Optimization of Bearing Locations for Maximizing First Mode Natural Frequency of Motorized Spindle-Bearing Systems Using a Genetic Algorithm
Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=48163#.VEXvdlfHRK0 Author(s) Chi-Wei Lin Affiliation(s) Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan . ABSTRACT This paper has developed a genetic algorithm (GA) optimization approach to search for the optimal locations to install bearings on the motorized spindle shaft to maximize its first-mode natural frequency (FMNF). First, a finite element method (FEM) dynamic model of the spindle-bearing system is formulated, and by solving the eigenvalue problem derived from the equations of motion, the natural frequencies of the spindle system can be acquired. Next, the mathem...