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Investigation of Surface Roughness on Hybrid Composites using Stir Casting Technique

P. Saritha*, A. Satyadevi**, P. Ravikanth Raju***

*_** Department of Mechanical Engineering, GITAM University, Hyderabad, Telangana, India.

*** Department of Mechanical Engineering, Anurag Group of Institutions, Hyderabad, Telangana, India.

Periodicity:May - July'2019
DOI : https://doi.org/10.26634/jme.9.3.15891

Abstract

This paper brings out the results of hybrid composites produced by stir casting process. The material which is stir casted are processed by facing and turning operation using CNC machine in which turning, facing, step turning and milling operation are carried without changing the tools and workpiece in one setup. The metal removal takes place by varying speed and feed of the machine on work pieces. For modeling and enhancing performance of manufacturing technologies numerical methods are used. Optimum machining parameters plays a significant role in deciding the economy of work piece. The present work is aimed to find the optimal process parameters of hybrid composites during turning procedure. As it has wide applications in space and bearings this composites has been taken as work materials. To know the ideal process parameters, intellectual assessment tools are applied. In this work the Surface Roughness (R_a) of the three sample work pieces of hybrid composites were prepared by keeping 3% molybdenum disulphide constant and 5%, 10%, 15% varying silicon carbide reinforced with Al7075. The experiment have been planned according to Taguchi's L9 (3)³ .

Keywords

Hybrid Composites, Surface Roughness (Ra), Taguchi Method, CNC Mort Seike NL 2000 Machine.

How to Cite this Article?

Saritha, P., Satyadevi, G., and Raju, P. R. (2019). Investigation of Surface Roughness on Hybrid Composites using Stir Casting Technique. i-manager’s Journal on Mechanical Engineering, 9(3), 26-31. https://doi.org/10.26634/jme.9.3.15891

References

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Investigation of Surface Roughness on Hybrid Composites using Stir Casting Technique

Abstract

Keywords

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