Efficient Identification of stability lobe diagrams

有效识别稳定性波瓣图

• 批准号: 312052494
• 负责人: Professor Dr.-Ing. Christian Brecher
• 金额: --
• 依托单位: Werkzeugmaschinenlabor - WZL
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/312052494?language=en
• 关键词: Efficient; Identification; stability; lobe; diagrams

The obtainable productivity of modern machine tools is significantly limited by the occurrence of chatter vibrations. Chatter vibrations are self-excited and self-reinforcing regenerative vibrations, resulting from the interactions between process and machine tool. Despite of being the topic of numerous research projects, chattering is still not fully mastered and investigated. Therefore it is necessary to investigate the influences on stability extensively. However, the identification of stability lobes diagrams, which display the limits of stability and its dependency on cutting depth and rotational speed, is elaborate and poorly reproducible. There already exist two different approaches to reduce the experimental effort to identify the diagrams: the continuous variation of the cutting depth and the continuous variation of the rotational speed. However both approaches dispose some disadvantages regarding the experimental effort.The aim of the requested project is to develop a methodology to make the identification of the stability lobes diagrams more efficient, automatable and reproducible. The long term aim is to standardize the determination of stability lobes diagrams. The methodology is based on a combination of the two approaches mentioned above. The novelty is that not only one parameter, but the cutting depth as well as the rotational speed are variated. In this way, the stability limits are determined continuously. In a future second phase of the project it is planned to use the new methodology to investigate possibilities to compensate statistical influences on the identification of stability lobes diagrams.To develop the new methodology first the two existing approaches are further investigated to clarify the boundary conditions. Furthermore a method for the identification of chatter is chosen and advanced. Afterwards the new methodology is realized by combining the two approaches together with the identification-method and validated by experiments on machine tools. Afterwards the results are evaluated.The result of the project is a new experimental methodology to identify stability lobes diagrams efficiently and automated, which enables a simple and extensive investigation of influences on the stability of machine tools. In addition to that the methodology simplifies the identification of optimal process parameters for stable machining.

现代机床可获得的生产率受到颤振发生的显著限制。颤振是一种自激、自增强的再生振动，是加工过程与机床相互作用的结果。尽管抖音是众多研究项目的主题，但它仍然没有被完全掌握和研究。因此，有必要广泛研究其对稳定性的影响。然而，显示稳定性极限及其对切削深度和转速的依赖性的稳定性叶瓣图的识别是精细的且再现性差。已经存在两种不同的方法来减少识别图表的实验工作：连续变化的切削深度和连续变化的旋转速度。然而，这两种方法处理一些缺点，关于实验的努力。所要求的项目的目的是开发一种方法，使稳定性波瓣图的识别更有效，自动化和可重复的。长期目标是使稳定性波瓣图的测定标准化。该方法基于上述两种方法的结合。新颖之处在于，不仅一个参数，而且切削深度以及旋转速度都是变化的。通过这种方式，可以连续确定稳定性极限。在未来的第二阶段的项目，计划使用新的方法来调查的可能性，以补偿统计的影响，确定稳定性波瓣diagrams.To开发新的方法，首先，现有的两种方法进行了进一步研究，以澄清边界条件。在此基础上，提出了一种颤振识别方法。然后将这两种方法与辨识方法相结合，实现了新的方法，并在机床上进行了实验验证。该项目的结果是一种新的实验方法，可以有效地自动识别稳定性波瓣图，从而可以简单而广泛地调查对机床稳定性的影响。除此之外，该方法简化了稳定加工的最佳工艺参数的识别。