Authors: Seung Hwan Oh, Jung Ho Kang, Won Sik Joo, Xue Guan Song, Hyeung Geol Kong, Young Chul Park
Abstract: The optimization of gate valve was performed using Kriging based approximation model.
The DACE modeling, known as the one of Kriging interpolation, is introduced to obtain the
surrogate approximation model of the function. In addition, we describe the definition, the
prediction function and the algorithm of Kriging method and examine the accuracy of Kriging by
using validation method.
901
Authors: Yong Xian Li, Bin Wang, Guang Ping Peng
Abstract: A new intelligent orthogonal optimization algorithm for robust design is proposed in order to improve accuracy and efficiency. The next searching direction and searching range of variables are determined by variance ratio after the robust optimization model is firstly calculated by design parameters on orthogonal array. New orthogonal array for further optimization is formed intelligently by analysis of variance ratio. The intelligent orthogonal optimization is performed until error value of each variable is equal to zero or is equivalent, which is the optimal robust solution. Correspondingly, the variable range corresponding to the minimum variance ratio in the orthogonal array in preceding step is the tolerance of the optimal robust solution, which means that there is no need for special tolerance design. This paper takes a cam profile as an example to perform robust design. The simulation results prove that the new intelligent algorithm for robust design has many advantages, such as less calculation time, higher speed, no exiting of prematurity of local circulation and slow convergence of global search.
301
Authors: Yi Shang Zhang, Bin Zhao, Yong Shou Liu, Zhu Feng Yue
Abstract: A reliability-based multidisciplinary design optimization (RBMDO) frame work for Centrifugal compressor was presented. Multidisciplinary feasible method was used to decouple the multidisciplinary analysis and the fourth moment method for reliability analysis was recommended systematically. Based on the approximation, the RBMDO framework was finished. The case study shows that optimization efforts could improve obviously the performance of centrifugal compressor under the requirements of reliability. This framework could make the design reach the best performance with a good reliability. It indicates that the proposed optimization method is available and feasible for the engineering application.
575
Authors: Tian Zhong Sui, Lei Wang, Dong Mei Cheng, Hong Wen Cui
Abstract: In this paper, a multi-objective parameter optimization model based on experimental design and NN-GA is established. In this method, utilizing experimental design principle to deal with test project and applying NN to map and using Pareto genetic algorithm to optimize, multi-objective parameter optimization is accomplished, in which the high nonlinear mapping ability of neural network model, the global research ability of genetic algorithms and multiform choice about the test points according to experimental demand are utilized synthetically. A Pareto-optimal set can be found in specify region. The method can be applied broadly and it needn’t the concrete mathematic model for different optimizing demand. For virtual devices and products, the virtual experiments can be realized by parameter-driven characteristic.
12
Authors: Ying Wu, Xu Zhou
Abstract: For being convenient for researching the dynamic characteristic and the improvement and use of the planar six bar mechanism, for improving the dynamic technical performance, the three-dimensional solid model of the mechanism was established with ADAMS. Each part of the model in ADAMS was set up. Simulation analysis on the working process of the mechanism was achieved. The structure optimization parameters of the mechanism were obtained. The result proves that the vertical location of revolute joint of link and rocker, the location of revolute joint of crank and frame, the horizontal locations of two revolute joints of link are almost no impact on the vertical speed of slider. The vertical locations of revolute joint of frame and rocker and revolute joint of block and slider have less impact on the vertical speed and acceleration of slider. The vertical location of revolute joint of link and crank, the horizontal locations of revolute joint of frame and rocker and revolute joint of block and slider have greater impact on the maximum vertical speed and acceleration of slider.
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