Modeling and Prediction of Surface Roughness in Micro Turning of Aluminium Using Regression

Micro-machining is the most basic technology for the production of miniaturized parts with micron level dimensions. One type of tool based micromachining technology is micro turning. It is a conventional metal removal mechanism that has been miniaturized. Surface roughness plays an important role in product quality in producing of micron scale structures and components. In this paper, the effect and prediction of machining parameters on surface roughness in a micro turning operation on Aluminium was investigated by using the multiple Regression modeling concepts. In the micro-turning process, cutting conditions determine the time and cost of production which ultimately affect the quality of the final product. So reliable models and methods are required for the prediction of the output performance of the process.