Applied Mechanics and Materials Vols. 130-134

Abstract: Aiming at the raw material of a methylal-methanol azeotropic mixture (including 91.8% of methylal, 8.2% of methanol), With a certain proportion of the composite solvent as extracting agent, over 99.5% purity of methylal can be obtained with two-stage cross-flow liquid-liquid extraction combining distillation operation, while the compound extracting agent can be recycled. Compared with the traditional methods, the new technology has more obvious methanol removing effect, higher product purity, higher recovery ratio (>95%), and lower energy consumption. It’s a new feasible scheme to Separate methylal-methanol azeotropic system.

Abstract: Based on the SAO catalogue, it is presented an approach for modeling and simulating on star map genetation for all-sky. All this can be done with the SAO catalogue in the following way. First, with time conversion, the star position eliminated the effect of the proper motion. Next, throught conversion of precession, nutation and aberration, it gived the star position of the observation named time. Finally, it transformed position coordinates and grayness of star sensor’s parameters in any time and at any places.

Abstract: An amended LMS Newton algorithm is proposed which create the nonlinear functional relation of the step factor μ and the error signal e (n). And the next we discuss the factors in the amended algorithm and the performance in the different IP environment. The algorithm is simple and easy to be implemented, Theoretical analysis and computer simulation show that the properties of the algorithm such as convergence speed, and steady state error ate better than those of SVSLMS algorithm.

Abstract: When the process monitoring model based on PCA is established, outliers would destroy covariance structure of model, so monitoring model deviations will affect the monitoring results. Because the CDCm outlier detection algorithm based on robust scaling underestimates the mean and standard deviation of the normal process data, some outliers will be not detected. The CDCm outlier detection algorithm based on modified scaling achieves an accurate estimate for the original data and can overcome the lack of robust scaling by using the maximum variable value to calculate the distance, using CDCm algorithm to obtain the shortest normal point between sampling values and center distance, which will obtain valid data, computing the first Markov distance of iterative algorithm, and by selecting the samplings corresponding the smaller distance value for iteration to obtain normal data. The robust scaling and modified scaling detection algorithm is applied to fermentation process and the test results have shown that modified scaling CDCm detection algorithm is more accurate and effective.

Abstract: A new self-organizing migrating algorithm named the Dynamic Hybrid Self-Organizing Migrating Algorithm (DHSOMA) is proposed in this paper. First the DHSOMA get the individual’s rank in the population; if the rank of the individual is good, then the DHSOMA randomly selects an individual in population for cooperation evolution; else the DHSOMA takes the individuals dynamic self-organizing migrating. In this way, it accelerates the rate of convergence as well as the searching optima ability. Finally, in the numerical experiments show the performance is much better than HBSOMA and SOMA.

Abstract: We propose an exponential approximating function as a sampling kernel with finite rate of innovation. The performance of reconstruct non-bandlimited signals from its low frequency components would inevitably induce Gibbs phenomenon. This paper establishes the theoretical model on relationship between sampling kernel filter and parametric reconstruction method of non-bandlimited signals, and designs a new window function exponential sampling kernel filter to removal Gibbs Influence. Simulation results show that, compared to Sinc sampling kernel filter, the reconstruction ability of exponential filter based finite rate sampling system is improved under the white Gaussian noise environment.

Abstract: This paper analyses the factors that influence the development of electric vehicles, from the aspects of energy, power grid capacity, environment and the society as a whole. A mathematical model of AHP (Analytic Hierarchy Process) is established to study the factors that influence the development of electric vehicles. The model reveals that the feasibility value of system reaches 0.7332, which indicates the feasibility of promotion for widespread use of electric vehicles in China.

Abstract: This paper presents a model of manufacturing system with two parallel workstations. The machines in the system are non-identical unreliable machines, and the processing times, failure times and repair times of the machines are assumed to be exponentially distributed. We show that such model can be considered a quasi-birth-death process (QBD) with a tri-diagonal block structure generator matrix. The solution method for the QBD process is a matrix-analytic method chosen based on the characteristic of the parallel system. At last a two station one buffer case with three parallel machines at each station is given to show the accuracy and efficiency of the proposed method.

Abstract: Based on the common similarity algorithm between ontology concepts, this paper makes use of semantic weighted distance and introduces such factors as node density, concept attribute and concept information content, and presents an improved semantic similarity algorithm to make the measuring semantic similarity more accurate. Combined the similarity algorithm with SWRL, this paper establishes a semantic retrieval model of manufacturing resource based on rules and similarity , which applies the rules of SWRL to carry on conditional matching in the ontology concepts of manufacturing resource in order to retrieve more eligible results.

Abstract: We present an algorithm to compute Minkowski sum of general ployhedra, the algorithm removes unnecessary information of computing pairwise Minkowski sum by redundancy analysis and adopt heuristic sorting order to improve computing efficiency of union process, contrast experiments show the algorithm is efficient and suitable for CAD and CAM.