Bibliographic Details
| Title: |
INVESTIGATION OF MICROSTRUCTURE AND MECHANICAL PROPERTIES OF COLD METAL TRANSFERWELDED AA7075 JOINTS. |
| Authors: |
Venkatesh, R.1, Jayakumar, K.2 kjayakumar@ssn.edu.in |
| Source: |
Transactions of FAMENA. 2026, Vol. 50 Issue 2, p113-128. 16p. |
| Subjects: |
Welding, Welded joints, Tensile strength, Residual stresses, Aluminum alloys, Microstructure, Precipitation hardening, Mechanical behavior of materials |
| Abstract: |
This study investigates the mechanical performance and microstructural evolution of AA7075 aluminium alloy joints produced using the cold metal transfer process. Owing to its low heat input, cold metal transfer is well suited for welding heat-sensitive precipitation-hardened alloys prone to porosity, hot cracking, and strength loss. Response surface methodology with a central composite design was applied to quantify the effects of welding current (160 to 200 A), welding speed (100 to 140 mm/min), and wire feed speed (1000 to 2000 mm/min) on ultimate tensile strength. The resulting empirical model showed strong statistical significance and close agreement between predicted and experimental values. Microstructural analysis revealed the dissolution of dizinc magnesium precipitate, dendritic solidification, and inter-dendritic segregation in the fusion zone; partial over-ageing in the heat-affected zone; and the retention of the T6 structure in the base metal. Hardness decreased from 164-171 HV0.5 (the base metal) to 147-155 HV0.5 (the heat-affected zone) and 140-145 HV0.5 (the fusion zone). Validation using optimised parameters achieved an ultimate tensile strength of 366 MPa, matching the model prediction. Overall, the study confirms cold metal transfer as an effective technique for producing high-strength AA7075 welds with minimal thermal damage. [ABSTRACT FROM AUTHOR] |
|
Copyright of Transactions of FAMENA is the property of Faculty of Mechanical Engineering and Naval Architecture, University of Zegreb and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |