bluuebunny/crossref_metadata_2025 huggingface dataset:
Parametric Modeling of GTA Welding Process for Dissimilar Metals through Response Surface Methodology
Authors: Prabakaran M.P. , Kannan G.R.
Published: July 2014

The gas tungsten arc welding (GTAW) process is generally implemented for fusion welding of stainless steel, magnesium alloys, nickel base alloys, carbon steel and low alloy steels. This study deals with the parametric modeling of gas tungsten arc (GTA) welding process for two dissimilar metals specifically stainless steel and low carbon steel. There are several process parameters influences the quality of weld strength namely arc voltage, gas flow rate, torch distance, current and welding speed to be used. Among the various process parameters, the arc voltage, gas flow rate and torch distance were considered for this analysis with the response of tensile strength. Twenty experiments were performed as per response surface methodology (RSM) based central composite face centered design for GTAW process. Comparison studies were made for predicted and experimental values of tensile or weld strength by using analysis of variance (ANOVA). It was found that developed model statistically fit on 95% confidence level.
Parametric Optimization of Boron Carbide Powder Added Electrical Discharge Machining of Titanium Alloy
Authors: Kolli Murahari , Kumar Adepu
Published: July 2014

The present study deals with the Taguchi technique applied to determine the optimal process parameters of Boron Carbide (B4C) powder mixed electrical discharge machining (EDM) of Titanium alloy. The performance characteristics like material removal rate (MRR) and surface roughness (SR) were experimentally explored for various input parameters such as discharge current, pulse on time, pulse off time and B4C powder concentration in dielectric fluid. The planned optimal setting parameters were conducted and verified through experiments and analyzed using Taguchi technique. Analysis of variance (ANOVA) revealed that discharge current, pulse on time and B4C powder concentration in dielectric are most important parameters affecting both the performance parameters.
Preparation and Mechanical Characterization of Stir Cast Hybrid Al7075-Al2O3 -B4C Metal Matrix Composites
Authors: Dhanalakshmi S. , Mohanasundararaju N , Venkatakrishnan P.G.
Published: July 2014

A hybrid Al7075 metal matrix composites have been fabricated through liquid metallurgy route (Stir Casting method) using Al2O3 and B4C as reinforcement materials. The effect of weight percentage of reinforcement materials on mechanical properties of the composites have been studied by varying the weight percentage of Al2O3 as 3, 6, 9, 12 and 15% while keeping constant weight percentage of B4C (3%). The as-cast microstructure, tensile strength, micro and macro hardness of the fabricated hybrid composites have been studied. The mechanical properties of the prepared composites were increased with increasing the weight percentage of the reinforcement in the composite. The maximum tensile strength, micro-hardness and macro-hardness of 309 MPa, 140 VHN, and 112 BHN, respectively, were obtained for a hybrid Al7075 matrix composite containing 15% Al2O3 and 3% B4C.
Quantitative Analysis of Intermetallic Precipitates in High Mo Superaustenitic Stainless Steel
Authors: Anburaj J. , Nazirudeen S.S. Mohamed , Thillairajan K. , Chandrasekar A. , Narayanan R
Published: July 2014

Influence of ageing temperatures and ageing time intervals on the intermetallic phases of high Mo superaustenitic stainless steel (SASS) is studied. To form the intermetallic phases the alloy was aged for 1 hour and 10 hours at different temperatures in the range of 500-1000°C. Chi forms at temperatures up to 800°C. Sigma forms above 900 or 1000°C depending upon the ageing time. A property diagram is simulated using Thermo-calc software to corroborate the formation of chi and sigma phases as a function of ageing temperatures. EDS of sigma indicated its higher Mo content compared to the chi phase. Chi is enriched in chromium while sigma is enriched in Mo.
Small Punch Creep Testing Technique for Remnant Life Assessment
Authors: Ganesh Kumar J. , Laha K. , Mathew M.D.
Published: July 2014

Small punch creep (SPC) testing technique is a material non-intensive testing technique for evaluating creep behavior of materials using miniature specimens. It can be used for remnant life assessment (RLA) studies on components in service, by scooping out limited material for testing without impairing the strength of component. In order to ensure the reliability of use of SPC technique for RLA, it is necessary to establish sound database on SPC properties of the material before putting into service. In this investigation, SPC technique was used to evaluate creep properties of 316LN stainless steel using specimens of size 10 x 10 x 0.5 mm. SPC tests were conducted in load controlled mode at 923 K and at various loads. SPC curves clearly exhibited primary, secondary and tertiary creep stages. The minimum deflection rate increased and rupture life decreased with an increase in applied load. Like in conventional creep test results, the minimum deflection rate obeyed Norton’s power law and Monkman-Grant relationship. SPC test was correlated with corresponding conventional creep test. Good correlation was established between creep rupture life values evaluated from SPC tests and conventional creep tests.
Synthesis and Characterization of Al7075/SiC Composite by Stir Casting
Authors: Babu N. Vinoth , Moorthy T.V.
Published: July 2014

