bluuebunny/crossref_metadata_2025 huggingface dataset:
Three-Dimensional Finite Element Simulation of Cylindrical Turning of Titanium Alloys
Authors: Su Yu
Published: December 2010

The understanding of cutting mechanism is important for the improvement of machinability of difficult-to-cut materials. Finite element method (FEM) is an effective way to study the metal cutting process. This paper establishes a finite element model of cylindrical turning of titanium alloys, and then simulates cutting force and tool temperature distribution under different cutting parameters. The simulation results show that in the high-speed cylindrical turning of titanium alloys, depth of cut has a greater influence on principal cutting force than feed rate, while the effect of feed rate on the maximum tool temperature is more distinct than that of depth of cut.
Evaluating Mechanical Properties of Cement Materials by Depth-Sensing Indentation Method
Authors: Wang Xiu Fang , Bao Yi Wang , Li Kun Ming , Qiu Yan , Liu Xiao Gen
Published: December 2010

The energy consumption of crushing is directly affected by the mechanical properties of cement materials. The elastic modulus, energy dissipation, recovery resistance and other mechanical properties of cement materials are evaluated based on the depth-sensing indentation method in this work. It is significant and efficient for engineering application. In results, the calculated elastic modulus is close to that measured by dynamic method, being used to verify the correctness of the calculated data. And the calculated energy dissipation of clinker is higher than that of limestone and granite, which can partially be used to explain why the grinding of clinker consumes a lot of energy in cement industry. The recovery resistance of clinker is almost identical to that of granite, more than that of limestone. It is found that the clinker, in contrast to granite and limestone, exhibits better plasticity and greater energy absorption capacity.
Effect of Curing Time on the Pore Structure of the Portland Cement Concrete
Authors: Wang Wei Lun , Liu Peng
Published: December 2010

In this paper, the influence of curing time on the compressive strength and pore structure of the Portland cement concrete was investigated. The phase composition and morphology of hydration products of Portland cement were analyzed with X-ray diffraction (XRD). In addition, the porosity and pore distribution of the concrete were also researched using mercury intrusion porosimetry (MIP), surface area and porosity analyzer (BET). The results show that the influence of curing time on the compressive strength and pore structure of the concrete is obvious. With curing time increasing, the compressive strength of the concrete increased and the porosity decreased. The corresponding fractal dimension of the pore and the microstructure were changed, as well. With time increasing, more hydration products were produced.
The Force and Wear of Carbide Mill in Milling Glass
Authors: Wei Zhi , Gu Mei Lin , Wang Yu Tao , Li Tong Hui
Published: December 2010

The force and wear of carbide ball-end mill when quartz glass is milled in the dry state has been studied. Cutting experiments have been investigated for different cutting parameters. The relationship between milling force and cutting conditions has been analyzed. Mechanism and patterns of tool wear has also been studied. A group of reasonable milling parameters have been achieved to mill quartz glass using carbide ball-end mill and tool wear can be delayed in the selected group of cutting parameters.
Dynamics Characteristic of a Linear Oscillator with Nonlinear Damped Attachment as Energy Absorber
Authors: Cheng Jian Lian
Published: December 2010

The dynamics of a two-degree-of-freedom (2-DOF) nonlinear system, consisting of a grounded linear coupled to an attachment by means of an essentially nonlinear stiffness, is studied. The essential nonlinearity of the attachment enable it to resonate with any of the linearized modes of the substructure leading to energy pumping phenomena, irreversible transfer of energy from the substructure to the attachment. We then study analytically the periodic orbits of the system using a complexification/averaging technique in order to determine the frequency contents of the fundamental branches of solutions, and to understand the types of oscillation performed by the system at different regimes of the motion. The results of numerical analysis show complex dynamic structure of the system.
A Stress-State Related Void Coalescence Criterion and its Validation
Authors: Chen Zeng Tao , Datta Rahul
Published: December 2010

We propose a new critical void volume fraction (fc) criterion that identifies the onset of void coalescence based on the stress state of the material as compared to the definition of the phenomenological criterion by Tvergaard and Needleman [1], where void coalescence is predicted based merely on a constant value for critical void volume fraction. The new fc criterion is obtained using the finite element analysis of the unit cell model of clustered voids. Validation of this new criterion is done by implementing the new coalescence criterion into the Gurson-Tvergaard-Needleman (GTN) [1-3] model and simulating the ductile fracture experiment of a series of angularly notched sheet samples of dual phase (DP), advanced high strength steels (AHSS). A methodology has been devised to construct a stress triaxiality-based void coalescence criterion. Validation of the methodology has been performed using tensile tests of angularly notched samples of DP490 AHSS. Experimental data is compared with FE simulations in order to verify the dependency of void coalescence on stress triaxiality.
Nonlinear Numerical Simulation of Iced Conductor Galloping
Authors: Li Li , Hu Zi Dong , Cheng Zhi Yuan , Jiang Wei
Published: December 2010

