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An Experimental Study on Influence of Coolants in Down Milling of AMMC using Ti-N coated HSS Cutter


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1 Dept. of Mechanical Engineering, Sri Venkateswara University College of Engineering, Tirupati, Andhra Pradesh, India
     

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In recent years, many researchers and authors have been investigating various aspects of Aluminium Metal Matrix composites (AMMC) because of their combined mechanical and thermal properties. It becomes a significant task to study the behaviour of AMMC during machining. By observing previous approaches on AMMC, machining of composites is very difficult under normal conditions. During milling process of AMMC using Ti-N coated HSS cutter, some problems arise because of the reinforced particles fabricated in it. High temperatures and poor surface quality were observed at shear zone during machining.

In this context, Aluminium metal matrix composite material is selected as Al- 6061+ 2% Al2O3 and Titanium Nitride (Ti-N) coated HSS helical milling cutter having a size more than composite work piece is selected. The input parameters were taken as speed, feed rate, depth of cut in a range of low, medium and high and coolants are Dry, soluble oil and veg. oil to perform the experiment. Because of various applications and reliable properties of AMMC in advance manufacturing systems, nanotechnology, mechatronics, cryogenics etc., the output parameters were selected as temperature (T) and surface roughness (Ra). Afterwards, Taguchi design of experiments L18 is adopted for the experiment. The values of temperature and surface roughness are noted and the optimal input machining conditions are found by using Fuzzy- Taguchi optimization technique with reference to normalized values followed by their corresponding S/N ratios of output parameters.

The effective optimum results were found by using Fuzzy- Taguchi technique and the variation between experimental and Fuzzy predicted data has been compared and concluded.


Keywords

Aluminium Metal Matrix Composite (AMMC), Slab Milling, Talysurf Meter, Laser Thermometer, Fuzzy-Taguchi Method.
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  • An Experimental Study on Influence of Coolants in Down Milling of AMMC using Ti-N coated HSS Cutter

Abstract Views: 248  |  PDF Views: 4

Authors

S. Dadakhalandar
Dept. of Mechanical Engineering, Sri Venkateswara University College of Engineering, Tirupati, Andhra Pradesh, India
G. Bhanodaya Reddy
Dept. of Mechanical Engineering, Sri Venkateswara University College of Engineering, Tirupati, Andhra Pradesh, India
P. Venkataramaiah
Dept. of Mechanical Engineering, Sri Venkateswara University College of Engineering, Tirupati, Andhra Pradesh, India
M. S. Sukumar
Dept. of Mechanical Engineering, Sri Venkateswara University College of Engineering, Tirupati, Andhra Pradesh, India

Abstract


In recent years, many researchers and authors have been investigating various aspects of Aluminium Metal Matrix composites (AMMC) because of their combined mechanical and thermal properties. It becomes a significant task to study the behaviour of AMMC during machining. By observing previous approaches on AMMC, machining of composites is very difficult under normal conditions. During milling process of AMMC using Ti-N coated HSS cutter, some problems arise because of the reinforced particles fabricated in it. High temperatures and poor surface quality were observed at shear zone during machining.

In this context, Aluminium metal matrix composite material is selected as Al- 6061+ 2% Al2O3 and Titanium Nitride (Ti-N) coated HSS helical milling cutter having a size more than composite work piece is selected. The input parameters were taken as speed, feed rate, depth of cut in a range of low, medium and high and coolants are Dry, soluble oil and veg. oil to perform the experiment. Because of various applications and reliable properties of AMMC in advance manufacturing systems, nanotechnology, mechatronics, cryogenics etc., the output parameters were selected as temperature (T) and surface roughness (Ra). Afterwards, Taguchi design of experiments L18 is adopted for the experiment. The values of temperature and surface roughness are noted and the optimal input machining conditions are found by using Fuzzy- Taguchi optimization technique with reference to normalized values followed by their corresponding S/N ratios of output parameters.

The effective optimum results were found by using Fuzzy- Taguchi technique and the variation between experimental and Fuzzy predicted data has been compared and concluded.


Keywords


Aluminium Metal Matrix Composite (AMMC), Slab Milling, Talysurf Meter, Laser Thermometer, Fuzzy-Taguchi Method.