TEXTURAL ANALYSIS OF SHAPED SURFACES USING MACHINE VISION SYSTEM BASED AMPLITUDE PARAMETERS TO ESTIMATE THE CUTTING TOOL CONDITION
Keywords:
Machine Vision, Tool Condition Monitoring, Surface Metrology, CCD Camera, Amplitude ParametersAbstract
Texture of machined surface provides reliable information regarding the extent of the tool wear. A non contact experimental study is presented for accomplishing texture analysis using machine vision system to estimate the condition of cutting tool at various conditions. Machined surface images of different materials by shaping process at different wear conditions cutting tool are grabbed using CCD camera. Machining conditions are kept constant but two different work piece materials and cutting tools are used. This paper, proposes an amplitude parameters based approach for analysis of machined surfaces. Machined surfaces with different wear conditions of the cutting tool i.e., sharp, semi-dull and dull are investigated by surface metrology software Truemap and also with conventional method using stylus instrument for comparative purpose. Through experiments, we found a high degree of correlation between tool wear and surface roughness (surface texture) of the machined surfaces. Effectiveness of this approach is well justified with results
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