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- W2269033710 abstract "The increase of consumer needs for quality metal cutting related products (more precise tolerances and betterproduct surface roughness) has driven the metal cutting industry to continuously improve quality control ofmetal cutting processes. Within these metal cutting processes, the end-milling process is one of the mostfundamental metal removal operations used in the manufacturing industry. The aim of the this study is todevelop the surface roughness prediction model for Hastelloy C-22HS with aid of statistical method, usingcoated carbide cutting tool under various cutting conditions. This material is superior materials for corrosionresistance which commonly used underwater applications such as submarine components and etc. Thisprediction model was then compared with the results obtained by experimentally. By using Response SurfaceMethod (RSM) of experiment, first and second order models were developed with 95% confidence level. Thesurface roughness was developed in terms of cutting speed, feed rate and axial depth using RSM and design ofexperiment. In general, the results obtained from the mathematical model are in good agreement with thatobtained from the experiment data’s. It was found that the feedrate, cutting speed and axial depth played a majorrole in determining the surface roughness. On the other hand, the surface roughness increases with a reductionin cutting speed." @default.
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- W2269033710 date "2009-01-01" @default.
- W2269033710 modified "2023-09-26" @default.
- W2269033710 title "The Effect of End Milling Parameters on Surface Roughness when Machining Corrosion Resistance Alloy" @default.
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