Abstract: Swarm Intelligence which emerges from interactions of simple individuals can be used to solve many problems. The foraging task in ant system is often considered as the prototype of cooperative behavior in Swarm Intelligence. The foraging model in swarm robots which considers the random feature of individual robot is built using the mean field method. Then the conflict between robots which influences the performance is observed. To solve this problem, a modified foraging strategy based on pheromone is proposed. From the simulations in Starlogo platform, it is shown that the modified method can reduces the conflict of robots and increase the performance of the system.
Abstract: Analytical model based on the Bernoulli beam theory and strain compatibility conditions at the interfaces between the two layers have been developed to predict the distribution of thermal stresses within the multi-layered structure due to the mismatch of thermal expansion. The closed-form solution of thermal stresses related to the material properties and geometry were obtained. It is useful to provide a simple and efficient analytical model, so that the stress level in the layers can be accurately estimated. The analytical results are compared with finite element results. Good agreement demonstrates that the proposed approach is able to provide an efficient way for the calculation of the thermal stresses.
Abstract: Optical fiber sensors with light weight, small dimension and immunity to electromagnetic interference are widely used in structural health monitoring device. In this investigation, a theoretical model of the strain transferred from the host material to the embedded optical fiber is developed to reveal the differential strains between the optical fiber sensor and host material. The theoretical predictions are validated with the numerical analysis using the finite element method. The percentage of strain in the host material actually transferred to the optical fiber is dependent on the bonding characteristics such as adhesive layer, protective coating and host material. Parametric study shows that the larger of the host material the more strain is transferred to the optical fiber.
Abstract: Based on the equations of motion and rheological theory of abrasive flow in the slit, effect between wall slip and grinding has been analyzed and grinding flow model of abrasive flow has been built in this paper. Wall pressure, wall shear stress, wall slip and the grinding force equation of abrasive flow were derived using the model. What is important, the effects of relevant factors were analyzed. The results show that wall slip is one of the necessary conditions that in abrasive flow machining, and show that main factors influencing wall slip are viscosity coefficient , grinding coefficient of abrasive flow, and the first normal stress difference. In the meantime, the results also show that grinding force in slit wall is proportional to the entrance pressure of slit. That is to say that the grinding force of per unit length in flow direction increasing dramatically with decreasing slit height.
Abstract: Aiming at the requirement to share and reuse the product design knowledge in product development process, the method to describe the product design knowledge is studied in the paper. The description level and contents of design knowledge are analyzed firstly, then the consistent description pattern of design knowledge Database is presented.
Abstract: Advanced manufacturing technology is one of the modern frontier disciplines of science and technology, which is the aim with the fastest speed, lowest cost to provide users with useful high-quality products. It is manufacturing process method with changing and development for process, and is also the core technology and infrastructure to advanced manufacturing technology for advanced manufacturing technology. On the basis of presentation of feature and characteristic of advanced manufacturing process, this paper mainly discusses the trend for development of advanced manufacturing technology, and looks forward to applying the advanced manufacturing process in our country.
Abstract: In the optimization design for steering mechanism of trucks, considering the impact of controllable factors and noise factors, based on the reliability optimization theory, the stable reliability sensitivity method and the robust design method, the robust reliability design for steering mechanism of trucks is extensively discussed. Compared with the conventional probabilistic reliability optimization approach, the proposed method does not require a presumed probability distribution of the uncertain parameters and only the bounds or ranges of their variations are required. The movement precision is chosen as objective function and kingpins distance, axle base, the bottom angle of trapezoid and the arm length are chosen as design variables.
Abstract: As a hot spot of the algorithms of swarm intelligence, Ant Colony Optimization is proposed by an Italian scholar M.Dorigo by simulating the foraging actions of ants. This paper introduces the principle of this algorithm and its merit and demerit in great detail. It proposes an effective method named “four steps” based on others scholars’ “three steps” to choose the optimal combinational parameter of ant colony algorithms, then analyzes the improved algorithm of ant colony. At the same time, several kinds of algorithms are compared and analyzed in performance in solving TSP problems through the experiments. the optimal results can be obtained.
Abstract: The paper adopts the knowledge reduction method in Rough Set theory to adjust Apriori Algorithm and proposes “Itemset Reduction Method”to reduce the amount of the candidate sets and improve the effeciency of the algorithm. In the experiments of the research, the results of both the improved algorithm and Apriori Algorithm are compared, and ideal results are gained.
Abstract: Ultra-thin (20 nm) nickel catalyst films were deposited by sputtering on SiO2/Si substrates. At the pretreatments, ammonia (NH3) was conducted for different time in a thermal chemical vapor deposition (CVD) system. Pretreated samples were characterized using atomic force microscopy (AFM). After the pretreatment, acetylene was introduced into the chamber for 10 min, samples were characterized using scanning electron micrograph (SEM) and X-ray diffraction (XRD). It was concluded that NH3 pretreatment was very crucial to control the surface morphology of catalytic metals and thus to achieve the vertical alignment of carbon nanotubes (CNTs). With higher density of the Ni particles, better alignment of the CNTs can be obtained due to steric hindrance effect between neighboring CNTs.