Optimization of machining performance in deep hole boring: A study on cutting tool vibration and dynamic vibration absorber design

L. Li, D.L. Yang, Y.M. Cui
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Abstract

In the realm of precision engineering, particularly in deep hole boring processes, tool vibration emerges as a critical determinant of machining performance. This investigation elucidates the genesis of self-excited vibrations within deep hole boring operations and delineates the underlying mechanisms of cutting tool vibration. A focal point of this study is the optimal alignment of the boring bar to mitigate vibrational impacts, thereby enhancing surface finish quality and extending tool longevity. Central to this analysis is the employment of a Dynamic Vibration Absorber (DVA) aimed at attenuating cutting tool vibration. The deployment of DVA necessitates precise identification of modal parameters, namely the equivalent stiffness (K) and mass (M) of the cutting tool. This research juxtaposes various scholarly methodologies to amalgamate theoretical calculations with simulation approaches, thereby acquiring accurate modal parameters. Utilizing Matlab software, the vibration amplitude of the boring bar under varying spring stiffness scenarios was examined. Results indicate a direct correlation between increased stiffness and reduced amplitude, particularly when the frequency ratio 'g' ranges between 0.5 and 1.1. Consequently, a stiffer DVA configuration is posited as more effective in vibration reduction. Furthermore, the study conducted frequency sweep experiments on a damping boring bar, utilizing a vibration excitation platform. These experiments revealed the existence of an optimal stiffness value for the DVA, thereby underscoring the significance of stiffness matching in vibration mitigation strategies.
优化深孔镗的加工性能:切削刀具振动和动态减震器设计研究
在精密工程领域,尤其是在深孔镗加工过程中,刀具振动成为决定加工性能的关键因素。本研究阐明了深孔镗孔操作中自激振动的成因,并描述了切削刀具振动的基本机制。本研究的一个重点是镗杆的最佳校准,以减轻振动影响,从而提高表面加工质量并延长刀具寿命。这项分析的核心是采用动态振动吸收器(DVA)来减弱切削工具的振动。部署 DVA 需要精确识别模态参数,即切削工具的等效刚度 (K) 和质量 (M)。本研究将各种学术方法并列,将理论计算与模拟方法相结合,从而获得精确的模态参数。利用 Matlab 软件,研究了不同弹簧刚度情况下镗杆的振动幅度。结果表明,刚度的增加与振幅的减小直接相关,尤其是当频率比 "g "在 0.5 和 1.1 之间时。因此,较硬的 DVA 配置可更有效地减少振动。此外,研究还利用振动激励平台对阻尼镗杆进行了频率扫描实验。这些实验揭示了 DVA 的最佳刚度值,从而强调了刚度匹配在减振策略中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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