Key Engineering Materials Vols. 474-476

Abstract: In this paper, the lattice Boltzmann Method is applied to simulate incompressible steady flow around a cylinder. The simulation model is based on D2Q9 lattice model and Guo boundary condition. Different Reynolds number and cylinder position in the flow field is considered to acquire corresponding velocity, vorticity, pressure and kinetic energy. The conclusions demonstrated in this paper could be useful for the project like construction of ocean platform, cooling tower or high chimney and so on.

Abstract: An on-line thermocouple auto-calibration system using wireless communication module for ceramic kilns has been developed. It is consist of the temperature measurement module for the ceramic kilns, Wireless transmitting and receiving module, data processing and results display module of the PC. For the requirement of thermocouple calibration for ceramic kilns, the wireless data transmission module is used to transmit temperature data in the system. Finally, the data is transmitted to PC through serial interface, it is processed and the calibration results are derived by PC. Its performance fully met calibration requirements. The calibration efficiency of the system is greatly enhanced and the additional man-made errors are reduced. The proposed system ran well in practice.

Abstract: The Pro/E software was used to generate 3-D model of pneumatic hammer housing casting. The solidification process of the casting was simulated by the numerical simulation software, View Cast. The location and scale of the shrinkage defects were shown in the results. The risers were designed by the View Cast software based on the simulation results. The reasonable risers were obtained after the optimization on the numerical simulation. And the parameters of gating system were got according to the simulation results calculated by the gating system designing function of View Cast. Then the solidification results demonstrated that the risers and pouring system could be planned by View Cast effectually. The reasonable casting process was obtained and the process has been proofed by the productive practice.

Abstract: Adaptive neuro-fuzzy inference system[1] is an advanced algorithm to estimate important parameters based on limited available information. We conducted a specific analysis about this algorithm to validate our viewpoint compared with Weibull distribution[2], and rear-axle bumper was used for our experiment. The experimental results indicate that ANFIS can be more precise than Weibull distribution and more close to the real circumstances. According to the root mean square root that decreases to a relatively low value, we could infer that ANFIS is a good approach to estimate all data based on the limited given samples.

Abstract: In order to improve the accuracy of the image segmentation in video surveillance sequences and to overcome the limits of the traditional clustering algorithms that can not accurately model the image data sets which Contains noise data, the paper presents an automatic and accurate video image segmentation algorithm, according to the spatial properties, which uses the Gaussian mixture models to segment the image. But the expectation-maximization algorithm is very sensitive to initial values, and easy to fall into local optimums, so the paper presents a differential evolution-based parameters estimation for Gaussian mixture models. The experiment result shows that the segmentation accuracy has been improved greatly than by the traditional segmentation algorithms.

Abstract: This paper is to study the influence of Ar+ energy of bombardment Cu target and low energy assisted bombardment on Cu-W film structure in the preparation of Cu-W thin film by dual ion beam sputtering technique with iron as the substrate and argon as ion source. The results shown : when Ar+ energy of bombardment tungsten target is about 3keV, the beam of copper target is 20mA, Ar+ energy of bombardment Cu target is 1kev, 1.5kev and 2keV respectively, Cu-W thin film prepared by ion beam sputtering exists with the skeleton of tungsten in amorphous phase mixing with copper grains; with the increase of Ar+ energy of of bombardment copper target, the grain size of copper increases slightly; influenced by crystal defects and lattice distortion, copper diffraction peak offsets a little. Low energy assisted bombardment helps to increase grain growth of copper and can decrease crystal defects and lattice distortion. But with excessive energy, thin film fails to deposit.

Abstract: The continuous development of embedded technology has emerged an increasing demand of internet-based embedded software. The current existing tools only offer coarse-grained network detection, in other words, they don’t satisfy the refining detection standard for the convenience of developers. This paper begins with analysis into defects of the current network detection methods and tools with deep insight from the Netfilter of Linux kernel and protocol stack for packet processing technology, it then proposes a fine-grained network detection method, with which we build up an embedded-software-network detection tool for digital-home-appliances. The built tool can operate real-time and fine-grained monitoring. An experiment has been performed in the final section of the paper to prove the accuracy of the method.

Abstract: Unknown word is a kind of word that is not included in the sub_word vocabulary, but must be cut out by the word segmentation program. Peoples’ names, place names and translated names are the major unknown words.Unknown Chinese words is a difficult problem in natural language processing, and also contributed to the low rate of correct segmention. This paper introduces the finite multi-list method that using the word fragments’ capability to composite a word and the location in the word tree to process the unknown Chinese words.The experiment recall is 70.67% ,the correct rate is 43.65% .The result of the experiment shows that unknown Chinese word identification based on the finite multi-list method is feasible.

Abstract: Nowadays, the Evaluation Indicator Architecture (EIA) is needed to measure the development level of Industrial Automation Systems (IAS). This paper provides a method to develop EIA for IAS based on GERAM. Starting from the different views of GERAM, the hierarchy structure and the content of Generic EIA is built using the idea of Key Success Factors. Then Partial EIA and Particular EIA can be obtained though derivation from Generic EIA.

Abstract: The model proposed integrates process parameters including pressure and velocity and other important input parameters including the wafer hardness, pad roughness, abrasive size, and abrasive geometry into the formulation to predict the material removal rate. Based on the deformation of hyper-elastic asperities attached to a linear-elastic pad, contact mechanism between the asperities and the wafer is analyzed. Micro-contact mechanism between the particle and wafer is proposed on the basis of elastic-plastic deformation theory. Material removal rate of single abrasive particle is calculated by the abrasive wear theory. The fluid effect in the current model is attributed to the number of active abrasives. Wafer scale material removal rate is analyzed in detail, which is agreed with the experimental results. The Preston’s coefficient, which has been determined empirically, is now given as a function of various processing variables, pad roughness, wafer material properties and slurry status.