Advanced Materials Research
Vol. 897
Vol. 897
Advanced Materials Research
Vol. 896
Vol. 896
Advanced Materials Research
Vol. 895
Vol. 895
Advanced Materials Research
Vol. 894
Vol. 894
Advanced Materials Research
Vol. 893
Vol. 893
Advanced Materials Research
Vols. 891-892
Vols. 891-892
Advanced Materials Research
Vols. 889-890
Vols. 889-890
Advanced Materials Research
Vols. 887-888
Vols. 887-888
Advanced Materials Research
Vol. 886
Vol. 886
Advanced Materials Research
Vols. 884-885
Vols. 884-885
Advanced Materials Research
Vols. 881-883
Vols. 881-883
Advanced Materials Research
Vol. 880
Vol. 880
Advanced Materials Research
Vol. 879
Vol. 879
Advanced Materials Research Vols. 889-890
Paper Title Page
Abstract: Aiming at billet stacking problem of the rolling mill, a multi-objective programming model is established. Billets on the roller are batched by clustering algorithm and then assigned to the warehouse stack positions by improved Clustering-based Best Fit algorithm (CBF). The utilization of non-empty warehouse stack positions and shuffles are considered in the algorithm. Compared to existing artificial calculation method, the proposed algorithm can not only reduce the shuffles significantly, but also improve the space utilization of warehouse stacking positions.
606
Abstract: For the work exchange network, this paper proposed an optimal matching network mathematical to achieve the maxime reuse target. Based on this method, a case is studied, the corresponding work exchange network is optimized and the optimal matching network is obtained. The case study also shows that this method is more efficient and specific than the graphical and problem table methods, which is proved by the correctness, efficiency and benefits of mathematical programming method.
612
Abstract: SVM classification model has been widely applied to mechanical equipment fault diagnosis and material defects classification. It is difficult to choose the optimal value of penalty factor C and kernel function parameter for SVM model. Therefore, an improved genetic algorithm to optimize SVM parameters is put forward, which improves crossover and mutation operators and enhances convergence properties by using the best individual retention strategy. UCI data set is used to verify the algorithm. The testing results show that the algorithm can quickly and effectively select optimal SVM parameters and improve SVM classification accuracy.
617
Abstract: The law of bone remodeling asserts that the internal trabecular bone adapts to external loadings, reorienting with the principal stress trajectories to maximize mechanical efficiency creating a naturally optimum structure. In this paper a new heuristic topology optimization method based on ordinary differential equations describing bone remodeling process is presented. The basis for numerical algorithm formulation was the phenomenon of bone adaptation to mechanical stimulation. The resulting optimization system allows fulling mechanical theorem for the stiffest design by use of presented heuristic topology optimization approach. Two widely used numerical examples are shown to confirm the validity and utility of the proposed topology optimization method.
622
Abstract: The nonlinear beam equation are real physical models, most of physical phenomena is described by nonlinear partial differential equations. In this work, we employ the tanh-function method to obtain new travelling wave solutions of nonlinear Beam equations.
628
Abstract: Based on stability theory of impulsive differential equation and new comparison theory of impulsive differential system, some simple yet less conservative criteria ensuring impulsive synchronization of the Lurie systems are derived. A numerical example is given to illustrate the effectiveness of the method.
633
Abstract: This article proposes whether fatigue failure is same under laboratory condition and theoretical calculation based on loader fatigue test. Analyzing and calculating the loading cycles, then counting by counting method, then obtain the S-N curve of loader by finite element method. Combines gray correlation theory to analyses the correlation of fatigue failure between laboratory condition and theoretical calculation.
637
Abstract: In the sphere of the consolidating technique of the engineering structure the new and developing theory of the steel adhered reinforcement has gradually applied to the practical engineering. Reinforcement steel structural adhesive is a method using steel plate pasting on the component surface to improve bearing capacity of the structure, which is widely used in reinforced concrete bending, eccentric compression and tension reinforcement. In this paper, based on continuum damage theory and statistical strength theory, Starting from each phase of the concrete, medium micro softening plasticity and strain of non-uniform, Numerical simulation of steel bonded reinforcement bending failure of concrete beam was carried out and Analysis of the crack propagation and failure form were put forward. Based on FEM analysis, the size of material and binder were selected reasonably, ensuring the safety and durability of concrete beams, provide technical support for the practical engineering as well.
645
Abstract: To meet the demand of ship-board TT&C equipment measurement precision, its necessary to calibrate the equipment to define the error parameters. And the error parameters should be suitable for the revising model. Based on the research of instrumentation ships calibration technology and angle error revising theory of the ship-board TT$C equipment, this article found the error of the revising model of the ship-board TT&C equipment and bring forward the updated model how to revise the angle error by calibration for zero method, which solved the problem that azimuth error aperiodically arises.
653
Abstract: In the paper, we address the problem of target tracking with quantized communication. While the probabilistic distributed function of the measurement is unknown, in order to simplify the calculations of target tracking system and improve the accuracy of estimation, we propose a Kalman filter under uniformly probabilistic quantization, and analyze the performance of the probabilistic quantization Kalman filter. Simulations results are provided to verify the performance of the target tracking system under uniformly probabilistic quantization.
658