Intelligent Algorithm of Robust Design for Mechanism: Orthogonal Optimization Based on the Analysis of Variance Ratio

This paper presents a new intelligent algorithm of robust method for mechanism design. After primary searching optimization of the orthogonal array, the searching direction and range of orthogonal optimization is put forwarded which is based on the variance and variance ratio analysis of the orthogonal design, which is able to be circulating in the optimization searching. The intelligent orthogonal optimization is performed until error value of each variable is zero, namely the calculation is terminated when the variance ratio of each variable is equal, which is the optimal solution. Correspondingly, the variable range of the orthogonal array in preceding step is the tolerance of the optimal solution. The characteristics of this method is no need for special tolerance design, the tolerance of optimal solution is obtained when the parameter design is completed. In contrast with other robust design methods and optimization methods, this method has the advantage of less calculation time, higher speed, no exiting of prematurity of local circulation and slow convergence of global search. This paper takes a slider-crank mechanism as an example to perform robust design. From the course and results of this case, the method is simple and practical, and also it will have a good application prospect in the field of robust design.