A two-node cable element which the axial torsion and geometrical nonlinear were considered was developed based on the update Lagrange formulation, and a model of multi-span transmission line for galloping analysis was established. A nonlinear numerical simulation of single iced conductor galloping was proposed. Using computational fluid dynamic, the aerodynamic coefficient of iced conductor with different wind attack angle was simulated. According to the finite element model of multi-span transmission line and aerodynamic coefficient curve, the galloping of iced conductor through the method of fourth-ordered Runge-Kutta method was presented. By the comparison with the classical examples, the results indicated that the presented method are efficient and reliable.
Mechanism of Whisker Growth on Pure Sn Coating of Cu Leads in the High Temperature/Humidity Storage Tests
Authors: Zhang Jin Song , Zhang Jian Hua
Published: December 2010

Sn whiskers can grow spontaneously on the surface in Sn alloy coatings. This paper focused on the mechanism of whisker growth on the pure Sn coating to Cu leads in electronic components. After the rack plating process the pure Sn coating was annealed at 150°C for one hour and measured about 10mm in thickness. Then samples endured the high temperature/humidity storage tests (60°C and 87%RH) from 1 month to 6 months. The experimental results revealed that Sn whiskers were prone to grow from the surface with local corrosion in the Sn coating. This was the high temperature/humidity storage provided much moisture to cause an electrochemistry corrosion between Sn and H2O. The excess formation of SnO2 had a large molar volume comparing to Sn and this generated a high inner stress in the corroded areas to shear the coating surface producing the defects. The compressive stress deriving from the formation of Cu-Sn intermetallic compounds drove Sn whiskers initially grew from the corroded areas.
A Calibration Method for Distributed Optical Fiber Temperature Sensor
Authors: Chen Le , Zhang Xiao Li , Song Yan
Published: December 2010

Based on the principle of the distributed optical fiber temperature sensor, the research with temperature calibration technique for temperature measurement precision of system was studied in this paper. Accurate temperature was gotten by standards of environmental temperature thermometer, with different temperature calibration methods to solve the accuracy problem of the distributed optical fiber temperature sensor.
The Evaluation of Ductile Fracture Criteria (DFC) of 6061-T6 Aluminum Alloy
Authors: Tong Ying
Published: December 2010

As one of the principal failures, ductile fracturing restricts metal forming process. Cockcroft-Latham fracture criterion is suited for tenacity fracture in bulk metal-forming simulation. An innovative approach involving physical compression experiments, numerical simulations and mathematic computations provides mutual support to evaluate ductile damage cumulating process and ductile fracture criteria (DFC). The results show that the maximum cumulated damage decreases with strain rate rising, and the incremental ratios, that is damage sensitive rate, vary uniformly during the upsetting processes at different strain rates. The damage sensitive rate decreases rapidly, then it becomes stability in a constant 0.11 after true strain -0.85. The true strain -0.85 was assumed as the fracture strain, and the DFC of 6061-T6 aluminum alloy is almost a constant 0.2. According to DFC, the exact fracture moment and position during various forming processes will be predicted conveniently.
Research on the Properties of Milling and the Process Parameters Optimization for Aluminum-Alloy Thin-Walled Parts
Authors: Jiang Xiao Hui , Li Bei Zhi , Yang Jian Guo , Wu He Long
Published: December 2010

In this paper, with the milling processing of aluminum-alloy thin-walled parts as the research object, using software AdvantEdge, a milling simulation model is developed to study milling parameters affect on the cutting force, heat and catenation. It is found that by adjusting the ratio of milling parameters, the effects of cutting forces and heat can turn to the favorable direction of workpiece. In addition, we combine numerical simulation with experiments to explore the law of optimization of process parameters. It is discovered that the method of improving the milling speed and reducing the cutting depth properly can ensure the milling efficiency and the quality of the workpiece, providing a scientific insight for achieving high-quality, low-cost and efficient thin-walled parts manufacturing.
Forming Modeling of Tailor Rolled Blanks & Applied Keys in Panels
Authors: Du Ji Tao
Published: December 2010

Tailor rolling blanks(TRB) act an important method for automobile light-weight, the process model of TRB forming panels is put forward, key technologies for TRB rolling including TRB synthesized mathematic model, integrated control model of TRB thickness based on multi-domains and Frame model of TRB thickness integrated control are presented fused with virtual manufacturing technology(VMT) and KBE. The main value of thickness fluctuating is predicted by the mathematics model ,the process is verified by VMT, the warp of thickness fluctuating is forecast by networking. Key technologies of TRB forming panels including TRB material paramters confirm and TRB VMT are discussed. The result provides an effective approach for TRB rolling and takes on positive drived function for TRB forming in panels.
Study on Parameters for Affecting SCI of Sheet Metal Forming
Authors: Du Ji Tao
Published: December 2010

