The paper presents an original method concerning vibration suppression problem during milling of large-size and geometrically complicated workpieces with the use of novel way of selecting the spindle speed. This consists in repetitive simulations of the cutting process for subsequent values of the spindle speed, until the best vibration state of the workpiece is reached. An appropriate method of obtaining a computational model, called a modal approach, consists in identifying the parameters of the workpiece model created using the Finite Element Method (FEM). Thanks to the results of the identification of the modal subsystem obtained by the Experimental Modal Analysis (EMA) method, it can be stated that the parameters obtained from the experiment and delivered from the computational model have been correctly determined and constitute reliable process data for the simulation tests. The Root Mean Square (RMS) values of time domain displacements are evaluated. The efficiency of the proposed approach is evidenced by chosen technique of mechatronic design, called Experiment Aided Virtual Prototyping (EAVP). The proposed method is verified on the basis of the results of the experimental research of the relevant milling process.

中文翻译：

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一种实验辅助虚拟样机技术在大尺寸结构端面铣削过程中获得最佳主轴转速

本文提出了一种新颖的主轴转速选择方法，在铣削大尺寸和几何复杂工件时解决振动抑制问题。这包括针对主轴速度的后续值重复模拟切削过程，直到达到工件的最佳振动状态。获得计算模型的适当方法称为模态方法，包括识别使用有限元方法 (FEM) 创建的工件模型的参数。由于通过实验模态分析（EMA）方法获得的模态子系统的识别结果，可以说，从实验中得到的参数和计算模型传递的参数已经被正确确定，构成了模拟试验的可靠过程数据。评估时域位移的均方根 (RMS) 值。所提出的方法的效率通过选择的机电设计技术证明，称为实验辅助虚拟原型（EAVP）。在相关铣削工艺的实验研究结果的基础上验证了所提出的方法。