Optimization method of cutting parameters of heavy machine tool

The invention discloses an optimization method of cutting parameters of a heavy machine tool. The optimization method comprises the following steps: (1) establishing a cutting optimization model for the machine tool cutting to obtain technical parameters of the machine tool and determining constraints in the optimization model according to the obtained parameters; and (2) obtaining the best cutting parameter set and an optimal evaluation function value by utilizing the cutting optimization model and the constraints, firstly transforming a target function and the constraints in the cutting optimization model of the heavy machine tool into a single target function, namely a target evaluation function, and secondly solving the cutting optimization model by utilizing a hybrid particle swarm to obtain the best cutting parameter set and a corresponding evaluation function value of the heavy machine tool. In the optimization method, processing time, processing cost, processing quality and processing stability are used as optimization goals, and the optimization model is established according to processing performance parameters of the used machine tool at the same time. The optimization method is suitable for the optimization of the cutting parameters of the heavy machine tool.