• Venkobarao Ambareesh
• P. Kumar
• G. Suresh

Aluminum composites have gained a lot of interest in the material manufacturing world replacing the applications of ferrous materials. It is widely used in aerospace, space craft, and army and navy applications as it is moderate strength and less weight material. It is three times less in weight when compared to ferrous materials. The density of aluminum alloy is 2.7g/cm3 whereas a ferrous material has 7.87g/cm3. Also compared to iron the Aluminum composite has good corrosion resistant properties making it the most suitable for the replacement to ferrous materials. Optimizing the machinability parameters is essential to maintain accuracy of the components and obtain the cost effectiveness. The main parameters in machining process are feed rate, depth of cut and speed. Cutting force, surface roughness and tool wear are considered as important response to control dimensional accuracy of the components. The main objective of the project is to optimize the machining parameters to minimize cutting force, flank wear and surface roughness in turning of AA6061-AlN composite material with various reinforcement ratios. Experimentation was conducted by using L27 layout. Taguchi method is applied to optimize the machining parameters. Analysis of the result shows that the feed rate has strongest effect on cutting forces and surface roughness whereas reinforcement ratio has strongest effect on flank wear.

Turning, wear, cutting force, AlN composites, optimization.

"OPTIMIZATION OF THE TURNING PARAMETERS IN MACHINING OF AA6061-AlN COMPOSITES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.e154-e162, January-2024, Available :http://www.jetir.org/papers/JETIR2401419.pdf

"OPTIMIZATION OF THE TURNING PARAMETERS IN MACHINING OF AA6061-AlN COMPOSITES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppe154-e162, January-2024, Available at : http://www.jetir.org/papers/JETIR2401419.pdf