A Proposed statistical model for surface quality prediction in end-milling of A1 alloy

✍ Scribed by Kuang-Hua Fuht; Chin-Fu Wu

• Publisher: Elsevier Science
• Year: 1995
• Tongue: English
• Weight: 756 KB
• Volume: 35
• Category: Article
• ISSN: 0890-6955
• DOI: 10.1016/0890-6955(95)90408-e

✦ Synopsis

Almtraet--The surface quality--including residual stress, surface roughness, and work hardening--of workpieces machined by end-milling results from the cutting conditions and tool geometries. The parameters considered in the present work are the cutting speed, feed, depth of cut, tool nose radius and flank width. The analyses of the data and the building model are carried out using the Takushi method and the response surface methodology (RSM). Variance analyses and experimental examinations are conducted to find the prominent parameters and to determine the adequacy of the model. It is shown that the cutting speed, feed, tool nose radius, and flank width have significant effects on the residual stresses and there is an interaction between the cutting speed and the flank width; that the surface roughness is affected by the tool nose radius and feed; and that these parameters do not exert a significant influence on the work hardening. There is a good correlation between the experimental and the predicted results derived from the model.