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Analytical estimation of diametral error in turning process considering flexible supports

机译:考虑柔性支撑的车削过程中直径误差的解析估计

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Turning is a fundamental metal cutting process. Diametral accuracy plays a vital role while turning long and slender workpieces. Hence the estimation of diametral error becomes more important for work pieces generally with slenderness ratio greater than six. The diametral error during the turning process is caused mainly by radial cutting force component and tangential cutting force component. Apart from this, it is also affected by cutting conditions, rigidity of the machine tool and type of support condition of the work piece. The main aim of the present research work is to construct an analytical model of turning process and to estimate the diametral error of the work piece. The cutting tool edge deflection is determined based on Euler Bernoulli beam theory. The work piece is considered as propped cantilever beam with flexible supports at the ends. These flexible supports are introduced taking the rigidity of head stock and tail stock into consideration. The radial deflection of the work piece is estimated for different slenderness ratio. It was found that the diametral error was lesser near the head stock end when compared to the tail stock end. This is due to the fact that the rigidity of the head stock higher than the tail stock. The maximum diametral error was found almost in the middle of the work piece. This occurs due to the least rigidity at the center along the length of the work piece. The obtained results are also compared with the literature. A good match was found between the results of the analytical model and published literature.
机译:车削是基本的金属切削工艺。直径精度在车削细长的工件时起着至关重要的作用。因此,对于细长比通常大于六的工件,直径误差的估计变得更加重要。车削过程中的径向误差主要是由径向切削力分量和切向切削力分量引起的。除此之外,它还受到切削条件,机床刚度和工件支撑条件类型的影响。本研究工作的主要目的是建立车削过程的分析模型,并估计工件的直径误差。根据欧拉·贝努利射束理论确定切削刃的偏斜度。工件被认为是支撑的悬臂梁,两端具有柔性支撑。考虑到头枕和尾座的刚度,引入了这些柔性支架。对于不同的细长比,估计工件的径向挠度。发现与尾座端相比,头座端附近的直径误差较小。这是由于这样的事实,头枕的刚性高于尾巴的刚性。发现最大的径向误差几乎在工件的中间。这是由于沿工件长度方向的中心处的最小刚度而发生的。还将获得的结果与文献进行比较。在分析模型的结果和已发表的文献之间找到了很好的匹配。

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