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Thermal and Residual Stress Analysis of 6082/7005 Dissimilar Aluminum Alloy MIG Welding via Finite Element Simulation

Literature Overview

Published in the Journal of Anhui University of Science and Technology (Vol. 46, No. 1, 2026, pp. 36-45), this paper presents a numerical investigation of the temperature field and residual stress distribution during MIG welding of 6082/7005 dissimilar aluminum alloy joints. The research, conducted at Anhui University of Science and Technology, employs a sequentially coupled thermal-stress finite element approach in ABAQUS software. The work is directly relevant to automotive lightweighting efforts, where dissimilar aluminum alloy joints are increasingly used to combine the formability of 6082 with the higher strength of 7005.

Core Technical Points

Heat Source Model Development

The authors developed a sophisticated "Gaussian surface + cylinder + double ellipsoid" combined heat source model to accurately represent the complex heat input distribution in MIG welding. This multi-component heat source captures both the surface heat flux and the volumetric heat deposition characteristics of the MIG process. The model was validated by comparing simulated weld pool geometry with experimental observations, confirming the model's predictive capability.

The choice of a combined heat source is significant because MIG welding involves both surface heating (from the arc) and volumetric heating (from the penetration zone), and a single-component heat source cannot adequately represent both phenomena simultaneously.

Temperature Field Distribution

The simulation results reveal an asymmetric temperature distribution characteristic of dissimilar alloy welding:

Feature Observation
6082 side high-temperature zone Slightly larger than 7005 side
Temperature gradient Steeper on 7005 side
Peak temperature Comparable on both sides
Thermal influence zone Larger on 6082 side

The asymmetry arises from the different thermal properties of 6082 and 7005 aluminum alloys. The 6082 alloy, with its lower melting point and different thermal conductivity, exhibits a slightly more extended high-temperature region. This asymmetry has implications for residual stress development and potential distortion.

Residual Stress Distribution

The residual stress field exhibits the following characteristics:

Direction Stress Type Distribution Pattern
Longitudinal (weld direction) Predominantly tensile "Camel hump" shape along weld
Transverse (perpendicular) Predominantly compressive Asymmetric on both sides
Through-thickness Complex gradient Depends on constraint conditions

The "camel hump" pattern along the weld direction is a well-known feature of weld residual stress distributions, reflecting the constraint imposed by the cooler material ahead of and behind the welding arc. The asymmetry between the two sides reflects the different thermal and mechanical properties of 6082 and 7005 alloys.

Parameter Sensitivity Analysis

The study examined the effects of welding power (2035-2340 W) and welding speed (5-12.5 mm/s) on temperature and residual stress distributions:

Parameter Effect on Temperature Peak Effect on Residual Stress Peak Relative Influence
Welding Power (increasing) Increases Increases Moderate
Welding Speed (increasing) Decreases Decreases Stronger

A key finding is that the welding speed exerts a stronger influence on both temperature and residual stress peaks than welding power. This is because welding speed directly controls the heat input per unit length (Q = V × I / v, where V is voltage, I is current, and v is welding speed), whereas power alone does not account for the travel rate.

Engineering Practice Integration

For automotive engineers designing dissimilar aluminum alloy joints, this simulation study provides several actionable insights:

  1. Welding speed is the primary lever for stress control. Since welding speed has a stronger influence on residual stress than power, optimizing speed is the most effective strategy for minimizing stress concentration. Higher welding speeds reduce heat input per unit length, which in turn reduces thermal gradients and residual stresses.
  2. The asymmetric stress field must be accounted for in design. The different thermal and mechanical properties of 6082 and 7005 create an inherently asymmetric residual stress distribution. This asymmetry can lead to unpredictable distortion and may affect fatigue performance. Designers should consider whether stress-relief treatments or post-weld machining are necessary.
  3. The "camel hump" stress pattern has fatigue implications. The longitudinal tensile stress peaks along the weld direction represent potential sites for fatigue crack initiation. Engineers should consider whether weld toe geometry optimization or post-weld peening is necessary to mitigate this risk.
  4. Finite element simulation should be used in the design phase. The ability to predict residual stress distributions before physical welding is invaluable for optimizing joint design and process parameters. This study demonstrates that the combined heat source model provides sufficient accuracy for engineering predictions.
  5. Process parameter selection should prioritize higher welding speeds. Given the stronger influence of speed on stress reduction, the process should be designed to use the highest feasible welding speed that still achieves adequate penetration and fusion. This may require adjustments to power, gas flow, and wire feed rate.

Key Reflections

The finding that welding speed has a stronger influence on residual stress than welding power is somewhat counterintuitive but physically well-founded. In many welding process optimization exercises, power is treated as the primary control parameter. However, this study demonstrates that the travel rate is equally or more important because it directly determines the thermal input distribution along the weld length. This insight should inform future process development efforts.

The use of a combined heat source model is commendable, as it addresses a known limitation of simpler heat source models. The validation against experimental weld pool geometry provides confidence in the model's predictive capability. However, it is worth noting that the sequentially coupled approach does not account for the thermo-mechanical coupling effects that can be significant in aluminum alloy welding, where thermal expansion coefficients are relatively high and plastic deformation occurs at relatively low temperatures.

Summary

This finite element simulation study provides valuable insights into the thermal and residual stress behavior during MIG welding of 6082/7005 dissimilar aluminum alloy joints. The asymmetric temperature and stress distributions, the "camel hump" longitudinal stress pattern, and the stronger influence of welding speed over power on stress levels are all critical findings for automotive lightweighting design. The recommended strategy of using higher welding speeds to minimize stress concentration is both scientifically sound and practically implementable. For engineers designing dissimilar aluminum alloy joints, this work underscores the importance of numerical simulation in the early design phase and the need to account for the inherent asymmetry of dissimilar alloy welds in both process planning and structural design.