Paper Details

Metal machining has been a very important activity in manufacturing. Machining conditions play asignificant role in governing the performance of machining operations. It has long been recognized that themachining conditions, such as cutting speed, feed and depth of cut affect the performance of the operation to agreater extent. These parameters should be selected to optimize the quality of machining operation. This can beachieved using design of experiments (DOE). The objective of the present work is to assess the effects of themachining parameters in milling on the material removal rate of AISI H13 steel. This material is used in themanufacturing 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 CNCvertical milling machine. Design of experiments based on Taguchi grey relational analysis with threeindependent factors (cutting speed, feed rate and depth of cut), three levels L27 orthogonal array has been usedto 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 wereinvestigated This research paper would be beneficial for manufacturing industry where metal removal rate plays veryvital roles like in die casting, and other manufacturing operations.

Rahul Kumar, Kiran Dhull, “TO STUDY THE INFLUENCE OF MILLING PARAMETERS ON MATERIAL REMOVAL RATE OF AISI H13 BY ANOVA”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 2, pp. 44-50, February 2016.