Paper Title:
Intelligent Algorithm of Machine Robust Design Orthogonal Optimization Based on Analysis of Variance Ratio
  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.

  Info
Periodical
Advanced Materials Research (Volumes 102-104)
Edited by
Guozhong Chai, Congda Lu and Donghui Wen
Pages
301-305
DOI
10.4028/www.scientific.net/AMR.102-104.301
Citation
Y. X. Li, B. Wang, G. P. Peng, "Intelligent Algorithm of Machine Robust Design Orthogonal Optimization Based on Analysis of Variance Ratio", Advanced Materials Research, Vols. 102-104, pp. 301-305, 2010
Online since
March 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Tao Fu, Qin Zhong Gong, Da Zhen Wang
Chapter 5: System Test, Diagnosis, Detection and Monitoring, Instrumentation and Measurement, Optimization and Algorithms, Numerical Methods and Simulation
Abstract:In view of robustness of objective function and constraints in robust design, the method of maximum variation analysis is adopted to improve...
464
Authors: Shao Ni Wang
Chapter 10: Organization of the Production, Product Design, Production Planning and Scheduling
Abstract:This paper described examples of genetic algorithm in valve spring optimization design of internal combustion engine, which solve the optimal...
810
Authors: K. Babu
Chapter 3: Materials and Materials Processing Technologies in Mechanical Engineering
Abstract:In striving to remain competitive in the global market, the concept of optimization of manufacturing processes has been extensively employed...
241