Prediction of Surface Roughness and Feed Force in Milling for Some Materials at High Speeds

Omar Monir Koura^1, and Tamer Hassan Sayed²

¹Mechanical Department, Faculty of Engineering, Modern University for Technology & Information, Egypt

²Design & Prod. Eng. Department, Faculty of Engineering, Ain Shams University, Egypt

Cite this paper:
Omar Monir Koura and Tamer Hassan Sayed. Prediction of Surface Roughness and Feed Force in Milling for Some Materials at High Speeds. American Journal of Mechanical Engineering. 2015; 3(1):1-6. doi: 10.12691/ajme-3-1-1

Abstract

Machining at relatively high speed perform differently than when traditionally cutting speeds are used. High speed machining affects to a great extent the quality of the manufactured products. The effects differ from material to another. The aim of the present paper is to compare the quality of the machined parts at different cutting speed ranges. The study covers several engineering materials. Neural Network techniques was applied in the prediction of both the resulted surface roughness and the developed feed forces.

Keywords:
high speed cutting cutting conditions roughness and tool wear artificial neural network

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