Venkat Narayana Rao, Dr.A.Govardhan
Surface roughness is an important indicator of the surface quality of machined work pieces. In order to discover the functional relation between cutting parameters and surface roughness, this study is focused on four popular methods which include two novel methods suitable for industry tools and surface examination. The focal point of this paper is to compare and contrast the four popular schemes, and to provide the introspect relating to the suitability of method for the applications. We have focused on such mechanism to deal with surface texture in this paper these are , Multiresolution Texture analysis using Wavelet Based Gabor filters, Neural Network based Algorithm, In-Process Approach , On-line Measurement Method. The results form the experiments from each algorithm are being discussed with their pros and cons and an insight is presented for a prudent analogy. This study would aid to readers in finding an ideal way out to consider best method for factual information about the defects and surface cracks in the machined tools or in any industry equipments.
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