Measurement of Cutting Tool Condition by Surface Texture Analysis Based on Image Amplitude Parameters of Machined Surfaces-an Experimental Approach

摘要

In this paper an experimental investigation is presented for accomplishing surface texture analysis using machine vision based system for measuring the condition of cutting tool. Texture of machined surface provides reliable information regarding the extent of the tool wear because tool wear affects the surface roughness dramatically. Analysis of machined surface images of different materials by turning process at different wear conditions cutting tool, grabbed using CCD camera are presented. In this paper, we propose 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 using surface metrology software "TRUEMAP" and also with conventional method using stylus instrument for comparative purpose. Since a machined surface is the negative replica of the shape of the cutting tool, and reflects the volumetric changes in cutting edge shape, it is more suitable to analyze the machined surface than to look at a certain portion of the cutting tool. However, considerably less work has been performed on the development of surface texture of machined work piece that provide information on the condition of the cutting tool, employed in machining the surface. In this paper, a non contact method using machine vision (with surface metrology software) is presented for inspecting surface roughness of machined surfaces. Machined surfaces produced under different cutting conditions in turning are studied to measure the cutting tool condition. With our experiments, we found a strong correlation between tool wear and surface roughness (surface texture) of the machined surfaces. Results proved that the approach is effective in measuring the condition of the cutting tool through amplitude parameters.