In recent years, stringent requirements of material quality in automotive and aerospace industries have necessitated the development of lightweight aluminum alloys. In this context, it is known that the metal–matrix composites offer a spectrum of advantages that are important for their selection and use as structural materials. A few such advantages include the combination of high strength, high elastic modulus, high toughness and impact resistance, low sensitivity-to changes in temperature or thermal shock, high surface durability, low sensitivity to surface flaws, high electrical and thermal conductivity, minimum exposure to the potential problem of moisture absorption resulting in environmental degradation, and improved fabricability with conventional metal working equipment Metal matrix composites (MMC) are generally produced either by liquid metallurgy or powder metallurgy techniques. Stir casting is one of the most inexpensive tools for the production of particulate metal matrix composites . It is simplest and most commercially used technique for casting MMCs. This involves incorporation of ceramic particulate into liquid aluminum alloy in molten state and allowing the mixture to solidify. Here, the crucial thing is to create good wetability between the particulate reinforcement and the liquid aluminum alloy. In this proposed work , composites of Al7075 with SiC were fabricated using Stir casting method by using both upward and downward pouring methodology .The main objective of this research work are to achieve uniform distribution of SiC particles in the aluminum alloy matrix , characterization and analysis of mechanical properties of composites formed . Experiments were carried out with different stirring speeds and specimen of different %wt of SiC were cast . Microstructure , Tensile strength and hardness values were found by conducting the corresponding tests and results were analyzed and compared . Keywords - MMCs , Stir casting , Wire cut EDM , SiC reinforced metal matrix composites
Thermal Analysis of Ceramic Coated Aluminium Piston with Slots
Authors: Chitthaarth M.R. , Manivannan K.
Published: July 2014

The main aim is to control thermal expansion in aluminium piston at high working condition. A plasma sprayed ceramic coating (TBC) is applied on the piston crown as a top coat and NiCrAl is applied as the middle layer as bond coat to improve the addition strength between the top coat and the metal subtract layer as AlSi alloy; we introduce a thermal slot on the piston shrink to regulate the heat flow in piston and make it cooler. We analyse the piston with these two implementations to determine the thermal analysis of the piston. The results can be shown in the various comparisons of coating thickness of top coat with thermal slots on the piston shrink. Increase in coating thickness reduces the stress in the coatings. It is observed that 85°C increase in 0.8mm coat than the ordinary piston.
A Study on the Effective Die Design in Sheet Metal Forming to Improve the Productivity
Authors: Kumar C.N. Ashok
Published: July 2014

Productivity is one of the major factors that affect the profit of any industry or any product. In manufacturing industries, the productivity is showing the efficiency of the production unit. It depends on many factors such as technology, machine, method, management etc. In this study, method of manufacturing is considered and analyzed how it affects the productivity. Productivity is normally expressed as the number of units produced / unit time. Sheet metal forming is one of the major manufacturing processes and used for most of the products. The proper design of die is important in sheet metal forming processes. This article discusses how the Combination Die can improve the productivity. For this study, a product “U Clamp” is considered. The Product requires piercing, bending and parting off operations. The Combination Die is designed and fabricated for the product and tested. Data on operation time, material handling time are collected, analyzed and discussed.
Chip Morphology Investigation among Dry, Wet and Gas Cooled Machining of Super Duplex Stainless Steel
Authors: Kumar K. Senthil , Senthilkumaar J.S. , Thirumalai Ramanathan
Published: July 2014

In this paper, a detailed comparison between dry, wet and gas-cooled turning has been presented based on experimental study. Machining of super duplex stainless steel is considered. Cutting tool considered in this paper is uncoated carbide tool. It was observed that gas cooled machining provides a better machining performance while compared with the dry and the wet machining. Gas cooled machining is particularly needed in case of high speed machining and hard turning. In this study we investigated the chip morphology for various condition of machining and concludes that gas cooled machining is suitable for machining at higher production rate..
Electrical and Magnetoelectric Properties of (Y)Li0.5Ni0.7Zn0.05Fe2O4 + (1-Y)Ba0.5Sr0.5TiO3 Magnetoelectric Composites
Authors: Durgadsimi S.U. , Chougule S.S. , Bellad S.S.
Published: July 2014

(y) Li0.5Ni0.7Zn0.05Fe2O4 + (1-y) Ba0.5Sr0.5TiO3 magnetoelectric composites with y = 0.1, 0.3 and 0.5 were prepared by a conventional standard double sintering ceramic technique. X-ray diffraction analysis confirmed the phase formation of ferrite, ferroelectric and their composites. logρdc Vs 1/T graphs reveal that the dc resistivity decreases with increasing temperature exhibiting semiconductor behavior. The plots of logσac Vs logω2 are almost linear indicating that the conductivity increases with increase in frequency i.e. conductivity in the composites is due to small poloron hopping. Dielectric constant (έ) and dielectric loss (tan δ) were studied as a function of frequency in the range 100Hz–1MHz which reveal the normal dielectric behavior except the composite with y = 0.1and as a function of temperature at four fixed frequencies (i.e. 100Hz, 1KHz, 10KHz, 100KHz). ME voltage coefficient decreases with increase in ferrite content and was observed to be maximum of about 7.495 mV/cmOe for S1 i.e. (0.1) Li0.5Ni0.7Zn0.05Fe2O4 + (0.9) Ba0.5Sr0.5TiO3 composite.
Raman Spectroscopy Studies on DLC Films Synthesized by PECVD Method
Authors: Jatti Vijaykumar S. , Laad Meena , Singh T.P.
Published: July 2014