The surface contact impression(SCI) is the neglected forming defect and seriously affects surface quality and mechanical property of stamping parts. The technology parameters and affective degree which alleviate or eliminate SCI are researched , four factors including die radius(DR) , die clearance(DC), punch radius(PR) and friction condition(FC) , which each factor chooses three levels are designed and constitute a L9（34）orthogonal table. The experimental results indicate that the significances order of technology parameters affecting SCI is DR> PR > DC >FC. The analyzed result shows that the superior parameter affecting SCI is DR ,the inferior is FC, adapted DC greatly removes SCI. the research puts forward a reference for improving surface quality of stamping parts.
Investigation of the Milling Performance about Titanium Alloy Based on Orthogonal Experiment
Authors: Tang Ke Yan , Zhou Li Hua , Song Li
Published: December 2010

The milling process has been widely used for manufacturing aeronautical materials. It is very important to choose the reasonable milling parameters for improving the machining accuracy and surface quality. In this paper, the orthogonal experiments are made to construct the relationships between the milling force and milling parameters to TA15 titanium alloy. And the milling parameters mainly include milling speed, milling depth, milling width and feed engagement. And the empirical equations of milling force are gotten by regression analysis, and the equations are tested to be correct by the single factor experiment. The result is quite important for further research on the milling performance and can serve as a reference to production of titanium alloys.
The Characterization and Flow Behavior of 316L Stainless Steel Feedstock for Micro Metal Injection Molding (μMIM)
Authors: Haw Pei Li , Muhamad Norhamidi , Murthadha Hadi
Published: December 2010

The rheological behaviors of the Micro Metal Injection Molding feedstock are important for the stability of the feedstock during micro injection molding process and quality of the final micro-components. Homogeneous feedstocks are preferable for MIM process to ensure the dimensional consistency of molded components and prevent the defects of powder-binder separation or particle segregation. In this work, feedstocks with various formulations of 316L stainless steel and binder system were prepared by using Brabender Plastograph EC Plus mixer. The binder system comprises of palm stearin, polyethelene (PE) and stearic acid. In order to obtain the viscosity, activation energy, flow behavior and mold ability index, the rheological characterization of the feedstocks were investigated in numerous conditions by using Shimadzu 500-D capillary rheometer The study showed that all of the 316L stainless steel feedstocks are homogenous with pseudo-plastic behaviors.
Study on Bidirectional Controllable Flexible Bending Joints Based on Elongation Artificial Muscles
Authors: Geng De Xu , Zhao Ji , Zhang Lei , Zhao Yun Wei
Published: December 2010

Flexible joint plays an important role in compliant motion of robot and bionic function and so on. We developed a new type bidirectional controllable flexible bending joint based on elongation artificial muscles, and which can axial elongate and bend two-dimensional two-way control in space. Furthermore, we had theoretical and experimental analysis on both axial elongation and bending deformation of joint, and get the pressure-elongation relationship and bending moment-angle properties. And this study could be valuable for the dynamic analysis and motion accuracy control of the robots driven by this type flexible joint.
Synthesis of Titanium Disilicide by the “Chemical Oven” Self-Propagating Combustion Method
Authors: Xu Jian Guang , Li Chuan Chuan
Published: December 2010

TiSi2 (Titanium disilicide) has attracted great research interest due to its large silicon content, remarkably low electrical resistivity (about13–16μΩcm), good photocatalytic property, high temperature stability, and good corrosion resistance. It is an excellent electronic material and potential photocatalyst and high temperature structure material. In this work, TiSi2 was prepared by using the “chemical oven” enhanced self-propagating combustion method from the elemental powder compact. The mixture of Si and Ti (atomic ratio 3:5) were ignited as chemical oven. The composition of product was detected by XRD. Result shows the product is a single phase titanium disilicide with trace impurities. The maximum combustion temperature of Ti+2Si compact was up to 1472°C, which exceeds the lowest eutectic point (1330°C) of the Ti-Si binary mixture. Thus it can be predicted the formation of TiSi2 is primarily dominated by the solid-liquid mechanism, which includes dissolving solid reactants and precipitating silicide product. It could also be convinced by SEM photos of the combustion product and reacting zone of the compact.
Research on the Swinging Planetary Drive and the Swinging Planetary Pneumatic Motor
Authors: Liu Hu Ran
Published: December 2010

The method to analysis the strength of planetary trains’ carriers of EPB(earth pressure balance) shield machine is presented in this paper. The structure of the shield machine trains is analyzed and the 3-D solid model of the carrier is built with Pro/E. After the load on the carrier has been dealt with, the strength of carrier is calculated by means of finite element method. The results via ANSYS show that the max stress and strain on the carriers are increasing as the increasing load on it. The max stress is lying on the joint point of the carrier and planetary gear shaft because of the bending deformation of the shaft
Fundamental Equations of Load Deviation of the Gears in Compound Gearing
Authors: Liu Hu Ran
Published: December 2010

Based on the torsion deformation the gear body and the contact deformation of tooth surface, the fundamental equations of load of the gear was presented, thus established the theoretical basis of the load derivation of the gearing. In this paper, the torsion deformation of the circular arc gears is analyzed first. Then the second order differential equation for the tooth surface load distribution of the involutes gears has been deduced. ompound gearing means more than 2 gears are in meshing with each other. For example, gear1 drives gear2 while gear2 inturn drives gear3. This paper deals the load deviation in this situation.
Complex Maintenance of Aircraft Engine Structural Components Using Genetic Algorithm and Multi-Objective Optimization
Authors: Cai Jin , Li Yuan , Yu Jian Feng , Tao Hua
Published: December 2010

