INVESTIGATIVE MODELLING OF TOOL WEAR AND SURFACE ROUGHNESS IN CNC TURNING

Abstract

As in parts machining, one of the most specified customer requirements is surface quality. Major indication of surface quality on machined parts is surface roughness. The difficult to cut materials are turned with a number of various materials to achieve good surface roughness, dimensional control and reduced tool wear. In this paper experiments are conducted on AISI 4140 alloy steel with carbide insert (CNMG 120408 EA TT5080). Number of experiments and arrangement of process parameters are determined with help of face centered central composite design. In this investigation, the input parameters are spindle speed; feed rate and depth of cut with varied three different levels are used. Response surface methodology is used to generate empirical relationship between the input and the responses which is validated by analysis of variance. The predicted values derived from response surface methodology are compared with experimental data. Multi-objective optimization of turning process parameters is done for tool wear and surface roughness. Obtained result has shown that the depth of cut has significant role to play in producing lower surface roughness followed by feed. The Cutting speed has lesser role on surface roughness from the tests.