Diamond like carbon (DLC) is a metastable form of amorphous carbon containing fraction of sp2 and sp3 bonds. Their mechanical properties depend on the sp3 content as well as on the number and size of graphitic nanoclusters. It is noted that properties change significantly depending on the method of preparation of these films. These properties are also altered by the composition of the films. In view of this, the objective of present work was to deposit hydrogenated DLC films on p-type silicon substrate using inductively coupled plasma enhanced chemical vapor deposition (IC-PECVD) technique with varying bias voltage, bias frequency, gas deposition pressure and gas composition ratio. They play important role in film deposition process and are responsible for change in mechanical properties of the film such as hardness and Young's modulus. Raman spectroscopy was used to study the structural arrangement of carbon atoms. Significant change in the mechanical properties of the film was observed which can be attributed to the change in sp3 and sp2 contents in the DLC film. It was observed that the process parameters considerably affect the hardness and Young's modulus of the DLC films. The films of desired mechanical properties can be deposited for various industrial and biomedical applications by maintaining suitable deposition conditions.
Transportation Performance of Highly Concentrated Coal-Water Slurries Prepared from Indian Coals
Authors: Chakravarthy Arunanshu , Kumar Satish , Mohapatra S.K.
Published: July 2014

The rheological behaviour of concentrated coal-water slurries prepared from three different Indian coals were investigated using an Anton Paar rheometer. The perspective was laid in to study the effect of solids concentration on the rheological behaviour of coal water slurry. It was observed that coal water slurry exhibited non-Newtonian pseudoplastic fluid behaviour at concentrations above 30 % by weight. The apparent viscosity varied with the amount of coal in the slurry. The rheological data were utilized to predict the pressure drop characteristics of coal water slurry flowing through a 53 mm diameter slurry pipeline using ANSYS Fluent 14.0 computational fluid dynamics code.
Investigation of Machining Parameters in CNC Turning of EN3 Low Carbon Steel Using Genetic Algorithm and Response Surface Methodology
Authors: Kumar R. Rave , Hafeez M. Mohamed Abdul , Velmanirajan K. , Kumar K. Nantha
Published: July 2014

Burrs are bottleneck of precision machining and automation production. Burrs are formed in every edges and faces, during the turning process, which affects the quality level of surface roughness. In this paper the experimental study of EN3 low carbon steel were carried out to minimize the surface roughness using response surface methodology and genetic algorithm. Tungsten Carbide was used as a cutting tool for this turning operation. Machined samples are examined under Scanning Electron Microscope (SEM) for burr formation. A wide variety of analysis between cutting parameters have been shown graphically. The minimization of burr was achieved and hence better surface quality was obtained by optimizing the cutting parameters like cutting speed, feed, and depth of cut, with the aid of Genetic Algorithm (GA) & Response Surface Methodology (RSM) Techniques.
Extraction of Process Parameters from a Sheet Metal Part Model
Authors: Sreenu Pothala , Gupta Ravi Kumar
Published: July 2014

Process planning in a computer integrated manufacturing (CIM) requires integrated system for design and manufacturing activities. For sheet metal part, feature recognition and feature reasoning of a product model for process planning is an essential component of CIM environment. Research work for feature recognition and reasoning has been addressed in literature, which is limited to the geometric and topological information but actual process parameters requited for manufacturing operation is still an open issue. Our research is for extraction of process parameters from a sheet metal part model which is in STEP Format. These process parameters can be used in sheet metal manufacturing to control the operations. This paper presents extraction of process parameters for a sheet metal feature from a sheet metal part model (STEP Format). This work then formulates the feature processes in terms of extracted process parameters, material properties, sheet metal dimension and feature dimension. The actual operation in real manufacturing environment is identified as extension of the proposed work. The extraction of process parameters for sheet metal operation is demonstrated with case studies.
Effect of Nano and Micro Graphite Particle on Tribological Performance of Aluminium Metal Matrix Composites
Authors: Rajkumar K. , Santosh S.
Published: July 2014

Al-graphite and Al-Nanographite particulate metal matrix composites were prepared by two step stir casting method. The reinforced particulates in the metal matrix composites varied from 5% to 10% by volume fraction. Tribological performances of these composites were evaluated based on graphite particle size and normal load using a pin-on-disc tribometer. Al-Nanographite composites show higher load withstanding capacity and low coefficient of friction compared to aluminium graphite composites by the way of forming a thick graphite layer at the contact surface.
Comparative Investigation on Mechanical Properties of Natural Fiber Reinforced Polyester Composites
Authors: Muthukumar V. , Venkatasamy R. , Mariselvam V. , Sureshbabu A. , Senthilkumar N. , Fernando A. Antony George
Published: July 2014

