Advanced Materials Research
Vol. 1016
Vol. 1016
Advanced Materials Research
Vol. 1015
Vol. 1015
Advanced Materials Research
Vol. 1014
Vol. 1014
Advanced Materials Research
Vol. 1013
Vol. 1013
Advanced Materials Research
Vols. 1010-1012
Vols. 1010-1012
Advanced Materials Research
Vols. 1008-1009
Vols. 1008-1009
Advanced Materials Research
Vols. 1006-1007
Vols. 1006-1007
Advanced Materials Research
Vols. 1004-1005
Vols. 1004-1005
Advanced Materials Research
Vol. 1003
Vol. 1003
Advanced Materials Research
Vol. 1002
Vol. 1002
Advanced Materials Research
Vol. 1001
Vol. 1001
Advanced Materials Research
Vol. 1000
Vol. 1000
Advanced Materials Research
Vols. 998-999
Vols. 998-999
Advanced Materials Research Vols. 1006-1007
Paper Title Page
Abstract: Tool point frequency response function (FRF) is the key parameters to predict the milling stability in high-speed milling. Receptance coupling substructure analysis (RCSA) is described to predict the tool point FRF. The major difficulties in RCSA are the identification of joint connection parameters and the obtaining of FRFs of substructure. This paper separation of the milling system into three substructures: the machine-spindle-holder taper, the extended holder-tool shank, and the tool extended portion. Develop the connection model compose of linear and rotational springs and dampers. Determine the substructure FRF by measurement and Euler-Bernoulli beam model. Tool point FRF is obtained by coupling the substructure FRFs through the connection model by RCSA.
398
Abstract: Parameter optimization of screw axis with variable diameters and different pitches is very important to improve the performance of material conveying equipment. But it is a trouble thing with classic theory modeling because of the complexity of material fluidity and screw structure. A PSO-trained BP algorithm is applied to establish the screw axis parameter optimization neural network (NN) model.Taking asphalt transfer vehicle as an example, PSO-BP NN is applied to set up the relationship between input parameters and aim parameter. Practical example shows that the PSO-BP NN has faster convergence and higher computational precision than the other three investigated algorithms, and it provides a powerful parameter optimization approach for screw axis with variable diameters and different pitches.
403
Abstract: BF Multi-point Gear-meshing Flexible drive as research object, Established calculation formula of Wheel pressure on Multi-point Gear-meshing Flexible drive and optimization mathematical model, By using adaptive genetic optimization at drive wheel pressure uniformity optimization of Multi-point Gear-meshing Flexible drive, the result is good, Non-uniformity of wheel pressure drop greatly, Reduce the wear between the Track and the inner orbit of gear, the reliable foundation are provided to improve the structure design for Multi-point Gear-meshing Flexible drive, It has high practical value.
407
Abstract: If there is no reliability, high-performance electronic devices indicator is no meaning. Reliability design, testing and verification methods of the vehicle electronic equipment are analyzed in this paper, and presented in the industry designed to improve the reliability of electronic equipment ideas, to regulate the reliability of electronic equipment designed to provide a technical basis.
411
Abstract: The research on the digital simulation of the toroidal worm has been finished. To checking the simulation result, the contrastive experiment between the simulation worm and the practical worm need to be carried out. In this paper, the experiment scheme of the simulation and the manufacture of the tested worm are analyzed in detail.
415
Abstract: The digital simulation is the key on the research of the toroidal worm. The simulation technology is a useful tool on the design, manufacture and development of the toroidal worm. The paper analyzed the key on the building of the simulation software of the planer double-enveloping toroidal worm, the software’s function and its effect in detail.
419
Abstract: In this paper, genetic algorithm is improved by relative fitness, offspring testing method and optimum reserve strategy. An optimum configuration method of viscous damper in tall buildings was presented. This method has strongly practicable in complicated optimization problem of viscous dampers involving many dampers and stories, large design space and lots of optional configuration schema which cannot be solved by exhaustive method. It is used to optimize the configuration of viscous damper in a 30 layers building. Numerical examples demonstrated the efficiency and applicability of the proposed method.
423
Abstract: As to the BSP model assembly line balancing problem, an integration to random distribution about the field data in statistical software of SPSS, is made in the paper with software of eM-Plant, a model and simulate to the production line is built to discover the bottleneck of the production line and the unbalance problem of line fast and accurately. The optimization design and simulation analysis and evaluation can be achieved to optimization goal and shorten the optimization time.
427
Abstract: A mathematical model of multiple-linecollaborative manufacturing was formulated in this paper, and teaching-learning-based optimization algorithm was applied to solve the problem. A set of production orders are taken as example. The results prove that the mathematical model and algorithm can perform well in optimal scheduling of multiple-linecollaborative manufacturing.
432
Abstract: This paper considers single machine scheduling with general position-dependent and job-dependent aging effect. All jobs share a common due window, and an optional maintenance activity (OMA) is taken into consideration. The processing time of a job is a non-decreasing function in its position. Such category of maintenance activity is called the OMA since one can determine the position and the actual duration of it. The objective is to determine the optimal due window position, the optimal location and duration of the OMA, and the optimal job sequence so as to minimize the total of earliness, tardiness, due window starting time, due window size, and the OMA duration related costs. We show that the considered problem can be solved in polynomial time.
437