Genetic Algorithm Optimization for Tensioning in a Rotating Circular Saw Under a Thermal Load

The optimization problem for tensioning conditions in a rotating circular saw under a thermal load is solved by a genetic algorithm. The governing equations for the in-plane behavior due to rotation, thermal load by friction, and plastic strain by tensioning and those for the resulting out-of-plane behavior are presented; the solution for in-plane forces is obtained; and a modal analysis is performed. Numerical calculations are performed to investigate the effect of tensioning conditions on the natural frequencies. The optimization problem to maximize the natural frequency of the most critical mode is solved, and the optimal tensioning conditions are determined.