The aim of present experimental investigation is to compare the mechanical properties of Sisal, jute and kenaf fiber reinforced with glass fiber in polyester matrix hybrid composites. Hybrid composites were fabricated by hand lay-up technique. The tensile, flexural and impact tests were carried out on different composite samples as per the ASTM standards. It was observed that the tensile strength of jute/glass fiber composite is 1.94 and 1.59 times more than that of sisal/glass and kenaf/glass composites, respectively. The flexural load carrying capacity of sisal/glass composite is 3.4 and 2.83 times greater than those of jute/glass and kenaf/glass composites, respectively. Also, it can be seen that impact strength of jute/glass composite is almost equal to that of kenaf/glass composite and 1.13 times more than that of sisal/glass composite.
Numerical Study on Effect of Volume Fraction of Nanoparticles on Rayleigh-Bernard Convection in Different Enclosures
Authors: Kumar S. Senthil , Karthikeyan S.
Published: July 2014

Numerical investigations of Rayleigh-Bernard convection in enclosures of different modified bottom and top surfaces filled with Au-Water Nanofluid with different volume fractions are presented. This paper describes a numerical predication of heat transfer and fluid flow characteristics inside enclosures bounded by modified bottom and top surfaces and two periodic straight vertical walls. Simulations are carried out for a Rayleigh number of 6×104 and two aspect ratios (0.25 & 0.5) with working fluid as Au-Water Nanofluid and The same analyses are performed with the Nanofluid having Au nanoparticles of same size and different volume fraction of φ = 5%, 10%, 15% and 20 % in order to see the effect of Nanofluid volume fraction on heat transfer. The Boussinesq approximation is used in order to take density change effect in the governing equations. The study investigates the effect of the nanoparticles volume fraction, and the aspect ratio on the heat transfer. The results are presented in terms of isotherms, streamlines local and average surface Nusselt numbers. Results show that the flow and isotherms are affected by the geometry shape and by the presence of nanoparticles with different volume fractions. It is also shown that for a fixed value of aspect ratio, the convective heat transfer is decreased for the increase in volume fraction of Nanofluid.
Densification of Mechanically Alloyed Al5083-5wt% Y2O3 Nano Composite by Equal Channel Angular Pressing
Authors: Polly Pravir , Chandra Sekhar K. , Ravisankar Balasubramanian , Kumaran S.
Published: July 2014

In the present work, Al-5083-5wt% nanoyttria powders were milled for 10, 20, 30 and 35 hrs in a high energy ball milling under optimised process parameters. The milled powders were characterised by X-ray diffraction (XRD) and scanning electron microscopy (SEM). Milled powders exhibit nanocrystalline single phase after 10hrs of milling. Consolidation of 35 hrs milled powder was done by equal channel angular pressing (ECAP) through 90o die channel angle using route A upto three passes with and without back pressure and sintered under controlled environment. Density of ECAPed samples was measured using Archimedes principle. The density is 96% for the sample consolidated with backpressure after two passes after sintering.
Comparison of Machining Responses Using Multiple Regression Analysis and Group Method Data Handling Technique of EN-19 Material in WEDM
Authors: Ugrasen G. , Ravindra H.V. , Prakash G.V. Naveen , Keshavamurthy R.
Published: July 2014

Wire Electrical Discharge Machining (WEDM) is a specialized thermal machining process capable of accurately machining parts with varying hardness or complex shapes, which have sharp edges that are very difficult to be machined by the main stream machining processes. This study outlines the development of model and its application to estimation and comparison of machining responses using Multiple Regression Analysis (MRA) and Group Method Data Handling Technique (GMDH). Experimentation was performed as per Taguchi’s L’16 orthogonal array for EN-19 material. Each experiment has been performed under different cutting conditions of pulse-on, pulse-off, current and bed speed. Among different process parameters voltage and flush rate were kept constant. Molybdenum wire having diameter of 0.18 mm was used as an electrode. Four responses namely accuracy, surface roughness, volumetric material removal rate and electrode wear have been considered for each experiment. Estimation and comparison of responses was carried out using MRA and GMDH.
An Experimental Determination of Johnson Cook Material and Failure Model Constants for Armour Steel
Authors: Banerjee Arkadeb , Dhar Sankar , Acharyya Sanjib , Datta Debasis , Nayak Nityananda
Published: July 2014

An experimental programme for determination of the Johnson Cook material and failure model constants for a typical armour steel material is reported. Tensile tests on specimens made from the armour material have been conducted at quasi-static and dynamic strain rates and at ambient and elevated temperatures. The analysis of the experimental data generates the model constants that are required as inputs during numerical simulation of dynamic events like armour impact using Johnson Cook constitutive relation and failure model implemented in most of the commercially available Finite Element codes.
Research on Real-Time Monitoring of Coal Mine Trackless Rubber Tyre Electric Vehicle
Authors: Zhang Chuan Wei , Wang Ming Yu
Published: July 2014

