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Optimization of Pulsed GTAW Process Parameters to Obtain Maximum Tensile Strength in AA7075-T6 Aluminium Alloy


Affiliations
1 Welding Research Center, KLS VDIT, Haliyal, India
2 Department of Mechanical Engineering, SDMCET Research Center, Dharwad, India
     

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The mathematical model is developed to predict pulsed gas tungsten arc welded (GTAW) joints of AA 7075-T6 aluminium alloy. The mathematical model is developed by incorporating the process parameters like peak current, base current, welding speed, and pulse on time. All the experiments were conducted on the basis of four factors, four levels Composite Design Matrix. In this study an attempt is made to develop mathematical model by preplacing the filler wire in to the weld groove. The optimized GTAW process parameters illustrate that improvement in the tensile properties of welded joints. A mathematical model were developed at 95% confidence level and tested for adequacy. The developed model can be used in industry for predicting tensile strength of AA 7075-T6 aluminium alloy joints. The results shows that welding speed greatest influence on tensile strength subsequently with peak current, pulse on time, and base current when filler wire placed in to the weld groove before starting the welding.

Keywords

Gas Tungsten Arc Welding Method (GTAW) AA7075-T6 Aluminium Alloy, Response Surface Methodology, Central Composite Design Matrix, Ultimate Tensile Strength, Optimization.
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  • Alcoa mill products, Bettendorf, IOWA 52722,(800)523-9596,www.millproductsalcoa.com

  • Akula, Deepa Reddy: Characterization of Mechanical properties and study of microstructures of stir welded joint fabricated from similar and dissimilar alloys of aluminium” PhD thesis”. University Of Missouri, Columbia, 2007.

  • Balasubramanian, MV; Jayabalan and Balasubramanian, V: Prediction and Optimization of Pulsed Current Gas Tungsten Arc Welding Process Parameters to Obtain Sound Weld Pool Geometry in Titanium Alloy Using Lexicographic Method, 'Journal of Materials Engineering and Performance', vol. 18 (7), October 2009, 871.

  • Balasubramanian, M, Jayabalan, V; Balasubramanian, V: Effect of process parameters of pulsed current tungsten inert gas welding on weld pool geometry of titanium welds, 'Acta Metall. Sin.(Engl. Lett.)', vol. 23, no. 4, 312-320, August 2010.

  • Benyounis, KY; Olabi, AG: Optimization of different welding processes using statistical and numerical approaches – A reference guide, 'Advances in Engineering Software', 39, 2008, 483-496.

  • Ben-Hamu, G; Eliezer, D; Cross, CE; Th. Bollinghaus: The relation between microstructure and corrosion behavior of GTA welded AZ31B magnesium sheet, 'Materials Science and Engineering A', 452-453, 2007, 210-218.

  • Box, GEP; Hunter, WH; Hunter, JS: Stastics for Experiments, New York, John Wiley Publications, 1978.

  • Hassan, Ezzeddin, Mohamed : Feasibility and Optimization of Dissimilar Laser Welding Components”. Ph. D Thesis, Dublin City University, 2008.

  • Huang, C and Kou, S: Partially Melted Zone in Aluminum Welds: Liquation Mechanism and Directional Solidification, 'Welding Journal', vol 79, no. 5, 2000, 113s-120s

  • Huang, C and Kou, S: Partially Melted Zone in Aluminum Welds: Solute Segregation and Mechanical Behavior, 'Welding Journal', vol. 80 no.1, 2001, 9s-17s.

  • Huang, C and Kou, S: Partially Melted Zone in Aluminum Welds: Planar and Cellular Solidification, 'Welding Journal', vol. 80, no. 2, 2001, 46s-53s.

  • Huang, C and Kou, S: Liquation Mechanisms in Multi-Component Aluminum Alloys During Welding, 'Welding Journal', vol 81, no. 10, 2002, 211s-222s.

  • Kumar, A; Sundarrajan, S; Optimization of pulsed TIG welding process parameters on mechanical properties of AA 5456 Aluminum alloy weldments, Materials and Design 30, 2009, 1288-1297.

  • Kumar Sudhir; Pradeep Kumar; Shan, HS: Effect of evaporative pattern casting process parameters on the surface roughness of Al–7% Si alloy castings, Journal of Materials Processing Technology, 182, 2007, 615-623.

  • Li, Leijun; Orme, Kevin; and Yu, Wenbin: Effect of Joint Design on Mechanical Properties of AL7075 Weldment, 'Journal of Materials Engineering and Performance', vol. 14 (3), June 2005-323.

  • Bernard, Mannion and Heinzman, Jack: Determining parameters for GTAW, Article published in the July/August 1999 issue of Practical Welding Today.

  • Montgomery, DC: Design and Analysis of Experiments, New York: John Wiley & Sons 2001.

  • Nadkarni, SV : Modern Arc Welding Technology, 1988, New Delhi, India: IBH Publication.

  • Senthil Kumar, T; Balasubramanian, V; Sanavullah, MY: Influences of pulsed current tungsten inert gas welding parameters on the tensile properties of AA 6061 aluminium alloy, 'J Mater Materials and Design', 28, 2007, 2080-2092


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  • Optimization of Pulsed GTAW Process Parameters to Obtain Maximum Tensile Strength in AA7075-T6 Aluminium Alloy

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Authors

K. S. Pujari
Welding Research Center, KLS VDIT, Haliyal, India
D. V. Patil
Department of Mechanical Engineering, SDMCET Research Center, Dharwad, India
Gurunath Mewundi
Welding Research Center, KLS VDIT, Haliyal, India
Prajakta S. Patil
Welding Research Center, KLS VDIT, Haliyal, India

Abstract


The mathematical model is developed to predict pulsed gas tungsten arc welded (GTAW) joints of AA 7075-T6 aluminium alloy. The mathematical model is developed by incorporating the process parameters like peak current, base current, welding speed, and pulse on time. All the experiments were conducted on the basis of four factors, four levels Composite Design Matrix. In this study an attempt is made to develop mathematical model by preplacing the filler wire in to the weld groove. The optimized GTAW process parameters illustrate that improvement in the tensile properties of welded joints. A mathematical model were developed at 95% confidence level and tested for adequacy. The developed model can be used in industry for predicting tensile strength of AA 7075-T6 aluminium alloy joints. The results shows that welding speed greatest influence on tensile strength subsequently with peak current, pulse on time, and base current when filler wire placed in to the weld groove before starting the welding.

Keywords


Gas Tungsten Arc Welding Method (GTAW) AA7075-T6 Aluminium Alloy, Response Surface Methodology, Central Composite Design Matrix, Ultimate Tensile Strength, Optimization.

References