Aiming at the problem of low machining efficiency caused by the constant feedrate set by craftsmen in CNC machining, a feedrate optimization method by effectively combining the allowance optimization and the constant power constraint is developed in this paper. Firstly, the paper presents a machining allowance optimization method and corresponding hierarchical solution strategy to calculate machining allowance distribution. Then, a milling power prediction model is established on the basis of the milling force model and its accuracy is verified by the power model verification experiments. Furthermore, a feedrate optimization method with the spindle constant power constraint and a principle of secondary fine optimization are proposed. Finally, the allowance optimization of the complex part is carried out to obtain the positioning parameters and the optimal machining allowance distribution of the blank. Based on the machining allowance optimization results, the effectiveness of the feedrate optimization method is verified by the complex part machining optimization experiments. The experimental results show that the real-time power is maintained within the range of [−5.88%, 7.31%] of given target power value, reaching constant power constraint. It significantly shortens the processing time, improves the efficiency by 26.88%, and reduces the cost under the premise of protecting the machine tool and cutter. In this paper, the integrated optimization process from the determination of the blank quality to the processing parameter optimization is systematically completed.

针对数控加工中工匠设定恒定进给率导致加工效率低的问题，本文提出了一种将余量优化与恒定功率约束有效结合的进给率优化方法。首先，提出了一种加工余量优化方法和相应的分层求解策略来计算加工余量分布。然后，在铣削力模型的基础上建立铣削功率预测模型，并通过功率模型验证实验验证其准确性。进一步提出了主轴恒功率约束下的进给率优化方法和二次精优化原理。最后，对复杂零件进行余量优化，得到定位参数和毛坯的最佳加工余量分布。基于加工余量优化结果，通过复杂零件加工优化实验验证了进给率优化方法的有效性。实验结果表明，实时功率保持在给定目标功率值的[-5.88%, 7.31%]范围内，达到恒定功率约束。显着缩短加工时间，提高效率26.88%，在保护机床和刀具的前提下降低成本。本文系统地完成了从毛坯质量确定到加工参数优化的一体化优化过程。