The monitoring information of the coal mine trackless rubber tyre electric vehicle is analyzed and researched. The hardware and software of real-time data monitoring system electric vehicle is designed based on the TMS320F2812 DSP chip and LCD module MS12864. The coal mine trackless rubber tyre electric vehicle real-time data monitoring is achieved.
Development of a TriaxialMicro EDM Machine Tool Based on Programmable Multi-Axes Controller (PMAC)
Authors: Peng Zi Long , Fang Dong , Li Yi Nan , Liu Yong Hong
Published: July 2014

Based on the research of key technologies for achieving micro EDM process, a triaxialmicro EDM machine tool based on PMAC has been developed. The micro EDM machining tool consists of four parts: triaxial precision motion platform, motion control system, micro-energy pulse generator and CCD microscope imaging system. The hardware and software control system based on industrial control computer and PMAC has been researched. The motion control program and PLC program have been developed for precise controlling the triaxial precision motion platform. The indispensable functions for micro EDM process such as contact perception function for measurement; fast servo control strategy for short circuit and so on has been achieved. Through a number of processing tests, it is proved that the triaxial micro EDM machine tool has the ability for machining micro holes, micro slots and micro structures steadily.
Micro Lesson in Microera under the Background of Video Resources
Authors: Zhang Lei , Wang Xing Hui
Published: July 2014

This article introduces the micro era, the concept of micro class and the origin firstly, and elaborates the characteristics of micro lessons through two aspects of the humanities and technology. According to the existing problems, and the application in Chinese language lessons of elementary student, conclude the general methods to solve the problem.In the end micro teaching suggestions are given.
Research and Implementation of Curriculum-Oriented Knowledge Learning Platform
Authors: Xue Ji Wei , Xu Shao Hua , Yu Yuan Yuan
Published: July 2014

In the face of vast and decentralized knowledge resources in the information society, it is not easy for learners to capture the knowledge which they really need timely and accurately. An efficient and practical educational knowledge-learning platform was built, by employing knowledge engineering methods to achieve the functions of dynamic expansion of knowledge resources, assisted learning and etc. It has a great theoretical value and application prospects by making effective integration of educational knowledge organization, management and services, transforming the traditional passive learning mode into self-study, making full use of modern information technology tools, developing educational knowledge resources and optimizing the educational process.
Research of Neuroergonomics Experimental Teaching System in Industrial Engineering
Authors: Wu Jun , Han Wen Min
Published: July 2014

As human factors teaching in industrial engineering steering to neuroergonomics as the core, neuron ergonomics experiment in new generation of industrial engineering experimental teaching occupies important position. Neuroergonomics experiments directly observe the human brain cognitive activities by means of equipments for measuring the electromagnetic activity and the brain blood flow dynamics in the brain. Based on the present experimental research situation, neuron ergonomics experimental teaching system platform was set up, which involves EEG & ERP experiment system, physiological experiment system, eye movement experiment system. The experimental teaching system includes validation experiments, designing experiments, comprehensive experiments and research experiments for different levels students. The experimental teaching system implements the system of industrial engineering laboratory construction update and perfect.
Analysis of the Way to Enhance the Professional Core Competence of Engineering Students of New University
Authors: Zhao Xue Qin
Published: July 2014

By analyzing the characteristics of the new university of engineering students’ professional core competencies, students generally attach great importance to the personal and professional skills, they want to improve personal and professional core competencies, but lacking of a clear understanding and effective way to improve interpersonal skill and learning ability; they pay attention to enhance practical ability, but lacking of the development and innovation, so they hope to improve the ability based on the practice. According to the above features, this article presents the way to improve the professional core competencies.
Using Verification Planner to Track the Verification Process
Authors: Huang Xu , Jun Deng , Liu Lin Tao , Liu Lun Cai
Published: July 2014

This paper will discuss how we integrated Verification Planner in our verification environment to generate better reports that can be used to track the progress of verification with the project manager. Using Verification Planner we were able to add coverage information to the Verification IP’s Excel based verification plans. We can then take advantage of Excel to generate better reports. Using a top-level plan, we were able to generate a summary page that could be shared with project manager, giving them the information they needed.
Forecasting Consumer Confidence Index Based on Radial Basis Function Neural Network
Authors: Xie Hai Yan , Chen Guo Yan , He Zhen , Zhao De Peng
Published: July 2014

Consumer confidence index (CCI) is a basic economic parameter of country economic development changes and is observed in the point of view of consumers. To predict the CCI for the next few months, Radial basis function (RBF) neural network is introduced. Compared with the BP network, the simulation results obtained by RBF make more accurate precisions with better fitting effects. From the results of our prediction, the analysis for the tendency of CCI in the future is also obtained.
Targets Detection Based on Multifractal Method
Authors: Liu Fang
Published: July 2014

