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在机床结构动态特性研究中,往往由于缺少可信度较高的那些支承单元和联接单元的动态参数而告失败;在机床动态优化设计中,由于缺少这些单元可靠的动态参数族(数据库)而使计算结果偏离实际甚远,以致无从予测其动态特性。显然,机床结构联结单元动态参数识别是机床动态特性研究中的一个关键问题,但是,由于机床结构的支承单元和联接单元的类型颇多,使用条件差异甚大,要建立这些单元完整的动态参数数据库,诚然不是件轻而易举的事。就此,本文给出了一种实验与计算机相结合的方法,用以迅速地识别机床结构特定的支承单元和联结单元的动态参数(联接刚度、阻尼)。它既可方便而准确地识别出所要求的那些特定联接单元的动态参数,又为建立不同类型和使用条件下机床支承单元和联接单元动态参数数据库提供了通用的识别方法。本文以识别不同类型的支承单元和联接单元动态参数为例,提出了相应的实验方法并给出了通用的计算机识别程序之框图。
In the research of the dynamic characteristics of the machine tool structure, the dynamic parameters of the bearing units and the coupling units with high credibility often fail due to lack of reliability parameters. In the dynamic optimization design of the machine tool, due to the lack of reliable dynamic parameter families (databases) of the units So that the calculation results deviate from the actual far, so unable to predict its dynamic characteristics. Obviously, the dynamic parameter identification of the machine tool structural linkage unit is a key issue in the study of the dynamic characteristics of the machine tool. However, due to the large number of support units and coupling units of the machine tool structure, the use conditions vary greatly, and a complete dynamic parameter database , Certainly not a breeze. In this connection, this paper presents a combination of experimental and computer methods to rapidly identify the dynamic parameters (coupling stiffness, damping) of the machine-specific support and coupling units. It not only can identify the required dynamic parameters of specific coupling units conveniently and accurately, but also provides a general recognition method for establishing dynamic parameters database of machine support units and coupling units under different types and conditions of use. In this paper, taking the dynamic parameters of different types of support units and coupling units as examples, the corresponding experimental methods are proposed and the block diagram of the general computer recognition program is given.