Cutting parameter optimisation is an effective way to realise energy-efficient machining. In previous studies, the cutting parameters of machining features of turning, milling, grinding, drilling, hobbing, and threading were optimised to decrease energy consumed by machine tools, and considerable energy savings were achieved. However, the energy consumption (EC) for each feature was separately optimised without systematic consideration of the negative effects on the EC for other features. The total EC for all features together probably increases. Hence, the trade-off amongst the reductions of EC for each feature needs to be jointly optimised. In our study, the external turning and drilling features are selected as examples to be combined. As a key novel contribution, we propose the integrated dimensional and cutting parameter optimisation problem about minimising the EC of Machine Tools for the combination of Turning and Drilling features (EMT-TD). In terms of optimisation, differential evolution (DE) is adopted to minimise the EMT-TD. According to case studies, DE obtained the optimal solutions within a computation time of 1 second. The optimal solutions achieved savings of 5.41%, 10.85%, and 7.19% of EMT-TD and savings of 2.23%, 5.90%, and 2.73% of machining time for three typical cases, respectively.

切削参数优化是实现节能加工的有效途径。在以往的研究中，通过优化车削、铣削、磨削、钻削、滚齿、螺纹加工等加工特征的切削参数来降低机床的能耗，取得了可观的节能效果。然而，每个功能的能耗（EC）都是单独优化的，没有系统地考虑其他功能对EC的负面影响。所有功能的总 EC 可能会增加。因此，每个功能的 EC 减少之间的权衡需要共同优化。在我们的研究中，选择外圆车削和钻孔特征作为组合的例子。作为一项关键的新颖贡献，我们提出了关于最小化车削和钻孔特征组合机床的 EC 的集成尺寸和切削参数优化问题（EMT-TD）。在优化方面，采用差分进化（DE）来最小化EMT-TD。根据案例研究，DE在1秒的计算时间内获得了最优解。对于三种典型情况，最优解决方案分别节省了 EMT-TD 5.41%、10.85% 和 7.19%，加工时间分别节省了 2.23%、5.90% 和 2.73%。