Mean sea clutter scattering coefficient model can reflect the relationship between the scattering coefficient of sea clutter and radar parameters and environmental factors, commonly used at sea clutter radar range forecasts. Sea clutter amplitude distribution model is essentially in the form of a probability density function to describe the magnitude of the statistical properties of sea clutter. In this paper, based on the sea surface target detection process uncertain information based on multiple objective study of fractal theory, simulation results show that our detection methods to get good results, you can improve the reliability and intelligence of detection.
Optimization of Multitask in Real-Time Control Based on Artificial Bee Colony Algorithm
Authors: Chen Shao Meng , Xu Yue Tong , Hu Qiu Xu , Wang Zheng Tuo
Published: July 2014

Real-time industrial control software often has the characteristic of multitask communication within single thread, which can easily cause the thread to block. The problem can be abstracted into nonlinear constrained optimization model based on requirements of developing the industrial control software, and solved by artificial bee colony algorithm. The ABC algorithm needs less parameters, and has stronger capability of global search than other intelligent algorithms. Considering characteristics of the nonlinear constrained optimization model, three modifications are adopted to improve the capability of global search in this problem. They are a modification rate for generating a new solution, the probability of selecting a new solution by onlooker bees which is different between feasible solutions and infeasible solutions, Deb’s constrainted handling method. A comparing result shows that the modified ABC algorithm provides a better solution than GA algorithm does. By putting the solution into practice, high-speed and reliable communication can be realized between IPC, PLC and NC.
E-Bayes Estimation of Burr Distribution Parameter under Square Loss Function
Authors: Liu Huan Bin , Yin Tong , Wang Cheng
Published: July 2014

This paper provides the E-Bayes estimation and hierarchical Bayes estimation of Burr distribution parameter under square loss function when the prior distribution is Gamma distribution, and proves that the E-Bayes estimation and hierarchical Bayes estimation are progressively equal. Numerical simulation also shows that the results of these two types of estimation are close, and E-Bayes estimation is more convenient in terms of calculation complexity.
2D(PC)2A Based Dimensionality Reduction of Textural Feature for Face Recognition with a Single Training Sample
Authors: Sun Wen He
Published: July 2014

Face recognition system works badly in practical applications because only single training sample image per person is stored in the system owing to hard collecting training samples. We present a novel face recognition scheme with single training sample using 2D Gabor filter and 2D(PC)2A under varying light conditions. Firstly, 2D texture feature extract with Gabor filter captures the properties of spatial localization, orientation selectivity, and spatial frequency selectivity to cope with the variations in illumination. Secondly, 2D(PC)2A is to extract statistical texture features under one training sample. Finally matrix-based similarity nearest neighbor classifier is used to classify a new face for recognition. Some experiments are implemented to testify the feasibility of the proposed scheme.
Research on the Transmission Characteristics of FitzHugh-Nagumo Neuron
Authors: Wang Guan Ping , Yang Wan Xia , Yang Sen
Published: July 2014

The transmission characteristics of a FitzHugh-Nagumo (FHN) model neuron influenced by Gaussian white noise is studied in this work. With a sinusoidal stimulus as input, based on the time-domain analysis to the output , it is found that there are SR phenomenon, and the signal transmission is mainly depends on the noise intensity, the frequency and the amplitude of the external excitation signals. The analysis show that when the input frequency lies in 0.2Hz~0.5Hz and the amplitudeAis around 0.4, suitable noise intensity is conducive to the optimal neuronal signal transmission.
A Recognition Method of License Plate Number Based on BP Neural Network
Authors: Liu Bing Xiang , Huang Yan Hua , Wu Xu Dong , Li Ying Xi
Published: July 2014

According to the current technological deficiency of license plate recognition, this paper uses digital graphic processing technique and BP Neural Network algorithm fusion to achieve automatic recognition of license plate. Input the image settled in the previous period in the trained BP neural network to obtain the final license plate character through simulation. The validity and feasibility of the algorithm can be verified through the simulation experiment of standard license plate image.
Continuous Blood Pressure Measurement Method Based on the Pulse Image Sensor and BP Neural Network
Authors: Zhang Ai Hua , Zhou Xing Zhong , Yang Li Ming , Shen Rong , Wei Zhe
Published: July 2014

A continuous pressure measurement method is proposed based the pulse image sensor and BP neural network for continuous measurement of arterial blood pressure. The multi-information synchronous acquisition system is built to collect pulse image sequences, sphygmopalpation pressure, probe internal pressure, and blood pressure of subjects. The feature vector is formed from pulse image sequences, sphygmopalpation pressure, and probe internal pressure to predict continuous blood pressure by BP neural network. The results show that the mean difference (MD) and standard deviation (SD) of systolic blood pressure (SBP) and diastolic blood pressure (DBP) meet the standard of Association for the Advancement of Medical Instrumentation (AAMI). The method could be used to predict continuous blood pressure and provides a new method for arterial continuous blood pressure measurement.
The Detection of Concealed Targets Based on NQR of Nitrogen-14
Authors: Huang Xue Yi , Xu Geng Guang , Hao Feng Long
Published: July 2014

