Applied Mechanics and Materials Vols. 26-28

Abstract: To resolve the problem of degaussing of the magnetic pump, a new drive device is designed, consist of external magnetic rotor,isolation units and torque ring. Based on ANSYS12.0 analysis software, electromagnetic coupling method is firstly adopted on the simulation of this drive device. The comparison of simulation value and experimental data indicates that this method is feasible. For the purpose to provide evidence for more in-depth study of high temperature magnetic pump. Especialy,some key factors effecting on torque are considered, and this will provide references for further study of high-temperature magnetic pump.

Abstract: The paper, referencing the idea of collaboration and share of Grid and Grid Management, aiming at the limitations of the traditional model of marketing, put forward the concept of Grid Marketing. Based on the analysis of characteristics of Grid Marketing, this article studies the design principles of the model of Grid Marketing Management, constructs the model of Grid Marketing Management, and designs the operation process of the management model.

Abstract: X-corner detection is widely used in camera calibration. In this paper, a new algorithm for X-corner detection is proposed to cope with the problems of central symmetry and the light and dark alteration in the four regions around the center. The position of the corner can be determined exactly by detecting the change of the image gray and computing the correlation coefficient of the symmetry regions through the presented algorithm. Experiments show that the algorithm is easily implemented with the less computational cost. Furthermore, it is robust to the rotation transformation and brightness alteration of the X-corner image and is insensitive to the noise of the image.

Abstract: In this paper, we proposed a new hybrid approach, combining ANN and DE(Differential Evolution), for job-shop scheduling. Job-shop scheduling can be decomposed into a constraint satisfactory part and an optimization part for a specified scheduling objective. For this, an NN and DE-based hybrid scheduling approach is proposed in this paper. First, several specific types of neuron are designed to describe these processing constraints, detecting whether constraints are satisfied and resolving the conflicts by their feedback adjustments. Constructed with these neurons, the constraint neural network (CNN) can generate a feasible solution for the JSSP. CNN here corresponds to the constraint satisfactory part. A gradient search algorithm can be applied to guide CNN operations if an optimal solution needs to be found at a fixed sequence. For sequence optimization, a DE is employed. Through many simulation experiments and practical applica¬tions, it is shown that the approach can be used to model real production scheduling problems and to efficiently find an optimal solution. The hybrid approach is an ideal combination of the constraint analysis and the optimization scheduling method.

Abstract: The free vibration model of a rotating composite thin-walled closed-section beams is presented in this paper. The two-dimensional cross-sectional analysis based on the variational-asymptotical method(VAM) is combined with the Hamilton’s principle to derive the equations of motion and associated boundary conditions of the beams. The Galerkin method is employed in order to solve the coupled differential equations. The natural frequency results obtained for the present model are compared with those of the existing models. Numerical results are obtained for the laminated composite cantilevered box beam with Circumferentially Uniform Stiffness(CUS) configuration, the effects of the fiber orientation, pitch and precone on the natural frequencies associated with coupled vibration modes are investigated.

Abstract: In order to explore the cutting rules and optimize the cutting parameters of titanium alloy, multiple sets of test parameters were schemed out by using the uniform design method. Test cutting researches with these parameters were conducted under the condition of 12°C dry cutting and -50°C cold blast machining respectively. Through the regression analysis about the results of the test, a multiple linear regression model which is applicable for titanium alloy cutting on its surface roughness and cutting force has been established. The variance analysis shows that it is of remarkable linear relationship. On this basis, a multi-objective optimization model of titanium alloy has been set up. And by means of multi-objective data weighted method, successfully convert the multi-objective optimization model into a single-objective one. Verification tests were done under these cutting parameters, and the results are in good agreement with the calculated.

Abstract: A semi-active shock isolation technology with magnetorheological devices was systematically studied. The magnetorheological devices consist of magnetorheological dampers (MRD) and magnetorheological elstomers (MRE) isolator. Based on the method of Lyapunov function, the semi-active control strategy and the control algorithm were developed to minimize the relative movement of the system. The simulation results show that, compared with the passive devices, the semi-active control technology in the paper is effective to reduce the relative displacement and the shock acceleration of protected equipment. And the system will go back to the stable state within ultrashort time.

Abstract: How to construct the “appropriate” split hyper-plane in test nodes is the key of building decision trees. Unlike a univariate decision tree, a multivariate (oblique) decision tree could find the hyper-plane that is not orthogonal to the features’ axes. In this paper, we re-explain the process of building test nodes in terms of geometry. Based on this, we propose a method of learning the hyper-plane with two stages. The tree (TSDT) induced in this way keeps the interpretability of univariate decision trees and the trait of multivariate decision trees which could find oblique hyper-plane. The tests of the impact of Combination methods tell us that TSDT based combination algorithm is much better than other tree based combination methods in accuracy.

Abstract: Comprehensive evaluation of distribute network planning is a multi-factors decision-making problem in complicated system. Combining with the factors of distribute network planning, established for the distribution network planning project evaluation fuzzy comprehensive evaluation model, and the entropy weight method is led into comprehensive fuzzy evaluation. It overcomes the shortages of traditional method, which requires to the independence of each index, and the weight coefficients of factors are automatically determined according to the opinion of experts. Finally, one example is used to verify the feasibility and practicality of the method.

Abstract: The main failure forms of oilstone forming die is serious wear on the work face, so the key point to extend the use life of die is how to control the wear. In order to improve the hardness and resistance to wear and prolong the use life of the oilstone forming die, the boronizing technology was used on the work face of the oilstone forming die. There are some of elements such as B、C、Al、Cr、Si　and Fe etc in boronizing layer, all of them change their contents during boronizing. Maximum value of microhardness of boronizing layer appears in subsurface, not in surface, and lows along depth of boronizing layer. The abrasion resistance of boronizing layer comes out maximum after quenching and tempering. After quenching and tempering, the lifetime of the oilstone forming die with boronizing is greatly improved.