Title :
Research on Predictive Model Surface Roughness in High Speed Milling for Aluminum Alloy 7050-T7451
Author :
Xiuli, Fu ; Yongzhi, Pan ; Yi, Wan ; Xing, Ai
Author_Institution :
Dept. of Mech. Eng., Univ. of Jinan, Jinan, China
Abstract :
Surface roughness is one of important factors in the evaluation of machine tool and machining process. It is greatly influenced by cutting conditions in cutting. In this paper a series of cutting experiments have been carried out to study on the predictive model and control of surface roughness in high speed milling aviation aluminum alloy 7050-T7451. The surface roughness is greatly influenced by cutting parameters (cutting speed, feed rate, depth and width of cut, etc). The surface roughness is particularly sensitive to the feed rate and slightly sensitive to the width of cut. Finally, the optimization of cutting conditions was presented to control desired surface roughness and maximum material removal rate.
Keywords :
aerospace materials; aluminium alloys; cutting; cutting tools; milling; quality control; surface roughness; AlJkJk; aviation aluminum alloy 7050-T7451; cutting conditions; highspeed milling; machine tool evaluation; machining process evaluation; predictive model; surface roughness control; Aluminum alloys; Feeds; Machining; Material properties; Mechanical engineering; Milling; Predictive models; Rough surfaces; Surface roughness; Testing; 7050-T7451; cutting parameters; predictive model; surface roughnes;
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-4026-9
DOI :
10.1109/CCIE.2010.165