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Hasan Oktem, Tuncay Erzurumlu and Fehmi Erzincanli, Prediction of minimum surface roughness in end milling mold parts using neural network and genetic algorithm, Materials and Design 27 (2006) 735-744.

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Article

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

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

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


American Journal of Mechanical Engineering. 2015, Vol. 3 No. 1, 1-6
DOI: 10.12691/ajme-3-1-1
Copyright © 2015 Science and Education Publishing

Cite this paper:
Omar Monir Koura, 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.

Correspondence to: Omar  Monir Koura, Mechanical Department, Faculty of Engineering, Modern University for Technology & Information, Egypt. Email: koura_omar@yahoo.com

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.

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