Supervisor
Prof. Surjya K PalProf. Shiv B SinghDoctoral Research Problem
Numerical modeling and validation of friction stir welding with different tool configurations
Research Statement
Study of material flow mechanism, forces and defect formation during FSW process are important as it could help in proper selection of process parameter and pin design. Their experimental study is exhaustive due to lots of post weld analyses. Numerical modeling could be an efficient method to study the material flow and defect formation. This will reduce the cost associated for material and development of infrastructure. In the current research work two different three-dimensional thermo-mechanical models are developed to simulate FSW.
(a) A three dimensional thermo-mechanically coupled model was developed based on Lagrangian theory. The developed model is used to model FSW for AA2024 and AA6061 aluminum alloys. For AA2024 material, the model is validated with the forces and spindle torque data obtained from the literature. Two different pin shapes viz. conical and threaded conical are compared in terms of forces, material flow, material velocity, effective strain and strain rate. Threaded conical pin produced higher deformation and vertical flow of the material among the two. For AA6061 material, in-house experiments are performed to validate the model with temperature, force and spindle torque. Three different pin shapes, namely, cylindrical, triflat and square are compared. For flat pin surfaces bulk material flow is prominent, while shearing or layer by layer material flow is more prominent for cylindrical pin. Distribution of the material is uniform across the stirred region for the triflat pin while it is stretched towards the advancing side for the square pin.
(b) Prediction of defect using Lagrangian model is difficult as void cannot be introduced in it. Therefore, another model based on coupled Eulerian Lagrangian is developed to predict the defect formation. The defect prediction is based on volume of fluid principle. Effect of tilt angle on defect formation is studied and simulation predicted defect is compared with the experiments. The developed model accurately predicted the defective as well as defective weld.
Indusrial Application
1. The developed model will help industry to pick the efficient tool geometry that will produce higher weld strength.
2. The model developed based on coupled Eulerian Lagrangian method can predict the defective or non-defective weld based on input process parameter.
3. This will reduce a lot of experimental requirement to come up with optimized process parameters.
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