Selecting subsets of mutually unrelated ISO 13565-2: 1997 surface roughness parameters in turning operations

Due to the complexity of machined roughness profiles and the fact that different surface characteristics exist in view of function, a multi-parameter analysis of roughness is recommended by international surface metrology standards, as well as by recent research projects. A multi-parameter surface analysis according to ISO 13565-2:1997 standard is performed on longitudinally and face turned surfaces of Ck60 steel over a wide range of feed and cutting speed values in order to stablish subsets of mutually unrelated roughness parameters; each one of them would describe different features of the surfaces with the criterion for this purpose being insensitivity to cutting conditions. The correlation of each parameter considered is examined with the machining conditions; statistical regression models with varying correlation coefficients are developed. It is concluded further that a minimum concise set of independent parameters towards turning process control and research would incorporate Ra, Rsk, RRku, and RDelQ. [Received 3 November 2005, Accepted 7 January 2007]

[1]  V. C. Venkatesh,et al.  Performance evaluation of cemented carbide tools in turning AISI 1010 steel , 2001 .

[2]  A. Antoniadis,et al.  Multi-parameter identification and control of turned surface textures , 2006 .

[3]  George P. Petropoulos,et al.  Modeling of surface finish in electro-discharge machining based upon statistical multi-parameter analysis , 2004 .

[4]  G. M. Zhang,et al.  Dynamic Generation of Machined Surfaces Part 1: Description of a Random Excitation System , 1991 .

[5]  Sulaiman Hasan,et al.  Analyses of surface roughness by turning process using Taguchi method , 2007 .

[6]  Tzeng Yih-Fong,et al.  Multiobjective process optimisation for turning of tool steels , 2006 .

[7]  L. Dobrzański,et al.  Fractal nature of surface topography and physical properties of the coatings obtained using magnetron sputtering , 2004 .

[8]  Wit Grzesik,et al.  Surface integrity of hardened steel parts in hybrid machining operations , 2006 .

[9]  M.S.J. Hashmi,et al.  Surface roughness prediction model by design of experiments for turning machinable glass–ceramic (Macor) , 2005 .

[10]  Hans Nørgaard Hansen,et al.  Quantitative Characterisation of Surface Texture , 2000 .

[11]  B. Lee,et al.  Modeling the surface roughness and cutting force for turning , 2001 .

[12]  Koichi Okuda,et al.  Calculation of the fractal dimensions of machined surface profiles , 1996 .

[13]  U. Zuperl,et al.  A hybrid analytical-neural network approach to the determination of optimal cutting conditions , 2004 .

[14]  A. Camacho,et al.  Surface roughness of AA7050 alloy turned bars Analysis of the influence of the length of machining , 2005 .

[15]  Nikolaos M. Vaxevanidis,et al.  Control of representative turned surface textures , 2004 .

[16]  B. Nowicki.  Multiparameter representation of surface roughness , 1985 .

[17]  W. Grzesik,et al.  Hybrid approach to surface roughness evaluation in multistage machining processes , 2003 .

[18]  Janez Kopac,et al.  Dynamic instability of the hard turning process , 2006 .

[19]  M. A. Sebastián-Pérez,et al.  Study of roundness on cylindrical bars turned of aluminium–copper alloys UNS A92024 , 2005 .

[20]  B. W. Kruszyński,et al.  The influence of manufacturing processes on surface properties , 1989 .

[21]  Mirko Ficko,et al.  Prediction of surface roughness with genetic programming , 2004 .