Abstract
Problem statement: In die and mold industries, surface roughness of the dies and molds produced will determine the end product quality. Therefore, the desired finish surface was specified and the appropriate processes were selected to reach the required quality. Among many contributors to surface quality problem, backcutting is one of the factors influencing the surface roughness. Approach: The aim for current research was to study the backcutting phenomena and their effect to the surface roughness of work material, AISI H13 with hardness of 48 HRC during high speed end milling. Machining performed on the Vertical Milling Centre (VMC) high cutting speed from 150-250 m min-1, feed rate 0.05-0.15 mm tooth-1 and depth of cut 0.1-0.5 mm. The analysis and observation of the backcutting phenomena are done by using optical surface roughness machine. Results: The result shown that the pattern of surface roughness was not sufficient enough to compare between the surface with backcutting and without backcutting and the backcutting phenomena were seen mostly in combination of medium to high cutting speed and medium to high feedrate. Conclusion/Recommendations: Further research is needed with incrimination of experiments and adjustments of parameters.
Highlights
In industrial machining processes, milling is a fundamental machining operation and end milling is the most common metal removal operation encountered
In production of molds and die, the qualities of machined parts are determined by their surface roughness and the form accuracy
The experiments for this research were performed on AISI H13 at Hardness of 48 Rockwell Hardness (HRC) as work material
Summary
In industrial machining processes, milling is a fundamental machining operation and end milling is the most common metal removal operation encountered. Some other works focused on analyzing the contribution to surface imperfections of the cutting efforts originated during chip removal (Omar et al, 2007; Tang et al, 2009; Ryu et al, 2006; Schmitz et al, 2007), as well as developing theoretical and artificial intelligence models to describe dimensional imperfections in machined surface (Franco et al, 2004; 2008; Lee et al, 2001) Authors such as (Omar et al, 2007; Ryu et al, 2006); Schmitz et al, 2007; Franco et al, 2004; 2008) studied tool errors and milling machine deviations, greater effort is required for explaining and modeling relations between these factors and the dimensional accuracy of the final part
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