The GA and multi-objective optimization approach is flexible in application and extremely reliable, providing optimal results for all optimization problems attempted. Aircraft engine maintenance using nonlinear analyses. This considerably slows the entire production and maintenance process. There are three approaches for this purpose. GA with a gradient-based method to improve quality enhancements and moderate convergence efficiency; the multi-objective framework will integrate the analysis codes for multiple disciplines, instead of relying on one code to perform the analysis for all disciplines; using optimize a multi-objective model by implementation of GA instead the computationally expensive functions. Results indicate that is to provide a capability to yield a better production and maintenance in much reduced time and cost.
High Velocity Compaction of 316L Stainless Powder
Authors: Chen Jin , Xiao Zhi Yu , Li Chao Jie , Deng San Cai , Ngai Tungwai Leo , Li Yuan Yuan
Published: December 2010

High velocity compaction technology was used to press 316L stainless powders. Effects of impact times on stress wave, green density and ejection force were analyzed. It was found that under the same total impact energy, the first loading time and the actuation duration of the second impact in double impact process were longer when compared with single impact process, while the first delay time was shorter. Furthermore, the green density of compacts prepared by double impact was greater than that prepared by single impact, but no obvious variation in maximum ejection force can be observed between single impact and double impact process.
Application of KingView and PLC in Tailing Cementation-Filling Automatic Control System
Authors: Xu Wen Shang , Li An Xin , Liu Cai Xia
Published: December 2010

In this paper, making application of configuration software KingView6.52 and PLC in tailing cementation-filling automatic control system for an example, introduces the software configuration and hardware configuration of the system, details of the design of the control system and develops friendly monitoring interfaces using KingView6.52.The upper computer communicates with PLC by PROFIBUS and realizes remote control.
Effect of Thermal Annealing in NH3 Ambient on Nanoporous n-GaN and Subsequent Epilayer
Authors: Wang Xin Zhong , Yu Guang Hui , Li Shi Guo , Wu Cheng Guo
Published: December 2010

Thermal annealing effects on the recovery of surface-etched nanoporous n-type gallium nitride (GaN) templates for growth optimization have been investigated. The electrical and optical performances of nanoporous GaN templates can be improved by annealed at 950°C within the NH3 ambient, leading to the quality increase for subsequent growth. Mechanisms responsible for reducing defects and recovering nonstoichiometric layer are then discussed.
Measurement of Extensional Rheological Properties of HDPE by Melt Spinning Techniques
Authors: Xu Hai Hang , Zhong Lei , Liang Ji Zhao
Published: December 2010

Extensional rheological properties of HDPE was measured and investigated by melt spinning techniques. It was observed that the melt strength of HDPE decreased with the rise of temperature. According to the slope of Arrhennius plots, melt strength activation energy was calculated. The curves of extensional stress and viscosity were plotted. Analysis of the results under different conditions indicated that with the rise of strain rate, the stress increased and the viscosity decreased, whereas higher temperatures yielded lower stress and viscosity. In addition, it was found that faster extrusion velocity caused lower level of extensional stress and viscosity during the experiment.
Preparation of Silica-Based Alkaline Slurry and its Application on Chemical Mechanical Polishing of Hard Disk Substrates
Authors: Wang Sheng Li , Li Zhen Xia , Mu Hui Lai , Tian Yu , Yang Li Bing
Published: December 2010

Chemical mechanical polishing (CMP) is the effective technology which obtains high accuracy surface of hard disk substrate with nickel-phosphorus (Ni-P) coating. The slurry is significant factor in hard disk substrate CMP. Colloidal silica-based alkaline slurry was prepared based on negative pressure vortex method. The effects of slurry parameters such as abrasive concentration, organic alkali concentration and oxidant concentration on material removal rate and surface characteristics were investigated. The experimental result indicated that the abrasive concentration was 20wt%, the slurry pH value was 11.2, the oxidant concentration was 15ml/L, improved surface roughness and polishing efficiency of hard disk substrates, a smooth surface was obtained and micro scratches could hardly be observed.
Medical Image Retrieval by Fuzzy Set Based Geometric Relationships
Authors: Liu Hui , Xing Xiao Hui
Published: December 2010

Modeling spatial context (e.g., autocorrelation) is a key challenge in classification and retrieval problems that arise in image processing regions. This work proposes a new approach for medical images retrieval enlightened by traditional Markov Random Field model and improve on it. Contrasting with previous work, this method relies on coping with the ambiguity of spatial relative position concepts: a new definition of the geometric relationship between two objects in a fuzzy set framework is proposed. This definition is based on a fuzzy pattern-matching approach, which comparing an object by the fuzzy set representation of the degree of position satisfaction to a reference object. Furthermore, Fuzzy Attributed Relational Graphs (FARGs) are used in this framework for the purpose of medical image similarity measurement.
Application of Laser Metal Deposition for Fabrication of Titanium Matrix Wear-Resistant Coating and its Wearing Performance
Authors: Qin Lan Yun , Yang Guang , Wang Wei , Tong Ming , Wang Xing Liang
Published: December 2010

