Friction stir welding (FSW) is a solid-state joining process that offers advantages over traditional fusion welding. The amount of heat generated during a FSW process greatly influences the final properties of the weld. The heat is generated through two main mechanisms: friction and plastic deformation, with friction being the larger contributor in a FSW process. There is a need to develop better predictive models of the heat generation and heat transfer in FSW. Almost all models seen in the literature validate temperature predictions on only one side of the tool/workpiece interface, thus ignoring possible inaccuracy that comes from incorrect partitioning of heat generated by friction. This work seeks to model and validate both sides of the interface by matching experimental results for both the plunge and steady state phases of FSW for AA 6061-T6. Proper model validation allowed for a study of the sensitivity of the model predictions to changes in the friction coefficient and heat transfer coefficient at the tool/workpiece interface. Most models in the literature use the Coulomb friction law with a fixed friction coefficient, even though the Norton law better incorporates local material behavior. As such, for the plunge phase of FSW, a method for achieving a time dependent friction coefficient was developed and employed to match experimental temperatures, using Norton's viscoplastic friction law. A friction coefficient of 0.65 was used at the start of the plunge phase, decreasing to 0.08 during the steady state phase. This decrease in magnitude from plunge to steady state is similar to the decrease of the Coulomb friction coefficient calculated by Meyghani et al in a 2017 study. Tuning the models resulted in temperature predictions that differed from experimental measurements by no more than 1.5 percent for the non-steady state plunge and by no more than 9 percent for the steady state simulation. For both models, changes in the heat transfer coefficient had a large effect on tool temperature and very little effect on workpiece temperatures. Increasing the friction coefficient led to a proportional increase in temperature for both the tool and workpiece.

The performance of a coupled viscoplastic model of FSW has been evaluated over a variety of tool RPMs and feed rates. Initial results suggested that further optimization of the material parameters and an additional ability to model the thermal recovery of the material would improve the overall performance of the model. Therefore, an experimental/numeric approach was taken to improve and quantitatively compare the performance of the model based upon the thermal profile of the workpiece. First, an experimental method for obtaining real-time temperature measurements during Friction Stir Processing (FSP) of 304L Stainless Steel was developed. The focus of the method was to ensure that the obtained temperatures were both accurate and repeatable. The method was then used to obtain thermal cycle data from nine welds, each at different operating conditions ranging in tool rotational speed from 300 to 500 RPMs and in feed rate from 0.85 to 2.54 mm/s (2 - 6 in/min). Then a family of nine numerical models was created, each model corresponding to one welding condition. The performance due to improved convergence stability and the added thermal recovery term are also discussed. A gradient following technique was used to optimization and iteratively adjust nine material parameters to minimize the difference between the numerical and experimental temperature for the whole family of models. The optimization decreased the squared error between the numerical and measured temperatures by 76%. Recommendations are also made that may allow the optimization method to return greater dividends.

A Lagrangian finite-element model of the plunge phase of the friction stir welding process was developed to better understand the plunge. The effects of both modeling and experimental parameters were explored. Experimental friction stir plunges were made in AA 7075-T6 at a plunge rate of 0.724 mm/s with spindle speeds ranging from 400 to 800 rpm. Comparable plunges were modeled in Forge2005. Various simulation parameters were explored to assess the effect on temperature prediction. These included the heat transfer coefficient between the tool and workpiece (from 0 to 2000 W/m-K), mesh size (node counts from 1,200 to 8,000), and material model (five different constitutive relationships). Simulated and measured workpiece temperatures were compared to evaluate model quality. As spindle speed increases, there is a statistically significant increase in measured temperature. However, over the range of spindle speeds studied, this difference is only about 10% of the measured temperature increase. Both the model and the simulation show a similar influence of spindle speed on temperature. The tool-workpiece heat transfer coefficient has a minor influence (<25% temperature change) on simulated peak temperature. Mesh size has a moderate influence (<40% temperature change) on simulated peak temperature, but a mesh size of 3000 nodes is sufficient. The material model has a high influence (>60% temperature change) on simulated peak temperature. Overall, the simulated temperature rise error was reduced from 300% to 50%. It is believed that this can be best improved in the future by developing improved material models.

Friction stir welding (FSW) has been studied extensively for the past two decades. Thermal modeling has been of particular interest, as the quality of the weld is dependent upon the temperature history of the work piece during the process. Since direct temperature measurements of the welded zone are not possible, an analytical model was developed to predict the temperature in this area. This model requires parameters that cannot be easily experimentally determined, so a best fit for these parameters was acquired via regression analysis by comparing the model to experimental data acquired outside of the weld zone. The model was then validated by comparing it to additional temperature data, not including the data used for regression analysis.