Nuclear quadrupole resonance (NQR) is an advanced radio frequency (RF) spectroscopic technique, widely used to analyse substances containing quadrupole nuclei, such as2H,14N,17O,35Cl and39K. In this paper, we focus on the NQR detection of nitrogenous compounds including nucleus Nitrogen-14 or14N. We will briefly introduce its fundamental principles, namely, nuclear quadrupole moment and NQR detection mechanism, and then provide some experimental results based on these theories, such as sodium nitrite, methenamine, urea and thiourea. At last, according to these results, we will make some discussion about the properties of NQR detection.
Review of MEMS Techniques and Applications in Aerodynamics Research
Authors: Fan Li Tao
Published: July 2014

MEMS sensors have some attractive advantages, such as low cost, small size, which help them to be widely used in wind tunnel tests. This paper presents the basic principles and sensor types of MEMS measurement and concludes the MEMS technology for wind tunnel test applications. Future research focus is also expressed.
Analysis and Design of a Capacitive Sensor for Measuring Thickness
Authors: Lei Jian Hua
Published: July 2014

Parallel plate capacitance sensors have the advantage of low cost, fast dynamic response, and high resolution. However, edge effect severely limits their sensing accuracy. This paper designs a kind of parallel plate capacitance cylinder sensor with a metal protective ring which can significantly eliminate edge effect. Besides, simulation is shown using Ansys, a finite element software. The results indicate that, the curved field has turned into a vertical electric field because of the existence of the protective ring, and the edge effect has been eliminated.
Research on Spacecraft Attitude Control Simulation Technology Based on Multidisciplinary Integration
Authors: Zhang Ya Bin , Wei Chuan Feng , Li Xing Qian , Shi Xiao Lin
Published: July 2014

The design of spacecraft attitude control is important during the manufacture of spacecraft, and it is need to be validated adequately. To get the digital simulation validation of attitude control system, this paper discussed the spacecraft attitude control simulation system based on STK, Matlab and ADAMS. Based on the simulation frame, the paper analyzed the simulation model inter-clock. and realized the simulation system clock synchronization mechanism and algorithm. Based on the method of clock synchronization, the clock synchronization and logic correctness of message among multi-disciplinary simulation models could be ensured.
The Facilities Vegetables Warning and Control System Based on Mobile Phone SMS
Authors: Yan Li , Hao De Jiang , Zhang Hao
Published: July 2014

The production of facilities vegetable significantly affected by environmental factors, therefore require real-time monitoring information of light, air temperature and humidity, soil temperature and humidity, and timely early warning and controlling, to prevent irreparable damage. This study achieved real-time monitoring and timely warning of environmental factors, and optimal control of pumps and roller blinds in the Facility vegetable. We have adopted Internet of Things technology and short message function in Mobile phone, the system through C # language and the SQL Server database to prepare. The application in Jilin Province Jinta Industrial (Group) Co.Ltd. shows that the system is better, achieved the purpose of high yield income. This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.
Unbalanced Power Allocation Method to the Research of the Influence of the Power System Trend
Authors: Wang Hao , Wang Ning , Xue Dong Hai
Published: July 2014

After the disturbance of the power system, all generators of the system will react the disturb and adjust the output. All unbalanced power in the traditional method of trend fully will be assumed by the balancing bus, obviously do not conform to the actual operation situation. Dynamic power flow calculation can effectively deal with this problem, the current calculation method of the unbalanced power distribution exist two kinds of thinking:based on moment of inertia of the generator and based on the frequency characteristic coefficient of the generator . Here, this paper state the two methods of distribution , through analysis and comparison ,use case simulation verify the influence of the different methods of distribution on the system steady trend.
Apply the Damaged Road Data for Driving Simulator
Authors: Yiming A Li Mu Jiang , Maimaiti Re Zi Wan
Published: July 2014

This paper presented a method of building the view image for Driving Simulator based on various road profiles and crack information by considering the damage road such as roughness road and crack. The main property of this method is that we can obtain the data profile only from several photographs of the road. Therefore, it is flexible and efficient.
The Semi-Automatic Restoration of Regular Paper Fragments
Authors: Ding Zhong Qiu
Published: July 2014

The restoration of regular paper fragments can be solved by edge matching. Edge matching is based primarily on the length and location of the break in writing, however, it is possible that the edges of some regular paper fragments are blank. And so the error of restoration is the inevitable. In this case, it needs manual intervention based on the article content and then eliminate errors. Prior to the establishment of a mathematical model, there is a need for binarization of regular paper fragments with Matlab, then establish vector space model and construct edge contrast matrix, get the order after the Q cluster analysis of fragments. Finally the original picturecan be obtained through splicing and restoring in the order.
The Network Security System Research Based on Intrusion Detection
Authors: Qian Jie , Wang Yan Ping , Li Han Xi
Published: July 2014