TiC reinforced titanium matrix functionally graded materials （FGM） has been produced by processes of laser metal deposition through changing the powder feed rate of Ti and Cr3C2 powder. The OM, SEM, EDS methods were used to analyze the components and microstructure of the coatings. Microhardness and wearing resistance at room temperature of the FGM coating were examined by microhardness tester and wear tester respectively. The results show that FGM coating reinforced by in-situ TiC apparently improved hardness of Ti alloy; the microhardness can reach HV1100, and present gradient distribution along deposition direction. Dry sliding wear properties of these FGM coatings have been compared with substrate materials wearing. The observed wearing mechanisms are summarized and related to detailed microstructural observations. The results show the wear resistance of the coating can be improved by 46.6 times.
Wavelet Vector Machines Blind Equalization Algorithm Based on Variable Segmentation Error Function
Authors: Guo Ye Cai , Zhang Zhi Chao
Published: December 2010

To overcome the disadvantage of constant modulus algorithm's slow convergence and local minimum, this paper presents a wavelet vector machine blind equalization algorithm based on variable segmentation error function. This proposed algorithm uses support vector machine to optimize the initial weight vector, then, it switches to Wavelet Constant Modulus blind equalization Algorithm(WCMA) with odd symmetry variable segmentation error function. The computer simulation with underwater acoustic channel demonstrates that the proposed algorithm has fast convergence rate and small mean square error.
Image Dense Matching Method Based on Wavelet Edge Detection and Region Growing
Authors: Zhang Li Guo , Kou Hong Jie , Zhao Yu Chun
Published: December 2010

Aiming at the computer vision image, firstly, image edge feature is obtained using the edge detection algorithm based on wavelet analysis, selecting some seed points, comparing the gray similarity of seeds, the result of the initial match is based on the SIFT matching algorithm. The weighted SSD (Sum of Squared Difference) series, as the objective function, spread the seeds to the rest of the image matching area with the original growing strategy. Experimental results show that the algorithm was effective to large parallax pictures, images without calibration, and images which textures are sparse.
The Algorithm of Moving Objects Detection and Movement Templates Based on OpenCV
Authors: Zhu Li Zhao , Chen Xiao Rong
Published: December 2010

Aimed at the characteristics of the algorithms for moving objects detection, this paper describes the detection algorithm which integrates movement templates detection and the algorithm of two consecutive frames difference. Judging the time-out of the images, we can determine whether moving history images will be updated or not. It presents how to implement the algorithm with OpenCV as well as VC++ 6.0 to realize the purpose of moving objects detection.
Ajax Technology’s Application and Research in Network Teaching Resources Library System
Authors: Zheng Qian Sheng , Bi Xiao Ming
Published: December 2010

This paper describes the Ajax technology as well as asynchronous communication model and the traditional model’s difference, discusses the Ajax technology’s application in network teaching resources library system, implements asynchronous data transmission in the case of no page refreshing, enhances interactive of network teaching resources library system, and improves the efficiency of the network teaching resources server. At the same time, this paper also analyzes the adverse factors; this has certain guide significance for the use of Ajax technology to develop network teaching resources library.
The Attribute Selection Method Based on PSO
Authors: Zheng Li Ping , Jiang Hua , Li Jun Qing
Published: December 2010

In order to reduce the instances influence, PSO-based attribute selection method is proposed in this paper. This method mainly use PSO algorithm to solve the optimal entropy of instances and obtain the corresponding attribute threshold value. According to the threshold, the attribute priority is determined. At last, selecting attribute according to priority. In experiment, specify the concept attribute priority in ontolgoy and verify the algorithm performance. Experimental results show that this algorithm reduces the dependency to instances and improve the accuracy. Otherwise, the computation quantity is reduced.
Intelligent Control of Flocculation Process Based on Radial Basis Probabilistic Neural Network for Sewage Treatment
Authors: Tian Jing Wen , Gao Mei Juan
Published: December 2010

The flocculating process of sewage treatment is a complicated and nonlinear system, and it is very difficult to found the process model to describe it. The radial basis probabilistic neural network (RBPNN) has the ability of strong function approach and fast convergence. In this paper, an intelligent optimized control system based on radial basis probabilistic neural network is presented. We constructed the structure of radial basis probabilistic neural network that used for controlling the flocculation process, and adopt the K-Nearest Neighbor algorithm and least square method to train the network. We given the architecture of control system and analyzed the working process of system. In this system, the parameters of flocculation process were measured using sensors, and then the control system can control the flocculation process real-time. The system was used in the sewage treatment plant. The experimental results prove that this system is feasible.
Research on Laser Cleaning of Ultra Precision Machining Hard-Brittle Workpieces
Authors: Kang Gui Wen
Published: December 2010

