APPLICATION OF FUZZY GREY RELATIONAL ANALYSIS (FGRA) METHOD TO ANALYZE THE EFFECT OF CUTTING CONDITIONS ON SURFACE ROUGHENING WHEN HIGH-SPEED MILLING

Abstract

The paper analyses and evaluates the effect of cutting parameters on surface
roughness in the milling process of SKD61 steel materials after heat treatment
(hardness of 53 HRC). Application of the Taguchi method to build experimental
matrix, Fuzzy Grey Relation Analysis method (FGRA) and Analysis of Variance
(ANOVA) method to analyze the influence of cutting conditions on surface
roughness when milling dry and wet milling. The surface roughness results in wet
and dry milling of three factors (depth of cut (t), feed rate (S), cutting speed (v)) are
0.7527, respectively; 0.7869; 0.6302 and 0.8167, 0.7199; 0.6040. High-speed
milling process of materials with high hardness when wet milling the feed rate has
the most influence on the surface roughness. While in dry milling, the depth of cut
has the most impact on the surface roughness. Both dry and wet milling methods
show that cutting speed has the slightest effect on surface roughness.