Mathematical model of micro turning process

Mathematical model of micro turning process
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DOI:
10.1007/s00170-009-1932-z
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发表时间:
2009-01
期刊:
The International Journal of Advanced Manufacturing Technology
影响因子:
--
通讯作者:
I. Piotrowska;C. Brandt;H. Karimi;P. Maass
I. Piotrowska;C. Brandt;H. Karimi;P. Maass
中科院分区:
其他
文献类型:
--
作者:
I. Piotrowska;C. Brandt;H. Karimi;P. Maass

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近年来,由于精密加工技术的不断涌现,车削工艺取得了长足的进步。车削操作在汽车和航空航天工业中很常见,在制造复杂的薄结构时,大型金属工件的重量减少到其原始重量的一小部分。力的分析在表征切削过程中起着重要的作用,因为刀具磨损和表面纹理取决于力。在本文中,我们的目标是展示我们的理解的微观车削过程中可以用来预测车削行为,如真实的进给速度和真实的切削深度,以及切削力和进给力。与Malkin和Guo(2006)最近介绍的磨削过程相比,机器切削过程采用不同的模型进行研究。开发的两个自由度模型包括过程运动学和刀具边缘锯齿的影响。在该模型中,输入进给由于车削过程中的电流力而改变,并且进给速率将由于作业工具在与进给相反的方向上的弹性偏转而减小。此外,利用车削过程中的切削力和材料去除量,计算出切削有效截面积来模拟材料去除量。利用该模型,机器操作者可以使用上述车削工艺参数获得非常小的切削深度的切削模型。最后,仿真和实验结果证明,所开发的数学模型预测的真实的位置的刀尖和切削力和进给力的微车削过程足够准确的设计和实施的切削策略的真实的任务。
In recent years, significant advances in turning process have been achieved greatly due to the emergent technologies for precision machining. Turning operations are common in the automotive and aerospace industries where large metal workpieces are reduced to a fraction of their original weight when creating complex thin structures. The analysis of forces plays an important role in characterizing the cutting process, as the tool wear and surface texture, depending on the forces. In this paper, the objective is to show how our understanding of the micro turning process can be utilized to predict turning behavior such as the real feed rate and the real cutting depth, as well as the cutting and feed forces. The machine cutting processes are studied with a different model compared to that recently introduced for grinding process by Malkin and Guo (2006). The developed two-degrees-of-freedom model includes the effects of the process kinematics and tool edge serration. In this model, the input feed is changing because of current forces during the turning process, and the feed rate will be reduced by elastic deflection of the work tool in the opposite direction to the feed. Besides this, using the forces and material removal during turning, we calculate the effective cross-sectional area of cut to model material removal. With this model, it is possible for a machine operator, using the aforementioned turning process parameters, to obtain a cutting model at very small depths of cut. Finally, the simulated and experimental results prove that the developed mathematical model predicts the real position of the tool tip and the cutting and feed forces of the micro turning process accurately enough for design and implementation of a cutting strategy for a real task.