Experimental Result Comparisons of Curve Fitting Algorithms on Fluid Path Lines Modeling in Strengthen Grinding Flow Field
Experimental Result Comparisons of Curve Fitting Algorithms on Fluid Path Lines Modeling in Strengthen Grinding Flow Field
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DOI：
10.1007/s40799-016-0072-2
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发表时间：
2016-03
影响因子：
1.6
通讯作者：
Zhongwei Liang;Xiaochu Liu;Bangyan Ye;B. Xie
中科院分区：
文献类型：
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作者：
Zhongwei Liang;Xiaochu Liu;Bangyan Ye;B. Xie
带磨粒的搅拌湍流在机械工业中被广泛应用于强化磨削，因此，湍流的动力学特性成为长期影响磨削机理和工作性能的关键因素。在实验研究中，我们采用流路线（湍流路径线）来演示强化磨削过程中湍流的具体运动过程，通过磨粒的实时空间运动可以清晰地识别出这些运动过程，从而为分析强化磨削湍流的三维运动特性提供了一种可视化的实验手段。磨粒在三维磨削流场中的自由运动对所拟合的流路线的几何特性有重要影响，这些流路建模算法对流路线几何特性的影响机理有待于详细定量研究。本文在提取被选磨粒的图像坐标作为物理控制点，利用安装在湍流监测平台上的成像头阵列确定湍流三维运动轨迹的基础上，依次采用几种典型的曲线拟合算法，通过坐标变换和流场运动矢量计算，构建湍流空间轨迹线。在计算新提出的曲线数学性质的基础上，在已建立的流体路径模型上对这些曲线拟合算法进行了实验结果比较。通过对湍流检测、流路建模过程及其相关实验机理的研究，提出了强化磨削湍流实验的实验建议，为强化磨削湍流实验的性能检测提供了便利和优化。为今后强化磨矿工艺的研究提供了新的思路。
Stirred turbulence with abrasive particles were widely employed for strengthen grinding in mechanical industries, therefore, the dynamic characteristic of turbulent flow comes up as a key element influencing grinding mechanism and operation performance in a long term. In this experimental research, we use flow path lines (turbulent path lines) to demonstrate the specific moving process of turbulent flow during strengthen grinding operation, which can be clearly identified by the real-time spatial movements of those abrasive particles, therefore a visual experimental approach can be provided to analyze the three-dimensionalmotion characteristics of strengthen grinding turbulence. The free movements of abrasive particles in three-dimensional grinding flow field exert an important influence on the geometrical properties of fluid path lines to be fitted, and the influence mechanism caused by those fluid path modeling algorithms should be studied quantitatively in detail. In this article, after extracting the image coordinates of those selected abrasive particles denoted as physical control points, and determining the three-dimensional moving path of turbulent flow by using imaging head array mounted on turbulence monitoring platform, several typical algorithms of curve fitting were sequentially employed for constructing the spatial path lines of turbulent flow, using coordinate transformation and flow motion vector computations. On the basis of computing the newly proposed curve mathematical properties, we made an experimental result comparison of those curve fitting algorithms on the established fluid path models. With several proposed experimental suggestions concerning turbulence inspection, flow path modeling processes and their correlated experimental mechanisms, the performance inspection of strengthen grinding turbulence experiments will be highly facilitated and remarkably optimized. Thereafter, new ideas for studying strengthen grinding process in future were also provided.