Many studies have approved that optimising the cutting parameters is effective for reducing the energy consumption of machining operations of machine tools. However, this technique to reduce the end face turning energy consumption (EFTEC), where the material removal rate is variable, has not received attention. Besides, the energy consumed for the spindle speed changes was ignored in previous research. Aiming to fill these gaps, an integrated EFTEC model is developed considering the spindle speed changes. In terms of optimisation, the EFTEC model is discretised according to the allowable accuracy of the machine tool. Simulated annealing is adopted to search for the optimal values of cutting parameters that lead to the minimum EFTEC. In the case study, nine parts with changing diameters and cutting depths are machined by a lathe (CK6153i). According to the experiments, simulated annealing has more than 96% probability of obtaining the global optima. The optimum achieves a 14.03% EFTEC reduction for a case. The relationship between the design parameters and the optimal cutting parameters is discussed. A case shows that 2.43% of the machining time increases suffer from the EFTEC optimisation.

许多研究已经证实，优化切削参数可有效降低机床机械加工的能耗。但是，这种减少材料去除速率可变的端面车削能耗（EFTEC）的技术尚未引起关注。此外，以前的研究忽略了主轴转速变化所消耗的能量。为了填补这些空白，考虑了主轴转速的变化，开发了一个集成的EFTEC模型。在优化方面，EFTEC模型根据机床的允许精度离散化。采用模拟退火来寻找导致EFTEC最小的切削参数的最佳值。在案例研究中，用车床（CK6153i）加工了直径和切削深度不断变化的九个零件。根据实验，模拟退火具有超过96％的概率获得全局最优值。最佳情况下，EFTEC降低了14.03％。讨论了设计参数与最佳切削参数之间的关系。一个案例表明，EFTEC优化使加工时间增加了2.43％。