机器人铣削中低频颤振的研究

IF 14 1区 工程技术 Q1 ENGINEERING, MANUFACTURING
Shihao Xin , Xiaowei Tang , Jiawei Wu , Fangyu Peng , Rong Yan , Wei Yang
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引用次数: 1

摘要

在大余量机器人铣削加工中,低频颤振是影响高速和低速铣削加工效率和质量的重要因素。先前的研究使用再生颤振理论,忽略了调制刀具-工件啮合条件,或在螺纹操作假设下的模式耦合理论来解释LFC机制并预测稳定性边界。然而,这些模型忽略或不准确地描述了调制效应,导致对铣削过程中动态切屑厚度变化的建模不准确,从而难以理解LFC的机理。在这里,我们提出了一个LFC稳定性模型,该模型考虑了机器人铣削的调制刀具-工件接合条件和机器人结构的模式耦合效应。这种方法使我们能够揭示LFC的机制,并识别低频振动的特征信号,即边带频率信号。首先分析了线性调频的发展历程,总结了其特点。此外,提出了一种表面更新(SR)模型,以精确计算LFC中由调制刀具-工件接合条件引起的动态切削力。此外,基于脉冲响应函数(IRF)方法,建立了考虑调制刀具-工件啮合条件和模式耦合效应的LFC稳定性模型。最后,我们通过铣削实验验证了模型的准确性,并将其与经典的稳定性预测模型进行了比较。我们的结果表明,LFC高度依赖于速度,并且我们的稳定性模型可以有效地预测机器人铣削过程中LFC的稳定性边界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Investigation of the low-frequency chatter in robotic milling

Investigation of the low-frequency chatter in robotic milling

In robotic milling with large allowance process, low-frequency chatter (LFC) is an important factor observed in high-speed and low-speed milling, affecting the processing efficiency and quality. Previous research has used the regenerative chatter theory, ignoring modulated tool-workpiece engagement conditions, or mode coupling theory under the assumption of threading operations to explain the LFC mechanism and predict the stability boundary. However, these models overlook or inaccurately characterize the modulation effect, leading to inaccurate modeling of dynamic chip thickness changes during milling, making it difficult to understand the mechanism of LFC. Here, we propose an LFC stability model that considers modulated tool-workpiece engagement conditions and the mode coupling effect of the robotic structure for robotic milling. This approach allows us to reveal the mechanism of LFC and identify the characteristic signal of low-frequency vibration, which is the sideband frequency signal. Initially, the evolution of LFC is analyzed, and its characteristics are summarized. Further, a surface renewal (SR) model is proposed to accurately calculate the dynamic cutting force caused by modulated tool-workpiece engagement conditions in LFC. Furthermore, the LFC stability model, considering the modulated tool-workpiece engagement conditions and mode coupling effect, is established based on impulse response function (IRF) method. Finally, we verify the accuracy of our model through milling experiments and compare it with that of the classical stability prediction model. Our results show that LFC is highly dependent on speed, and our stability model can effectively predict the stability boundary of LFC in robotic milling with large allowance process.

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来源期刊
CiteScore
25.70
自引率
10.00%
发文量
66
审稿时长
18 days
期刊介绍: The International Journal of Machine Tools and Manufacture is dedicated to advancing scientific comprehension of the fundamental mechanics involved in processes and machines utilized in the manufacturing of engineering components. While the primary focus is on metals, the journal also explores applications in composites, ceramics, and other structural or functional materials. The coverage includes a diverse range of topics: - Essential mechanics of processes involving material removal, accretion, and deformation, encompassing solid, semi-solid, or particulate forms. - Significant scientific advancements in existing or new processes and machines. - In-depth characterization of workpiece materials (structure/surfaces) through advanced techniques (e.g., SEM, EDS, TEM, EBSD, AES, Raman spectroscopy) to unveil new phenomenological aspects governing manufacturing processes. - Tool design, utilization, and comprehensive studies of failure mechanisms. - Innovative concepts of machine tools, fixtures, and tool holders supported by modeling and demonstrations relevant to manufacturing processes within the journal's scope. - Novel scientific contributions exploring interactions between the machine tool, control system, software design, and processes. - Studies elucidating specific mechanisms governing niche processes (e.g., ultra-high precision, nano/atomic level manufacturing with either mechanical or non-mechanical "tools"). - Innovative approaches, underpinned by thorough scientific analysis, addressing emerging or breakthrough processes (e.g., bio-inspired manufacturing) and/or applications (e.g., ultra-high precision optics).
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