With the rapid development of modern optics and correlative science and technology, hard-brittle materials such as optical glass, optical crystal and glass ceramic have very important applications in the fields of military, space and aviation, electronics and so on. It is of great importance to research optical machining method for hard-brittle materials for the development of science and technology. Different kinds of ultra precision machining methods have been developed to meet different industry requirement. Such as chemical mechanical polishing, precession polishing and magnetorheological finishing, etc. Under most conditions the optical surface after ultra precision machining would have certain contaminant particles and this would affect its working ability in future use. Formerly the polished workpiece is cleaned by flowing water or ultrasonic cleaning and the contaminant particles couldn’t be totally removed. Laser cleaning is brought forward in this paper and good results could be anticipated.
Research of Automatic Extraction of Human Dimensions Based on Hybrid Programming of MATLAB and VB
Authors: Kong Hai Yan , Qin Fang , Gu Bing Fei , Liu Guo Lian
Published: December 2010

In the research of 2D anthropometry and application, the pattern design system of men’s pants developed by this paper has full capacity of automatic pattern design, which needn’t any manual operation. The system only needs body front and side photos of clients, and allows clients to change the pants style through the design interface so that pattern design can complete automatically. Automatic extraction of body size data is realizing by obtaining M document according to MATLAB program and transferring it. This paper is to translate body size extraction procedure to a document which can be directly transferred by using MATLAB software so as to realize automatic extraction of body size based on VB language. This is basic step of developing 2D anthropometry and application system which lay the foundation for auto-generation of paper pattern.
FPGA-Based Pulse Compression for Linear Frequency Modulated Signal
Authors: Su Xi , Bai Peng , Wang Yi Ying , Feng Yan Ping
Published: December 2010

Nowadays, compressing linear frequency modulated signals is usually based on DSP and realized by software. It is not only has no advantages on real-time operations but also has high requirements of hardware in processing a multitude of FFT points. Accordingly, we propose a new method to achieve the pulse compression of linear frequency modulated signals through FPGA and simulation results are also promoted. In contrast with using DSP, the new method based on FPGA has a much better performance on reliability, speed and a lower demand of hardware quantity.
A Video Watermark Method Based on Chaotic Encryption
Authors: Peng Li Sen , Chen Yong Qiang , Hu Han Ping
Published: December 2010

An effective and integrated video watermark scheme mainly includes watermark generation, watermark embedding, watermark detecting, and watermark attack. The watermark data come from a meaningful binary image encrypted by two-dimensional chaotic stream encryption to improve watermark security. In the procedure of watermark embedding, watermarks are embedded into the random selected video frames through modifying the DCT coefficients. After robust and frame processes, watermarks can be mainly extracted and identified through watermark extracting algorithm. The experimental results show that the proposed video watermark method has some performances of security, imperceptibility and robustness.
Handwritten Character Recognition Research Based on Adaptive Minimum Distance Classifiers Integration
Authors: Tang Zhao Ping , Sun Jian Ping , Zhong Lu Sheng
Published: December 2010

It is difficulty to gain completely satisfactory effect if a single classification is used to check a complicated recognition classification problem. Using the complementarities between the different classify method, integrating many classifiers, it can reduce the identification mistake and strengthen recognition robustness. Taking a offline handwritten number recognition system as an example, adopting Bayesian discriminate function based on minimal mistake rate, uniting recognition algorithm of RBF kernel function, using Bagging technology, adaptive minimum distance classifiers integration is designed in which there is minimal mistake rate. Furthermore, an offline handwritten number recognition system in high accuracy is exploited in which there is adaptive and self-learning function. It can be used for important economic fields such as financial statement and bank paper.
Study of Fuzzy Random Reliability Model of Tailings Dam under Earthquake Action
Authors: Wang Fei Yue , Dong Long Jun , Xu Zhi Sheng
Published: December 2010

Two kinds of the deficiencies exist in the traditional dam reliability and the safety coefficient calculation methods. First, it is impossible to give accurate mean to design variable in case study, because to large extent, means are greatly influenced by many objective factors or man-made effects, which degree of effects has greater degree of ambiguity. Second, the traditional reliability theory takes zero point as measure of dam’s failure or not, and on both sides of zero point the structure of state mutants from security to failure. But in fact, it’s very hard to give a definite limitation to the dam state from security to failure, because a fuzzy scope exists between stability and failure. On the basis of solving the above two issues, this paper for the first time applies fuzzy reliability theory to the stability research of tailings dam under earthquake action , considering fuzziness of both the event of tailings dam failure and the main variables and parameter. Integrating fuzziness and randomness, this paper explores fuzzy random reliability analysis methods of tailings dam engineering. The results of case study show that the calculation results agree well with the actual situation, this analysis method is more scientific and reasonable than traditional dam safety factor calculation method, and better reflects the real situation. It also provides a new way to calculate stability of tailing dam considering earthquake action.
Forecast Model of Phreatic Surface on Tailings Dam Based on GM-GRNN Theory
Authors: Wang Fei Yue , Xu Zhi Sheng , Dong Long Jun
Published: December 2010

