Abstract
Optimization of machining parameters is valuable to maintain the accuracy of the components and obtain cost effective machining. Force signals are highly sensitive carriers of information about the status of machining process. The measure of uneconomic machining like excessive friction in the machining interface and machining with worn out tool can be identified by means of cutting force. Surface finish is an important measure for the quality of the machined surface. Taguchi method was used to optimize the machining parameters. The objective of the paper is to study the influence of machining parameter on cutting force and surface roughness in turning of AA2219-TiB2/ZrB2 in-situ metal composites. The contribution of the paper is to study the effect of TiB2 and ZrB2 reinforcements, which are formed by in-situ chemical reaction in machining this composite. Cutting speed, feed rate and depth of cut selected as machining parameters. L27 orthogonal layout was used for experimentation. The response graph and analysis of variance shows that the feed rate has strongest effect on cutting force and surface roughness. Regression model also developed between the machining parameters and responses. The confirmation experiments reveal that the good agreement with the regression models.
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