In friction stir welding, the temperature of the process zone affects the properties of the resulting weld and has a dramatic effect on tool life in PCBN (polycrystalline cubic boron nitride) tools. Therefore an active control system that changes process parameters to control weld temperature is desirable. Mayfield and Sorensen proposed a two-stage control model that contains an inner loop that controls the spindle speed to keep power constant and an outer loop for setting the desired power based on weld temperature. This work contains the analysis and implementation of a temperature control method based on their work. This research shows that power input to the stir zone leads tool temperature. Due to the inertia associated with the spindle, power control is best achieved by commanding torque rather than spindle speed. Heat transfer in the tool and stir zone is explored and analytical models are developed. It is shown that the temperature response to power is nonlinear. Nevertheless a first-order approximation with time delay is sufficient to select functional controller gains for a PID controller. Standard manual PID tuning techniques can be used to achieve a desired rise time, settling time and overshoot. Gains for an H-13 tool steel FSW tool were tuned to produce a rise time of approximately 7 seconds, settling time of approximately 30 seconds and overshoot of approximately 30%. Welds were run using these gains in various plate thicknesses, commanded temperatures, backing plates and feed rates. In all cases temperature control functioned properly and the commanded temperature was held with a standard deviation of less than one degree Celsius. Similar results are presented for welds run using PCBN tools.

Temperature control has been implemented in friction stir processing and has demonstrated the ability to give improved process control. In order to have optimal control of the process, the parameters of the system to be controlled must be accurately identified. The system parameters change with tool geometry and materials, workpiece materials, and temperature. This thesis presents the use of the relay feedback test to determine the system parameters. The relay feedback test is easy to use and promotes system stability during its use. The results from the relay feedback test can be used to determine controller gains for a PID controller. The use of this method, as well as the quality of the resulting control is demonstrated in this paper.

Additive Friction Stir Deposition is an emerging solid-state additive manufacturing process that leverages severe plastic deformation to deposit fully dense metallic parts. This is of particular interest for high-strength aluminum alloys in which the addition of copper to the alloy chemistry makes them susceptible to hot cracking. This plagues traditional 3D printing of metals which is based on melting and solidification. This work looks at a particular high-strength aluminum alloy AA7050, one of the most widely utilized alloys for complex aerostructures. One of the key traits allowing for its widespread use is its low quench sensitivity, which enables it to be formed into thick sections and still achieve adequate strength. This work studies the feasibility of printing AA7050 and achieving full strength in thin cross sections as well as the influence of the zirconium dispersoid particle on quench sensitivity when applied to thicker sections. It was found that AA7050 after AFSD has significantly more quench sensitivity than traditionally processed material and through STEM, it was determined that this was due to the Al3Zr dispersoid particles providing heterogeneous precipitation sites. It was demonstrated that removing Zr alleviates the quench sensitivity in the case of printing with a featureless tool; however, the breakup of large constituent particles with a protrusion tool increases the number of interfaces for heterogeneous nucleation that induces sensitivity. This work shows that the dynamic recrystallization necessary to deposit material is detrimental to the fundamental performance of the alloy, making it challenging for thick AA7050 to achieve peak strength. A separate study is shown in which AFSD was utilized to successfully repair analogous corroded fastener holes in AA7050 commonly observed in service. After repairing with AFSD, the AA7050 outperformed the baseline material in R=0.1 and R=-1 fatigue, even outperforming pristine material in the R=0.1 case. This was determined to be due to the breakup of Fe-rich constituent particles serving as fatigue crack initiation sites which effectively delays the crack initiation process. / Doctor of Philosophy / Additive Friction Stir Deposition (AFSD) is an emerging additive manufacturing technique that utilizes severe plastic deformation instead of melting to 3D print metals. This work focuses on one of the most prominent aluminum alloys used in aerostructures (AA7050) and its performance after printing. It was found that printing AA7050 in thick sections has further challenges and that modifying the alloy chemistry can alleviate losses in strength. The understanding of AA7050 and AFSD was utilized for a specific application, the repair of corroded fastener holes on the coupon level. It was found that repairing the simulated corroded hole improved the fatigue performance of the coupon indicating a successful means for repairing components.

Friction stir welding (FSWing) is a solid state, thermo-mechanical process that utilizes a non-consumable rotating weld tool to consolidate a weld joint. In the FSW process, the weld tool is responsible for generating both the heat required to soften the material and the forces necessary to deform and consolidate the former weld seam. Thus, weld tool geometry, material selection, and process parameters are important to the quality of the weld. To study the effects of the weld tool geometry on the resulting welds, a previous study was conducted using varying degree taper, microwave-sintered tungsten carbide (WC) weld tools to FSW Ti-6Al-4V. Fully consolidated welds were down selected for this study to evaluate the resulting mechanical properties and to document the microstructure. X-ray diffraction (XRD) was used to compare the parent material texture with that in the weld nugget. The purpose of this study is to quantify the temperatures obtained during FSWing by interpreting the resulting microstructure. This information is useful in process optimization as well as weld tool material selection.

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