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Optimization of Turning Parameters by using Taguchi Method and Analysis of Variance (ANOVA) for Turning of Aluminium Alloy Al7068 With Varying Zinc Composition

Amardeepak M.*, Narayan B Doddapattar **, Sanjeeva Murthy ***

*-** Cambridge Institute of Technology (North Campus), Bangalore, Karnataka, India.

*** Department of Mechanical Engineering, Sri Siddhartha Institute of Technology, Tumkur, Karnataka, India.

Periodicity:July - September'2020
DOI : https://doi.org/10.26634/jms.8.2.16971

Abstract

Aluminium and its alloys have high strength to weight ratio and are used for variety of applications like automobile industries, aerospace and structural applications, electronic circuits, etc. The manufacturing industry has witnessed significant increase in the use of aluminium alloys due to their unique characteristics of good strength and light weight. Other important properties of aluminium alloys include high thermal and electrical conductivity, good corrosion resistance, low melting point, excellent formability, etc. The present work deals with optimization of process parameters for turning of aluminium alloy Al7068 by varying the composition of Zinc in the alloy. There are different methods for process parameter optimization like Taguchi technique, ANOVA method, fuzzy logic, Response Surface Methodology, etc., but Taguchi technique and ANOVA method are widely used. Taguchi method helps to determine optimal condition with lesser number of experiments. ANOVA approach gives which process parameters have a significant influence on the machining response/outputs. Turning experiments were conducted on a ULTRA LYNX CNC machine. The coolant Ipol Aqua cut 125 has been used for turning operation. Taguchi’s L16 Orthogonal Array has been used to conduct turning experiments on the aluminium Al7068 alloy with varying Zn% composition to get the optimized values of the turning parameters. The turning parameters selected were feed, speed, depth of cut, tool nose radius and material composition which were varied in 4 levels. ANOVA (Analysis of Variance) has been performed to validate the results. The percentage contribution of the turning process parameters on machining outputs such as surface roughness, material removal rate, machining time, machining force and machining power has been determined. ANOVA results indicate that material composition has the highest contribution on surface roughness, material removal rate, machining time, machining force and machining power.

Keywords

Aluminium Alloy, Magnesium, Zinc, Optimization, Turning Parameters, Taguchi Method, ANOVA.

How to Cite this Article?

Amardeepak, M., Doddapattar, N. B., and Murthy, S. (2020). Optimization of Turning Parameters by using Taguchi Method and Analysis of Variance (ANOVA) for Turning of Aluminium Alloy Al7068 With Varying Zinc Composition. i-manager's Journal on Material Science, 8(2), 16-22. https://doi.org/10.26634/jms.8.2.16971

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