Anatoly Rozenblat

Analysis of Stainless Chip Formed by Circular Segmental Saws Anatoly Rozenblat

This book is about of metal cut-off processes mainly for the big rolled and other products from stainless steels with using of cold circular segmental saws. The main objective of this book is to define and analyze the geometrical parameters of stainless chip (external and internal its diameters, number of chip wraps and clearance between these wraps, and also its width and thickness) which formed in cutting processes. The topics presented in this book have been organized into 8 chapters. The chapter one presents chip-formation in cut-off processes. The chapter two shows the main characteristics of polygon distribution for stainless chip. In chapter three is shown the functional oriented graph in evaluation of geometrical parameters for stainless chip. In chapter four is given the applied statistics in evaluation of correlation between two parameters of stainless chip. In chapter five is shown the correlation between three parameters of stainless chip for internal and external diameters and other parameters of stainless chip. In chapter six is shown the multiple regression analysis for external diameter of stainless chip in dependence from some general its parameters. In chapter seven is shown the multiple regression analysis for internal diameter of stainless chip in dependence from some its parameters. In chapter eight is given the multiple regression analysis of the main parameters of stainless chip and shown the empirical formula for calculation of external and internal diameters of stainless chip in dependence from other its parameters. And besides were evaluated many functions characterizing these dependencies on the main parameters of stainless chip in question of finally definition regression model( linear or non-linear ) on the basis using such statistical characteristics as coefficient determination, coefficient of correlation, standard deviation, minimization of the mean square error (min MSE) and minimization of the mean absolute deviation (min MAD) for eac