Efficient parameterization of structural dynamic main spindle models

结构动态主轴模型的高效参数化

• 批准号: 512773132
• 负责人: Professor Dr.-Ing. Christian Brecher
• 金额: --
• 依托单位: Forschungsbereich Werkzeugmaschinen
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/512773132?language=en
• 关键词: Efficient; parameterization; structural; dynamic; main

Information about the properties of the components of a machine tool during operation becomes increasingly important in the context of the topics Industry 4.0 and Digital Twin. The main spindle and its properties are very important in machining. In the context of machining-quality-sensitive applications, such as condition monitoring or process force measurement, knowledge of the current physical properties of the main spindle, as an important component of a machine tool, is of great importance. The structural dynamic properties of the main spindle are influenced by different mechanical and thermo-elastic effects during operation, whose monitoring as well as model-based mapping represent a demanding task. To enable the identification of the static and dynamic properties of the main spindle, sensors are integrated into the spindle in order to measure the relative displacement between the spindle shaft and the spindle housing.This research project aims to develop and investigate a method for the efficient process-parallel parameterization of a model, which simulates the elastic properties of the main spindle. The initial parameterization of the model is based on a simulation and experiments with additional measurement setups. The process-related changes in the structural dynamic properties are taken into account in the adaptive model based on the information from the spindle-integrated sensors and the machine-internal data. Two approaches are defined in this research project for the identification of the structural dynamic properties during operation. The first approach focuses on the identification of the structural dynamic properties based on the simultaneous acquisition of the displacement of the spindle shaft and the process forces identified with machine-internal data. This approach allows the calculation of the static stiffnesses of the main spindle system as well as the indirect determination of its dynamic properties. The second approach is based on the identification of the structural dynamic spindle properties during the execution of standard machine-internal functions, such as tool change, rapid traverse, etc. During the execution of such standard functions, mechanical loads affect the main spindle. The analysis of these loads identifies the actual structural dynamic properties of the main spindle. The validation of the methods is carried out with the aid of process forces measured by means of a force measuring platform and determined on the basis of the parameterized model. With this procedure, the method can be validated in a wide loads spectrum in process-relevant frequency ranges.

在工业4.0和数字孪生主题的背景下，机床部件在运行过程中的属性信息变得越来越重要。主轴及其性能在机械加工中至关重要。在对加工质量敏感的应用中，例如状态监测或过程力测量，作为机床重要部件的主轴的当前物理特性的知识非常重要。主轴的结构动态特性在运行过程中受到不同的机械和热弹性效应的影响，其监测以及基于模型的映射是一项艰巨的任务。为了能够识别主轴的静态和动态特性，在主轴中集成了传感器，以测量主轴轴和主轴外壳之间的相对位移。本研究项目旨在开发和研究一种方法，用于模拟主轴弹性特性的模型的高效过程并行参数化。该模型的初始参数化是基于模拟和实验与额外的测量设置。在自适应模型的基础上，从主轴集成传感器和机器内部数据的信息的结构动态特性的过程相关的变化考虑。在本研究计划中，定义了两种方法来识别结构在运行过程中的动态特性。第一种方法的重点是识别的结构动态特性的基础上，同时采集的主轴轴的位移和过程中确定的机器内部数据的力量。这种方法允许计算主轴系统的静态刚度以及间接确定其动态特性。第二种方法是基于识别的结构动态主轴性能在执行标准的机器内部功能，如工具的变化，快速遍历等，在执行这些标准功能，机械负荷影响主轴。对这些载荷的分析确定了主轴的实际结构动态特性。该方法的验证是在通过测力平台测量的过程力的帮助下进行的，并在参数化模型的基础上确定。通过该程序，该方法可以在与过程相关的频率范围内的宽载荷谱中进行验证。