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Prof. AbdelKader AbdelKarim Ibrahim :: Publications:

Title:
Optimization of Surface Grinding Parameters Used in Improved Surface Integrity
Authors: M. M. Salem, A. A. Ibrahim, S. S. Mohamed
Year: 2022
Keywords: Optimization of surface grinding parameters, Surface roughness, Taguchi, ANOVA, SNR
Journal: International Research Journal of Innovations in Engineering and Technology (IRJIET)
Volume: Volume 6
Issue: Issue 5
Pages: pp 124-130
Publisher: IRJIET
Local/International: International
Paper Link:
Full paper AbdelKader AbdelKarim Ibrahim_IRJIET605015 (2).pdf
Supplementary materials Not Available
Abstract:

Surface grinding is one of the most extensively used procedures in industry for finishing materials. Different machining parameters have a great impact on a product's surface quality. While processing temperature increases and heat energy is generated, that may cause a few changes in the tool or work piece in chemical and physical properties. This will have an effect on the final product surface. Furthermore, numerous aspects of the machine, such as vibration, degree of freedom, and precise size, have an impact on the quality of the surface finish. The machining parameters, on the other hand, have a major role in determining the surface finish. The functional behavior of machined components can be enhanced by the grinding process, so proper selection of grinding wheel specifications and grinding parameters can result in improving the surface integrity. Because of this, understanding the surface integrity imparted by grinding is very important. This paper will display the results of an experimental study that were conducted to comprehensively investigate the effect of surface grinding input machining parameters on the formed surface quality. The experiments are running by changing the input machine parameters which are the feed rate, cutting speed, cooling method and depth of cut. The surface roughness and the cutting forces are the performance to be measured and assessed. It is concluded that the surface roughness (Ra) decreases with the increase in cutting speed and the coolant flow rate. But, as the feed rate and or the depth of cut increase the surface roughness (Ra) will also increase. The results of this investigation can be used to determine the optimal process parameters in order to obtain the required roughness quality of the produced surface in grinding of (ASTM A36) mild carbon steel.

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