Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/1333
Title: Experimental Investigation & Optimization of Pulse Current TIG Welding Parameter For AA5052 & AA6063 Dissimilar Weld Joint
Authors: Chavda, Jaydeepkumar A.
Keywords: Aluminum
AA5052
AA6063
Pulsed Current TIG Welding
Welding Procedure Specification
Tensile Strength, Hardness
Response Surface Method
Issue Date: May-2023
Citation: Chavda, J. A. (2023). Experimental Investigation & Optimization of Pulse Current TIG Welding Parameter For AA5052 & AA6063 Dissimilar Weld Joint. Department of Mechanical Engineering Faculty of Engineering and Technology Atmiya University.
Abstract: The most essential kind of welding, particularly for the most challenging metals to weld, such as aluminum, is tungsten inert gas (TIG) welding. Aluminum alloys are now welded using the pulsed current TIG technique. The pulsed current TIG welding process is a modified version of TIG welding. Nowadays AA5052 and AA6063 dissimilar weld joints are used in different areas such as automobile and marine applications. This is why it needs to have significant mechanical properties and corrosion resistance.The most effective selection of the process parameters is essential for producing the desired mechanical and physical properties of the weldment.The ASME Section IX is used to choose the TIG welding's most important input parameters.In this research, the impact of various welding parameters such as Peak current, Base current, and Pulse per second is chosen.For dissimilar welding of AA5052 and AA6063, 8mm thick plate joints, ER4043 filler wire is utilized in this project work.To examine the mechanical properties and weld strength of the weld joints, respectively, a tensile test is performed. Regression analysis and central composite design (CCD)are used to determine the input parameter that has the greatest impact on the final result. The response surface optimizer optimizes the selected parameters. Once the optimization is complete, evaluate the final result. UtilizingDESIGN EXPERT software for experiment design, the response surface method is applied for optimization.
URI: http://10.9.150.37:8080/dspace//handle/atmiyauni/1333
Appears in Collections:M.TECH ME Student Dissertation

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