Identification of cutting force coefficients in machining process considering cutter vibration
Identification of cutting force coefficients in machining process considering cutter vibration
复制标题
考虑刀具振动的加工过程切削力系数辨识
DOI：
10.1016/j.ymssp.2017.09.038
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发表时间：
2018-03
影响因子：
8.4
通讯作者：
Baohai Wu
中科院分区：
文献类型：
--
作者：
Qi Yao;Ming Luo;Dinghua Zhang;Baohai Wu
在现有的切削力模型中，切削力系数仍然是综合考虑几何啮合变化、设备特性、材料特性等因素进行预测计算的基础，传统的和一些新的切削力系数辨识方法具有不可替代的重要意义，但仍面临着工作重复、测量条件过于理想、由于材料差异、测量单位的干扰而导致的数值变化。为了充分利用真实的加工截面的大量数据，扩大数据来源，丰富以往预测任务的切削数据库，提出了一种考虑刀夹主轴系统刚度特性的辨识方法。根据先前提出的研究，刀具振动的直接结果是动态未变形切屑厚度的形式。在本研究的两个阶段中考虑了这种波动。首先，建立了考虑刀具振动的切削力模型。在此基础上，提出了一种新的识别方法，即利用采集的切屑数据来识别动态未变形切屑厚度。在精心设计的实验过程中，通过对比预测结果和实测结果，验证了模型的可靠性。在不同的切削条件和刀具刚度下，采集数据，验证识别方法的合理性。结果表明，计算系数的偏差是可以接受的，证实了应用这种新方法实现目标的可能性。在讨论中，提出了潜在的改进方向。
Among current cutting force models, cutting force coefficients still are the foundation of predicting calculation combined with consideration of geometry engagement variation, equipment characteristics, material properties and so on. Attached with unimpeachable significance, the traditional and some novel identification methods of cutting force coefficient are still faced with trouble, including repeated onerous work, over ideal measuring condition, variation of value due to material divergence, interference from measuring units. To utilize the large amount of data from real manufacturing section, enlarge data sources and enrich cutting data base for former prediction task, a novel identification method is proposed by considering stiffness properties of the cutter-holder-spindle system in this paper. According to previously proposed studies, the direct result of cutter vibration is the form of dynamic undeformed chip thickness. This fluctuation is considered in two stages of this investigation. Firstly, a cutting force model combined with cutter vibration is established in detailed way. Then, on the foundation of modeling, a novel identification method is developed, in which the dynamic undeformed chip thickness could be obtained by using collected data. In a carefully designed experiment procedure, the reliability of model is validated by comparing predicted and measured results. Under different cutting condition and cutter stiffness, data is collected for the justification of identification method. The results showed divergence in calculated coefficients is acceptable confirming the possibility of accomplishing targets by applying this new method. In discussion, the potential directions of improvement are proposed.
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影响因子：
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作者：
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通讯作者：
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DOI：
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DOI：
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影响因子：
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影响因子：
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作者：
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