Browsing by Subject "fluid dynamics"
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Item Demonstrating Paraflow: Interactive fluid dynamics simulation with real-time visualization for augmented resin 3D printing(University of Texas at Austin, 2023) Lipkowitz, Gabriel; Desimone, Joseph M.While resin 3D printers are seeing growing adoption in both manufacturing and personal fabrication settings, detecting print failures in real time remains challenging. Object-detection neural networks have shown benefits in a variety of extrusion-based 3D printing methods. Here, we extend such work to resin printing using a physics-informed machine learning data generation pipeline. Our approach leverages our models of the fluid dynamics of the printing process at every slice, in order to synthetically generate a library of print defects. We show such an approach is capable of providing data sufficiently resembling real-world failures to fine-tune a pre-trained custom defect detection neural network that can alert users of failure in real-time. Finally, to allow novice users to take advantage of our simulation platform, we integrate our tool into an interactive augmented reality interface, which displays simulation predictions to provide guidance on design and machine parameters prior to printing.Item Hydrogeological and Geomechanical Evaluation of a Shallow Hydraulic Fracture at the Devine Fracture Pilot Site, Medina County, Texas(55th U.S. Rock Mechanics/Geomechanics Symposium, 2021-06-18) Haddad, Mahdi; Ahmadian, Mohsen; Ge, Jun; Hosseini, Seyyed; Nicot, J.-P.; Ambrose, WilliamUT-Austin’s Devine Fracture Pilot Site (DFPS), 50 miles southwest of San Antonio, Texas, has been targeted for a comprehensive, multidisciplinary development of fracture diagnostics techniques cross-validated by ground-truth data acquisition near a recently created, 175-ft-deep, horizontal hydraulic fracture. To evaluate the fracture-diagnostic techniques at this site, we attempted to develop hydrogeological and geomechanical models on the basis of bottomhole-pressure measurements during injection tests with a predefined volumetric flow-rate profile, resembling a diagnostic fracture injection test (DFIT). History-matching efforts using a simplified layer-cake hydrogeological model resulted in the field-scale formation permeability of 9.87×10-15-m2 (10-mD) and Darcy-scale fracture permeability. Analysis of bottomhole pressure and injection-rate history showed that (1) the preexisting horizontal fracture was closed adjacent to the injection well and (2) the initial pump-pressure increase at a negligible volumetric injection rate led to near-well fracture reopening, conductivity increase, and abrupt injection-rate increase. To overcome hydrogeological-model limitations of predicting fracture reopening throughout injection, we extended the modeling to a finite-element, poroelastic analysis of horizontal-fracture growth using a cohesive-zone model. Using this fracture-reopening model, we were able to match the transient-pressure response during the entire experiment by adjusting the hydromechanical properties. The current study lays the foundation for future work that our team will be performing at this well-characterized fracture site.