Mathematical models to predict surface finish in fine turning of steel. Part II
研究了用TiC涂层和硬质合金刀具精车钢件时，基于切削速度、进给量等五个变量预测表面光洁度的数学模型，并开发了包含刀具类型的统一模型。
Abstract This paper outlines further experimental development of mathematical models for predicting RMS surface finish in fine turning operation using TiC coated and cemented tungsten carbide throwaway cutting tools. The five independent variables included are: cutting speed, feed, depth of cut, time of cut of tool, nose radius. Using these five variables at different levels an experimental approach, predictive models for tungsten carbide and titanium coated tungsten carbide tools were developed. A sixth variable, 'the type of cutting tool,' was used to develop a single model for both the TiC coated and cemented carbide cutting tools. AIS1 4140 steel was used as workpiece specimen in the experimental work. Stepwise regression analysis was used in developing the models.