Investigation into Manufacturing Complexities Intrinsic to Superplasticly Formed and Diffusion Bonded (SPF/DB) Components by Statistical Modeling, Simulation, and Experiments
Most superplastic parts are blow formed to a die surface with small variations in thicknesses. This work, investigated a process unique to SPF/DB using four sheets of titanium. The two outer sheets are formed to the die surface, while the two unsupported inner sheets form a complex sandwich structure that is all diffusion bonded. Because superplasticity is stress-history dependent, and somewhat chaotic, the geometry of the inner sheets are free to shift and translate such that small variations in the initial geometry create large changes in the final geometry. Modelling of diffusion bonding has been challenging due to variations in voids formed at the mating surfaces.
A variety of techniques to measure the variances in forming were quantified using cell wall measurements, gas pathway measurements, and computer vision-based geometry analysis. Finite element simulations of the inner sheet forming process compared the experimental results with idealized geometry. A stochastic diffusion bonding model was implemented to estimate the probability of voids formed; it used a statistical version of Pilling’s model, combined with theoretical voids formed from interacting surfaces based on surface roughness initial conditions. The results of the model, and simulations, were compared with experimental results for three different titanium alloys at different process conditions. These findings provide insights into the complexities of manufacturing four sheet SPF/DB structures.
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