• S. Om Prakash
• S.M. Deivasikamani
• S. Pathmasharma

The characterization of machined surfaces is a very important activity in any manufacturing process. There are instruments that characterize the surface and its roughness using scale dependent statistical parameters such as variation of height, slope and its curvature. However it has been found that these parameters are strongly dependent on the resolution of roughness measuring instrument. Consequently, instruments with different resolutions and scan lengths yield different values of these statistical parameters for the same surface. The conventional methods of characterization are therefore fraught with inconsistencies. The underlying problem is that although rough surfaces contain roughness at a large number of length scales, the characterization parameters depend only on a few particular length scales, such as the instrument resolution or the sampling length. A logical solution to this problem is to use scale-invariant parameters to characterize rough surfaces. Fractal geometry is a potential tool for characterizing this type of random patterns observed in nature and hence its suitability for surface finish measurements and studying the effect of operating conditions and tool geometry in the finish obtained on a machined surface and simulate the pattern using of fractals. Thus this study can be extended to predict the surface pattern when machining conditions.

Turning, Surface Roughness, Fractals, Feed and Cutting speed

"Fractal Simulation on Machined Surfaces", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.359-363, June-2019, Available :http://www.jetir.org/papers/JETIR1906F58.pdf

"Fractal Simulation on Machined Surfaces", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp359-363, June-2019, Available at : http://www.jetir.org/papers/JETIR1906F58.pdf