【摘要】 机床振动是制约机床加工精度及效率的核心因素,文章基于EAKI策略在多台机床上开展振动试验研究。针对强迫振动及自激振动信号辨识问题,首先提出EAKI振动信号辨识策略;为有效构建振动信号备案知识库,提出信号特征分量提取算法;最后在国内外多台数控机床上进行了全转速状态下的振动试验研究。试验结果有效地验证了EAKI策略的可行性与实用性,同时为机床性能评估及设计完善提供了良好借鉴。更多还原

【Abstract】 Vibration is the key factor that constrains high quality and efficiency of a machine tool. The paper studied a series of experiments on different machine tools based on EAKI method. In order to achieve signal identification between chatter and forced vibration,we proposed EAKI method which combined theoretical analysis,experimental study and database technology. Then we proposed a feature extraction method which can be applied to record useful vibration information in order to construct vibration feature database. At last we conducted a series of vibration experiments on machine tools made in China and abroad. The experimental results verified the feasibility of EAKI strategy effectively and practically,at the same time it provided a good reference for the performance evaluation and redesign of machine tool.更多还原