Due to the extremely complicated seepage boundary conditions of tailing dam, the calculation results adopting two-dimensional simplified theory may greatly different from the measured results. It is urgent need of an accurate calculation method to forecast phreatic surface. In-depth analysis of factors affecting tailings dam phreatic surface, phreatic surface prediction model based on GRNN and GM (1,1) was established. A tailing dam engineering is tested using this model. It shows that the model uses the advantages of "accumulative generation" of a Gray prediction method, which weakens the original sequence of random disturbance factors, and increases the regularity of data. It also makes full advantage of the GRNN approximation performance, which has a fast solving speed, describes the nonlinear relationship easily, and avoids the defects of Gray theory.
Physical Insight of the Source Data of a Two-Port Acoustic Source Model
Authors: Zhang Bin , Liu Xue Jun , Song Rui Xiang , Liu Bin , Feng Tao
Published: December 2010

The physical insight of the source data of two-port acoustic source model for a duct is studied in theoretical, experimental and numerical aspects respectively. Under the ideal acoustic boundary condition of full absorption at the duct ends, the state equation of two-port acoustic source model is discussed, and the physical insight of the source data is obtained through theoretical derivation. The experimental model of two-port acoustic source is established, and the source data have been measured by the method “with an external source”. The physical meaning of source data has been demonstrated through the experimental method. The numerical simulating model for the experiment system is built, and the source data obtained numerically are compared with those measured experimentally for research. From the comparison, it is concluded that the source data of two-port acoustic source model are the traveling wave propagating outside along the duct under the acoustic boundary condition of full absorption at duct ends.
Grey-Fuzzy Comprehensive Judgment of the Debt Risk of Highway Project
Authors: Chen Yun , Zhai Jin Bao
Published: December 2010

Considering the characteristics of fuzziness, gray and dynamic of the debt risks in highway project, build a method of grey fuzzy comprehensive evaluation. According to the characteristics of project on financing for development and operational, establish the corresponding debt risk subsets. It not only can evaluation the risk of different stages, also can comprehensive evaluation the risk of the whole project, so that the investors can according to the evaluation value of general risk and each stage to targeted for prevention and control.
Objective Evaluation of Seam Pucker Using Complex Wavelet and Fractal Dimension of Textural Image
Authors: Song Wan Qing , Zhang Jing
Published: December 2010

The 2-D dual-tree complex wavelet and fractal dimension of image texture is proposed to objective evaluation of seam pucker for the garment manufacturing. Because the complex 2-D dual-tree DWT also gives rise to wavelets in six distinct directions, extract feature of seam pucker is advantage over 2-D wavelet which only has four distinct directions. In terms of the theory of pattern recognition in an image process, Euclidean distance between seam pucker of sample clothes and standard template classified into five classes (AATCC method) on seam pucker is computed. Thus, automatic and objective class evaluation of seam pucker is realized, a practice example proves the method boosts the degree of accuracy of inspector than other methods.
The Micro-Interaction Lauguage in Web-Base Collabarative Learning
Authors: Ren Jian Feng , Liu Li Nan
Published: December 2010

In the research of CSCL (Computer Supported Collaborative Learning), interaction behavior analysis is an important part. In order to effectively analyze the learning interaction and find ways to promote collarative learning, it is necessary to establish a classified framework on micro-level for interaction behavior. This paper proposed the concept of micro-interaction firstly, then in view of text-based interaction is still the most important form of interaction, establishment of classification framework for the micro-interaction lauguage behavior. This article also describes the determination of the classification framework and development process, and finally discusses the value of its in CSCL system through an example．
Data Fusion for MFL Signal Characterization
Authors: Song Qiang
Published: December 2010

The objective of data fusion is to be able to draw inferences that may not be feasible with data from a single sensor alone. In this paper, data from three sets of sensors are fused to estimate the defect profile from magnetic flux leakage (MFL) inspection data. The three sensors measure the axial, radial and tangential components of the MFL field. Data is fused at the feature level. Examples of signal features are amplitude, width, etc. A radial basis function network (RBFN) is then employed to map the fused features appropriately to obtain the geometric profile of the defect. The feasibility of the approach is evaluated using the data obtained from the MFL inspection of oil pipes. The results obtained by fusing the axial, radial and tangential components appear to be better than those obtained using the axial and radial component alone.
Effects of Apparatus Parameters on MFL Signals Using Orthogonal Experimental Design
Authors: Song Qiang
Published: December 2010

Magnetic flux leakage (MFL) is a non-destructive testing method used to inspect ferrous materials. However, there are a variety of factors that can affect the MFL inspection tool’s ability to detect and characterize anomalies. An orthogonal experimental design (OED) method is applied to study the effects of apparatus parameters on MFL signals. Integration of OED method of analysis into a routine sample preparation technique could improve the repeatability and quantization capabilities of MFL tools. Three key apparatus parameters, namely permanent magnet (PM) height, magnetic concentrator (MC) length and backing iron (BI) length are chosen for the present study. The importance of each of these key parameters on MFL signals for different defects is determined by a series of experiments.
Surface Defect Detection Using Texture Features and RBFN
Authors: Song Qiang
Published: December 2010

