The optimization technique-based balancing of flexible rotors without testruns

In most balancing techniques currently in use, test weights and runs are re quired for the calculation of correction masses. This paper develops a new rotor balancing method without test runs, which uses the balancing objectiv e of influence coefficient method and the initial phase point of Holospectr um. By calculating theoretical unbalance responses and measuring original u nbalance vibrations, a new type of intelligent optimization technique, gene tic algorithm, is applied to optimize the correction masses to minimize res idual vibrations at selected measurement locations and balancing speeds. Th e implementation process and validity of this new method are discussed in d etail through a numerical example, in which two cases are considered. In th e held balancing experiment, a rotating rotor is balanced by employing the new method, in which average fluid oil coefficients within the balancing sp eeds are used in the calculation of unbalance responses, and the optimizati on correction masses are compared with those of the influence coefficient m ethod. Both the simulation and experiment results show that this new method can reduce the residual vibrations effectively. (C) 2000 Academic Press.