Title: Impact discussion of curve fitting on turbulence locus structuring

Authors: Zhongwei Liang; Xiaochu Liu; Bangyan Ye; Bihong Xie

Addresses: School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, 510006, China; The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, 310027, China ' School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, 510006, China ' School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, 510640, China ' School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, 510006, China

Abstract: Analysis of turbulence characteristics in the confined space has been emphasised in the strengthen grinding, and it is the main point and a difficult point in the research of fluid theory. For the purpose of studying the technological parameters of strengthen grinding and obtaining its characteristic signal group, the curve fitting's impact on turbulence locus's structuring is discussed and then be quantitatively evaluated. Through the meshing of flow field the turbulence tracing particle's locus is calibrated, then with the measurement of velocities and directions of these particles' motion, different typical algorithms of curve fitting are selected for structuring the model of turbulence locus. On the basis of calculating these locus models' mathematical characteristics, the impact disciplines exerted by curve structuring are quantified by repeated experiments. The impact discipline is analysed thus the final conclusions are reached. The impact mechanism and internal relationship between the curve fittings and the structuring of turbulence locus are established. The technology reference and research idea for turbulence monitoring in the process of strengthen grinding are also be provided.

Keywords: curve fitting; turbulence locus structuring; quantitative impact; process monitoring; grinding process; fluid flow; modelling; turbulence monitoring.

DOI: 10.1504/IJCONVC.2013.054660

International Journal of Convergence Computing, 2013 Vol.1 No.1, pp.86 - 96

Received: 24 Mar 2012
Accepted: 22 Mar 2013

Published online: 19 Jul 2014 *

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