With the rapid development of Internet and the network information resources can be Shared height, information system security face severe challenges. Firstly, this article from the current status of the network security, combined the new changes of the network security situation, getting the conclusion that the use of the necessity of intrusion detection system. And then it made a comprehensive overview on network security model put forward that was to achieve the purpose of security, which need to establish a reasonable network security model. By introducing the common types of network intrusion and network security technology, it lead to an intrusion detection system, and the concept of intrusion detection system, system structure and detection methods in detail in this paper.
SQL Server Access Methods Based on LabVIEW
Authors: Zhu Zu Wei , Chen Jue Xiao , Sun Ze Chang
Published: July 2014

Several methods that contribute to connecting SQL server database with LabVIEW are listed and compared in the paper, while the method of using LabSQL is exemplified to show its convenience and reliability. Two steps are required to achieve the connectivity between database and LabVIEW via LabSQL: First is setting up an underlying connection between database and LabVIEW through ODBC. Second is using SQL statements to realize specific database operations such as query, insert, delete etc.
Applying Modeling Technique Optimize Business for E-Government Based on Big Data
Authors: Luo Wen Jie , Yuan Fang , Tian Xue Dong
Published: July 2014

How to apply big data technique in the innovation of government administration is one of hot issues of e-government. The paper discusses one method that applying visualization modeling technique, builds business model including organization model, resource model and process model. According to the connection rules in or among models, the paper also advances the methods to check integrity of models and simulate the business process for insuring the correctness, and to resolve the problem of normalization and accuracy. Then by extracting and integrating information resources from the business model, obtain unified business frameworks, and according to the efficiency factors that corresponding organization, resource, behavior, collaborative and product performance, collect big data and provide a quantitative analysis for the optimization of government business to guide the government business optimization strategy.
Advances in Online Authority Research
Authors: Wu Bing , Zhang Chen Yan
Published: July 2014

As previous research has established that communication and public relations play a crucial role, to understand the resources needed for effective online intervention has been proven particularly helpful to locate in time the central issue. Science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science are gleaned, concerning advances in online authority research. The result indicates that the main research territory is England, accounting for 30%, then followed by USA and Spain of 20% respectively. The number of publication literature on this topic mainly distributes in recent 5 years, reaching climax of 4 in 2011. And from the analysis of research area, research on communication accounts for 40%, then followed by computer science of 30%. Overall, the related research topics can be classified in four areas: evaluation of the online authority, cognitive search models, authority in online community and online authority communication. Finally, new opportunities for future research are discussed.
Determination of Cutting Disc Deformation Using Axial Forces Produced during the Cutting Process
Authors: Akarslan Emre , Hocaoğlu Fatih Onur , Ucun Ismail
Published: July 2014

The reliability of the cutting disc in a sawing process is of vital importance in industry. There exist a lot of reported accidents due to damaged disc usage. In most cases the damage on the disc is not visible. Therefore innovative techniques are required to determine the damages. For this aim an experimental setup is built in Afyon Kocatepe University. Different experiments are performed. While experiments different parameters are measured and calculated. In this paper axial forces produced while the cutting processes are studied. Each experiment is represented by a vector of three dimensional axial forces (Fx, Fy, Fz). Experiments are repeated using four different class of cutting disc (solid, less damaged, much damaged and broken). An Adaptive Neuro Fuzzy Inference System (ANFIS) structure is proposed to classify the deformations that occur on a cutting disc in sawing processes. The results indicate that proposed ANFIS structure is very effective on classification.
Optimization of Cutting Parameters of CNC Milling for Aircraft Components Using Design of Experiments
Authors: Nithyanandam Ganesh Kumar , Senthamizh Selvamaan , Selvaraj P. , Radhakrishnan Pezhinkattil
Published: July 2014

Machining the components precisely and accurately on consistent basis is a huge challenge in the aerospace industry. Nowadays, manufacturer's demand to machine the components to tighter tolerances. In this paper, a case study of machining aircraft rib components in CNC milling was selected and tighter tolerances were defined. For this, two factors: cutting speed and feed rate was considered with five levels. Thus, 25 different combination of experiments were conducted for design of experiments. Several different statistical tools such as normality test, DOE and ANOVA were used. The study outcome found that feed rate has more significant effect over the machining of aircraft rib components than cutting speed; and there is no significant effect found when interaction of both cutting speed and feed rate were defined. The hypothesis test was performed to determine the optimum cutting parameters for the given condition using full factorial ANOVA test.
A Method of Fabricating T Shape Nanochannel on Silicon Substrate
Authors: Lin Zone Ching , Jheng Hao Yuan , Ding Hao Yang
Published: July 2014

The paper innovatively proposes using atomic force microscopy (AFM) and the concept of specific down force energy (SDFE) to establish a method for fabricating T shape nanochannel grooves on silicon (Si) substrate. Using the single-pass multi-layer cutting method of nanochannel groove using AFM proposed by the paper, a nanochannel looked like T shape is fabricated. For fabricating T shape nanochannel, it is set that cutting is firstly carried out for one pass on each cutting layer at a fixed down force. Then the probe carries out cutting for repeated passes. Using this cutting way by AFM and SDFE theory, the cutting depth and width of each pass can be predicted. The results of simulation and experiment of fabricating method for T shape nanochannel is further compared.