An online straightness deviation measurement method of rotary kiln cylinder

Original scientific paper The straightness deviation is a key parameter to evaluate the operation state of large low-speed rotary kiln in hot state. In order to measure the straightness deviation of the kiln cylinder, a method was presented and experimentally demonstrated in real industry field in this paper. Firstly, a reference coordinate system was established on the basis of the operation principle of rotary kiln. Based on the coordinate system, the cylinder of the rotary kiln was divided into several cross sections. The geometry data of each section was collected by the designed laser system. Considering that the data contain the components of straightness deviation and kiln cylinder surface deformation, a mathematical model was proposed to process the collected data. Furthermore, a three dimensional geometry model of the kiln cylinder was set up by employing the cloud data, which can be used to provide theoretical guidance to analyse the operation state of the rotary kiln. Finally, several experiments were conducted in real industry fields to verify the proposed method, and experimental results demonstrated that the method is effective to evaluate the straightness deviation of the rotary kiln. Moreover, the measurement system is featured with small measuring error and low cost.

[1]  Brielin C. Brown,et al.  Fast segment insertion and incremental construction of constrained delaunay triangulations , 2013, SoCG '13.

[2]  Aleksandar Karac,et al.  Analitička i numerička analiza naprezanja u nosivom prstenu rotacijske peći , 2013 .

[3]  Dong Liu,et al.  A robust circle detection algorithm based on top-down least-square fitting analysis , 2014, Computers & electrical engineering.

[4]  Prasanna Rangarajan,et al.  Hyper least squares fitting of circles and ellipses , 2011, Comput. Stat. Data Anal..

[5]  Yuan Guo,et al.  Real-time optical detection system for monitoring roller condition with automatic error compensation , 2014 .

[6]  Longtao Yi,et al.  A new background subtraction method for energy dispersive X-ray fluorescence spectra using a cubic spline interpolation , 2015 .

[7]  Chittaranjan Sahay,et al.  Uncertainty analysis of cylindricity measurements using bootstrap method , 2009 .

[8]  Jonathan Richard Shewchuk,et al.  Triangle: Engineering a 2D Quality Mesh Generator and Delaunay Triangulator , 1996, WACG.

[9]  M. S. Shunmugam,et al.  Evaluation of form data using computational geometric techniques—Part I: Circularity error , 2007 .

[10]  Hamid Reza Goshayeshi,et al.  Modeling of Rotary Kiln in Cement Industry , 2016 .

[11]  Xuejun Li,et al.  General solution to kiln support reactions and multi-objective fuzzy optimization of kiln axis alignment , 2008 .

[12]  Eugeniusz Rusiński,et al.  Proactive Condition Monitoring of Low-Speed Machines , 2014 .

[13]  B. S. Dhillon,et al.  Multiaxial fatigue life prediction of kiln roller under axis line deflection , 2010 .

[14]  Eugeniusz Rusiński,et al.  Proactive control system of condition of low-speed cement machinery , 2013 .

[15]  M. Shariat Panahi,et al.  Simulating the mechanical behavior of a rotary cement kiln using artificial neural networks , 2009 .

[16]  Peter Schalk,et al.  Pipe eccentricity measurement using laser triangulation , 2007, Image Vis. Comput..

[17]  Md. Rafiqul Islam,et al.  A review on kiln system modeling , 2011 .

[18]  Pär Jonsén,et al.  FEM investigation of global mechanisms affecting brick lining stability in a rotary kiln in cold state , 2016 .

[19]  Nor Azwadi Che Sidik,et al.  The use of cubic interpolation method for transient hydrodynamics of solid particles , 2012 .

[20]  Yingjie Yu,et al.  Using triangle-based cubic interpolation in generation of object-adaptive fringe pattern , 2014 .

[21]  Dušan Vukojević,et al.  ANALYTICAL AND NUMERICAL STRESS ANALYSIS OF THE ROTARY KILN RING , 2013 .

[22]  Yiping Shen,et al.  Dynamic modeling and analysis of the large-scale rotary machine with multi-supporting , 2011 .

[23]  Jianfang Dou,et al.  Improved SVD matching based on Delaunay triangulation and belief propagation , 2015, The 27th Chinese Control and Decision Conference (2015 CCDC).