High-speed power systems impose higher requirements on the vibration performance of shafts. High-damping composite materials are beneficial to improving the vibration performance of shafts. In this paper, a carbon fiber/aluminum alloy shaft is taken as the research object. The prediction models of the first-order damping loss factor and natural frequency are fitted by the response surface methodology, and the influence of the interaction of various parameters on the vibration reduction performance of the shaft is analyzed. Then, the multi-objective optimization using genetic algorithm obtains the parameter combination closest to the ideal solution (maximizing both the first-order damping loss factor and natural frequency): the ply angle is 24？, the lay-up mode is symmetric, the adhesive layer thickness is 0.2 mm, and the adhesive layer coverage ratio is 90%. Specimens of Al/CFRP shaft and aluminum alloy shaft are fabricated. Through modal experimental analysis, the simulation and optimization results are verified experimentally. The research shows that the finite element model and prediction model have high accuracy. Compared with the aluminum alloy shaft, the optimized Al/CFRP shaft increases the first-order modal frequency and damping loss factor by 7.69% and 283.30%, respectively.
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