves the expected current limiting effect.
A Modified Quality Control Method for Manufacturing Process in Mask Industry
Authors: Chiu Wei Fen , Gu Yuan Tong , Karim M. Azharul , Ma Lin
Published: October 2010

Masks are widely used in different industries, for example, traditional metal industry, hospitals or semiconductor industry. Quality is a critical issue in mask industry as it is related to public health and safety. Traditional quality practices for manufacturing process have some limitations in implementing them in mask industries. This paper aims to investigate the suitability of Six Sigma quality control method for the manufacturing process in the mask industry to provide high quality products, enhancing the process capacity, reducing the defects and the returned goods arising in a selected mask manufacturing company. This paper suggests that modifications necessary in Six Sigma method for effective implementation in mask industry.
Online Learning Algorithm of Gaussian Process Based on Adaptive Natural Gradient for Regression
Authors: Shen Qian Qian , Sun Zong Hai
Published: October 2010

Gaussian Process (GP) is a new learning method on nonlinear system modeling. The most common way of model training is conjugate gradient method, but this method should compute Heisenberg matrix which needs much computing resource. It is not a suitable training method for online learning algorithm. There is one online learning algorithm of GP which is named sparse online GP now. This algorithm has constraint to the training data sets. In order to satisfy the real-time modeling without the limit of the training data sets, an online algorithm of GP based on adaptive natural gradient (ANG) is proposed in this paper. The algorithm is applied in Continuous Stirred Tank Reactor (CSTR) modeling and the sparse online GP is also applied in CSTR modeling for comparison. Obtained from the simulation results, the algorithm is effective and has higher Accuracy compared with the sparse online GP algorithm.
Characterization of Products from Pyrolysis of Waste Wood-Based Composites Containing Urea-Formaldehyde Resins
Authors: Feng Yong Shun , Chen Shi Hua , Mu Jun
Published: October 2010

Products from pyrolysis of wood-based composites contain lots of valuable chemicals. The nitrogen compounds make such pyrolysis products different from those of general biomass. In this study, we characterized pyrolysis liquids and solid residues of waste wood-based composites such as particle board (PB) and medium density fiberboard (MDF). The study focuses mainly on the evolution of nitrogen compounds. Thermogravimetric analysis helped us to determine the optimum pyrolysis temperature. FTIR analysis was used to observe functions of nitrogen compounds in the solid residues. Components of pyrolysis liquids were analyzed by gas chromatography mass spectroscopy (GC-MS). Changes of FTIR spectrum indicate that C-N groups are reduced during pyrolysis process. Results from GC-MS analysis show that pyrolysis liquids are influenced a lot by the nitrogen compounds transferred from urea formaldehyde. Such changes will guide the utilization of pyrolysis products from waste wood-based composites.
High Speed Weld Control System of Dual-Bypass MIG Based on LabVIEW
Authors: Xue Cheng , Shi Yu , Fan Ding , Zhong Hao , Shi Ming Xiao
Published: October 2010

Dual-bypass MIG welding (DB-GMAW) is a new kind of high speed MIG welding with three arcs. In order to monitor the weld process and control it, a high speed weld system of DB-GMAW was built. The system was run by LabVIEW programs, including getting data of system and control output signals. The test result of system showed that all equipments could be used in the same time. Beside images of weld pool and arc, the weld voltages and currents of every part had been acquired. The signals of bypass current and weld speed also had been input TIG welding sources and worktable motor successfully. Meanwhile, the high speed weld formation had a good quality, and all of these established the closed-loop control of high speed DB-GMAW.
The Working Mechanism and Control Method of GL160C Metal Belt CVT
Authors: Zhang Lei , Yang Xiu Min , Wei Tao , Shi Ying Di
Published: October 2010

On the foundation of the analysis of the working mechanism of the GL160C continuously variable transmission (CVT), the mathematical model of the axial clamping force of the driving and driven pulleys are constructed. The relationship between the pressure of the driving and driven cylinders and the speed ratio of the CVT are derived while the CVT is transmitting the unit torque. The control method of the axial clamping force between the driving and driven pulleys, the control model of the CVT speed ratio are given. The following conclusions are drawn from the bench test and integral vehicle test: the acceleration performance and the stability of the speed ratio of the GL160C CVT are good, the power output is stable and reliable, the controller could achieve every functional requirement, all of which could guarantee that the output of the engine could run as the designed ideal dynamic curve and the ideal economical curve.
Average Run Lengths in Shewhart Type Charts for 2-Order Autoregressive Process
Authors: Sun Qiu Xia , Zhao Jian Li , Gao Qi Sheng
Published: October 2010

In this paper the average run length is adopted as the tool to describe the performance of control charts. The respective methods for calculating the average run length of the modified Shewhart control chart and the Shewhart residual control chart for 2-order autoregressive process are derived and shown in detail. By the proposed approach some numerical results of average run lengths of both Shewhart type charts are formulated and discussed. We analyze and compare that the influence of the correlation coefficients of the 2-order autoregressive process on the performance of both charts based on the estimated data. Several clear and main points of the issue are summed up. Lastly, we give some recommendations for the choice of both Shewhart type control schemes.
Prediction and Control for Profile Angle Error of Slotting Cutter of Herringbone Gear in Turbine Redactor
Authors: Li Bi Wen , Xiao Jin Feng , Zhang Chun Liang , Hu Liang Bin
Published: October 2010

Relative to gear shaping and gear hob, using gear slotting produces herringbone gear which is used in nuclear power turbine speed redactor has more obvious technical and economic benefits, but profile angle error of slotting cutter causes profile error and base pitch deviation of herringbone gear. It will result in high-frequency noise which damages the tactical and technical performance of warship. By analyzed the wire cutting system of rack cutter used in MAAG type gear machining for herringbone gear, the mathematical model of error prediction for rack cutter profile angle was founded. On the base of model of error prediction, the principle of error control and the method of revision control are presented. Finally, the example of prediction and control is provided.
Research and Development of the 5-Axis Shoe Last NC Machine
Authors: Nie Xiao Gen , Liu Yan Bing
Published: October 2010

Based on the analysis of the disadvantages of shoe last making with 3-axis shoe last NC machine, this paper presents a novel solution for last making with 5-axis shoe last NC machine, introduces the working principles, motions, components and implementation of 5-axis shoe last NC machine in detail. A key feature of the machine is that it can produce complete lasts in one working process, avoiding milling the toe and heel with final manual finishing operations. This paper proposes an algorithm of the tool path generation of the machine. By the grid data of the last surfaces and spiral interpolation, we can obtain the cutter contact points and cutter location points and then deduce the formula of solving each component motion in the machining. A model machine developed by the presented solution demonstrates the improved machining efficiency and high quality of shoe last.