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High Speed Machining of Al-SiC (20p) MMC Using PCD Inserts


Affiliations
1 Dept. of Mech. Engg., Sri Venkateswara College of Engineering, Sriperumbudur, India
2 GTRE (DRDO), Bangalore, India
3 XLRI, Jamshedpur, India
4 JNTU College of Engineering, Anantapur, India
5 BSA Crescent Engineering College, Chennai, India
     

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Aluminium Silicon Carbide (Al.SiC) metal matrix composite (MMC) materials have a set of mechanical and physical properties that are ideally suited for applications in aerospace, automobile industries. Despite the superior set of mechanical and physical properties, the usage of MMC's in industry is still limited owing to difficulties in machining. To overcome this barrier, this paper performs a thorough study about the machinability of Al-SiC (MMC) with PCD insert tool to establish machining guidelines.The focus of the investigation is to determine the optimum machining conditions by adjusting the spindle speeds, depth of cut and feed, and observing the corresponding behaviour of cutting force, surface imperfections, power consumed, and MRR. The worn out tool is subjected to microscopic analysis to evaluate the wear on the tool.On completion of the experimental test, an artificial neural network (ANN) is used to validate the results obtained and also to predict the behaviour of the system under any condition within the operating range.
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  • High Speed Machining of Al-SiC (20p) MMC Using PCD Inserts

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Authors

N. Muthukrishnan
Dept. of Mech. Engg., Sri Venkateswara College of Engineering, Sriperumbudur, India
Varun Krishnakumar
GTRE (DRDO), Bangalore, India
S. Kailash
XLRI, Jamshedpur, India
K. Prahlada Rao
JNTU College of Engineering, Anantapur, India
M. Murugan
BSA Crescent Engineering College, Chennai, India

Abstract


Aluminium Silicon Carbide (Al.SiC) metal matrix composite (MMC) materials have a set of mechanical and physical properties that are ideally suited for applications in aerospace, automobile industries. Despite the superior set of mechanical and physical properties, the usage of MMC's in industry is still limited owing to difficulties in machining. To overcome this barrier, this paper performs a thorough study about the machinability of Al-SiC (MMC) with PCD insert tool to establish machining guidelines.The focus of the investigation is to determine the optimum machining conditions by adjusting the spindle speeds, depth of cut and feed, and observing the corresponding behaviour of cutting force, surface imperfections, power consumed, and MRR. The worn out tool is subjected to microscopic analysis to evaluate the wear on the tool.On completion of the experimental test, an artificial neural network (ANN) is used to validate the results obtained and also to predict the behaviour of the system under any condition within the operating range.