TO STUDY THE INFLUENCE OF MILLING PARAMETERS ON MATERIAL REMOVAL RATE OF AISI H13 BY ANOVA

Abstract

Metal machining has been a very important activity in manufacturing. Machining conditions play a
significant role in governing the performance of machining operations. It has long been recognized that the
machining conditions, such as cutting speed, feed and depth of cut affect the performance of the operation to a
greater extent. These parameters should be selected to optimize the quality of machining operation. This can be
achieved using design of experiments (DOE). The objective of the present work is to assess the effects of the
machining parameters in milling on the material removal rate of AISI H13 steel. This material is used in the
manufacturing industries for making die casting moulds, extrusion dies, moulds for glass industry, punches,
piercing tools, mandrels etc. In the present study the machining experiments were conducted on CNC
vertical milling machine. Design of experiments based on Taguchi grey relational analysis with three
independent factors (cutting speed, feed rate and depth of cut), three levels L27 orthogonal array has been used
to develop relationships for predicting material removal rate. The material removal rate is calculated by formula.
Model significance tests were conducted using ANOVA techniques and effects of various parameters were
investigated This research paper would be beneficial for manufacturing industry where metal removal rate plays very
vital roles like in die casting, and other manufacturing operations.