An optical tomographic method to characterize the mist distribution in MQL Tools
An optical tomographic method to characterize the mist distribution in MQL Tools
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DOI：
10.1016/j.jmapro.2020.12.025
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发表时间：
2021-02
影响因子：
6.2
通讯作者：
J. Raval;Bruce L. Tai
中科院分区：
文献类型：
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作者：
J. Raval;Bruce L. Tai
适当的雾流对于最小量润滑（MQL）加工非常重要，因为只有少量的润滑剂-空气混合物被应用于切割区域。本文提出了一种基于光学层析成像的方法来可视化的润滑剂分布的MQL雾流通过工具的通道，特别是钻井。从多个视角获取流的高速图像以捕获3D流的2D投影。滤波反投影（FBP）算法被用来执行层析成像，并产生层析重建图像的润滑剂分布在通过工具的通道。该方法与已知的环形流使用垂直管流创建的验证。该方法还应用于两个3D打印钻头，一个具有两个直通道，另一个具有两个螺旋通道，以模拟钻头的实际贯通工具通道几何形状。使用FBP获得的断层重建与文献相匹配，并显示出对润滑剂分布的通道几何形状的明显影响。物理，成像和照明要求，以实现适当的结果，使用这种技术也详细的文件。
Proper mist flow is important to Minimum Quantity Lubrication (MQL) machining as only a small amount of lubricant-air mixture is applied to the cutting zone. This paper presents an optical-tomography-based method to visualize the lubricant distribution of MQL mist flow in through-tool channels, particularly for drilling. High-speed images of the flow are acquired from multiple view angles to capture the 2D projections of 3D flow. The Filter Back Projection (FBP) algorithm is used to perform tomography and produce tomographic reconstruction image of the lubricant distribution in the through-tool channels. The method is validated with a known annular flow created using a vertical pipe flow. The method is also applied to two 3D printed drill bits, one with two straight channels and another with two helical channels to emulate actual through-tool channel geometries of drills. The tomographic reconstructions obtained using FBP match with the literature and show a clear influence of the channel geometry on the lubricant distribution. Physical, imaging, and lighting requirements to achieve proper results using this technique are also detailed in the paper.