Jia Shun, Wang Shang, Zhang Na, Cai Wei, Liu Yang, Hao Jian, Zhang Zhongwei, Yang Yang, Sui Yang
Department of Industrial Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
College of Engineering and Technology, Southwest University, Chongqing, 400715, China.
Environ Sci Pollut Res Int. 2022 Dec 30:1-22. doi: 10.1007/s11356-022-24908-3.
Energy modeling and cutting parameter optimization of the machining process have been recognized as powerful and effective ways to save energy. However, in the actual machining process, technologists often use empirical methods to determine the final cutting parameters. Due to the lack of theoretical support and optimization tools, this method is difficult to fully consider the constraints of machine tool capability, cutting tool performance, and workpiece material, which affects the overall performance of the machine tool to give full play. To address this problem, a multi-objective parameter optimization method of computer numerical control (CNC) plane milling for sustainable manufacturing was proposed in this paper. More specifically, three tasks were carried out: (1) an accurate milling energy model considering transient processes such as spindle acceleration was established; (2) a multi-objective parameter optimization model of CNC plane milling was established with cutting parameters as optimization variables and considering various complex constraints; (3) by drawing 3D surface maps, the internal relationship between the cutting parameters and the optimization index was presented in detail and intuitively. Finally, a case study was carried out in the XHK-714F vertical machining center. The results showed that the processing efficiency is improved by 21.0%, the energy consumption is reduced by 15.3%, and the surface roughness is reduced by 5.5% through the optimization of cutting parameters, which verified the effectiveness and feasibility of the proposed model and method.
加工过程的能量建模与切削参数优化已被公认为是节能的有力且有效方法。然而，在实际加工过程中，技术人员常采用经验方法来确定最终切削参数。由于缺乏理论支持和优化工具，这种方法难以充分考虑机床性能、刀具性能和工件材料等约束条件，从而影响机床整体性能的充分发挥。为解决这一问题，本文提出了一种用于可持续制造的计算机数控（CNC）平面铣削多目标参数优化方法。具体而言，开展了三项工作：（1）建立了考虑主轴加速等瞬态过程的精确铣削能量模型；（2）以切削参数为优化变量，考虑各种复杂约束条件，建立了CNC平面铣削的多目标参数优化模型；（3）通过绘制三维表面图，详细直观地展示了切削参数与优化指标之间的内在关系。最后，在XHK - 714F立式加工中心进行了案例研究。结果表明，通过切削参数优化，加工效率提高了21.0%，能耗降低了15.3%，表面粗糙度降低了5.5%，验证了所提模型和方法的有效性与可行性。
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