This paper is concerned with the problem of automatic inspection of hot-rolled plate surface using machine vision. An intelligent surface defect detection paradigm based on texture analysis and neural network is presented. Texture features based on GLCM, Laws energy, and LBP are extracted from ROI in hot-rolled plate surface images. These features are integrated into a feature vector which uniquely differentiates the abnormal regions from normal surface. A radial basis function network is used for classification of ROI as normal or abnormal. Classification accuracies using the individual feature sets and the integrated features are compared. The results indicate that the integrated features improve the accuracy of detection. Empirical results show the integrated features from GLCM and LBP perform well in classifying the samples with the lowest classification error.
Inverse Classification Problem of Quantitative Attributes
Authors: Li Ai Guo , Zhou Xin , Zhang Jiu Long
Published: December 2010

In order to overcome the disadvantage of most inverse classification algorithms address discrete attributes and can not deal with quantitative attributes. The discretization algorithms are applied to the inverse classification algorithms, and the main idea is: firstly, a group of feature attributes are selected by using feature selection algorithm; then, the quantitative attributes are discretized by using discretization algorithms, and the inverted statistics are constructed on the training samples; finally, the test samples are analyzed. Experimental results on IRIS and Ecoli datasets show that this method could find the class label effectively and estimate the missing values accurately, and the results were not worse than ISGNN and kNN.
Development of Autonomous Bucket Wheel Reclaimer with Laser Vision
Authors: Chen Jin Bo , Yuan Zheng Peng , Gong Zhen Bang
Published: December 2010

An autonomous system of the bucket wheel reclaimer is developed to improve capability of the reclaimer in dark or bad whether. It obtains the 3D shape of the pile by the laser scanners mounted the reclaimer, and extracts the landing position through computer vision techniques. All the operations of the reclaimer can be controlled automatically in the remote control room. The system can control simultaneously six reclaimers. And it has been successfully implanted to the reclaimer in the stockyards of Majishan of Bao Steel Co. and show satisfactory result.
Research on the Control of Thermal System of a Spacecraft Based on Fuzzy Theory
Authors: Peng Zhao Qin , Zhu Lei , Huang Jiao Ying , Yuan Hai Wen
Published: December 2010

The thermal control is one of the key factors among spaceflight technology. The model of the thermal control system of a spacecraft was built and analyzed in this paper. Controller based on fuzzy theory was designed aims at the coupling effect existing between the two control objectives. The two control objectives were controlled coordinately with this fuzzy controller. The effectiveness was confirmed by simulation experiments.
Speed Prediction of ESPCP System Based on Neural Network
Authors: Luo Xuan , Wang Shi Jie , Lv Xiao Ren , Sun Hao
Published: December 2010

ESPCP is a new way of well lifting. The speed optimization is the main way to improve economic index of ESPCP system. By analyzing the main factors of speed of ESPCP system and using the technology of artificial neural networks, established an artificial neural network model for output speed about oil viscosity, pressure difference of the pump two ends, magnitude of interference between stator and rotor as the input variables. Through the use of additional momentum and adaptive learning rate method to predict the learning samples, the results can fit experimental data. The results of recalling and forecasting are accurate. It is shown that the model is of high precision and reliability. It also provides a new calculation for ESPCP system speed prediction and optimization.
Choquet Integral with Respect to High Order Extensional L- Measure
Authors: Liu Hsiang Chuan , Chen Wei Sung , Chen Chin Chun , Jheng Yu Du , Wu Der Bang
Published: December 2010

In this paper, a generalized multivalent fuzzy measure of extensional L-measure, called high order extensional L-measure, is proposed. It is proved that if the value of order index is equal to one, this new measure is just the extensional L-measure, and the larger the value of order index is, the more sensitive it is. A real data set with 5- fold cross-validation MSE is conducted, for comparing the performances of the Choquet integral regression model based on this new measure with other four measures, P-measure and λ-measure, and authors’ two measures, L-measure and extensional L-measure, and two traditional regression model, multiple regression model and ridge regression model, the result show that the Choquet integral regression model based on this new measure has the best performance.
The Effect of Zirconium Incorporation on the Brønsted Acidity of Zeolite: A DFT Study
Authors: Zhang Hai Lu , Zheng An Min , Deng Zong Wu
Published: December 2010

The incorporation of zirconium atoms into the framework of some aluminosilicate molecular sieves can enhance the reactivities of some typical strong Brønsted acid needed reactions, and the strengthening of Brønsted acidity were regarded as one possible reason. In this study, the effects of zirconium incorporation on the Brønsted acidity of zeolite with CHA structure were characterized by means of periodic density functional theory (PDFT) calculations. Results from deprotonation energy and NH3 adsorption energy are consistent and show that no significant acidity enhancement is found in comparison to Zr-free sample. The results indicate new catalytic mechanism should exist.