Master of Science
Kane, George E.
The prediction of the depth of hardness in terms of power density and scanning rate has been one of the central problems of interest in induction hardening of cylindrical parts like Axel Shafts, Piston Pins, Torsion Bars and King Pins. In this thesis an empirical relationship is developed that can be used to predict the depth of hardness for AISI C 1045 normalized steel once the hardening conditions have been selected and without the necessity of conducting a trial hardening operation, thus saving electrical power, generator and scanning machine time.
Shah, Parimal P., "An empirical formula for predicting the depth of hardness durign induction hardening" (1970). Theses and Dissertations. 3830.