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Results: 3
18:15 conference time (CEST, Berlin)
Blood Flow Modeling in Human Aorta: A Fluid-Structure Interaction Analysis
26/10/2021 18:15 conference time (CEST, Berlin)
Room: L
D. Patel, D. Panneerselvam (Dassault Systemes, USA); T. Spirka, K. Genc (Synopsys Inc., USA)
D. Patel, D. Panneerselvam (Dassault Systemes, USA); T. Spirka, K. Genc (Synopsys Inc., USA)
Understanding blood flow hemodynamics and the fluid structure interaction (FSI) of blood with arterial walls is important for gaining insight into the fluid mechanics associated with many cardiovascular diseases. In this study, an image based model of the upper thoracic vasculature was created from MRI data using the Simpleware Software. The model was used to test and compare the FSI results predicted when three advanced multiphysics modeling methods; the Smooth Particle Hydrodynamics (SPH) Method, the Coupled Eulerian-Lagrangian (CEL) Method and the Lattice-Boltzmann Method (LBM) were used to simulate blood flow in the image based model of the vasculature. Each of the above methods, offers certain advantages in simulating complex FSI. The Lagrangian mesh free SPH method has been found to be useful in cases where there is a need to account for extremely high deformations where traditional methods often fail or are inefficient. When simulating FSI, the advantages of using the CEL method are large scale structural deformations, where the Volume-of-Fluids (VOF) method tracks material boundary in the Eulerian domain. CEL approach is an interaction between the Lagrangian bodies and the materials in the Eulerian mesh. The Eulerian technique is a complement to Lagrangian analysis and acceptable when extreme deformations cause the Lagrangian method to fail. The coupled Lattice-Boltzmann method, being particle-based method tackles many of the drawbacks presented by the traditional CFD methods such as mesh based solutions. In LBM approach, the meshing process is removed as the simulation relies on an automatically generated lattice which is organized in an Octree structure. All simulations were performed in the Abaqus and XFlow CFD software packages. This study assessed the performance and modeling capabilities of each of these methods by comparing the results of each method quantitatively for the predicted velocity field, the predicted wall shear stress and the global flow parameters.
15:50 conference time (CEST, Berlin)
Simulation Driven Product Development and DFAM* for Next Generation Products (*Design for Additive Manufacturing)
27/10/2021 15:50 conference time (CEST, Berlin)
Room: F
S. Acharya, W. Schwarz, M. Masoomi(Ansys Inc., USA); R. O'Hara (nTopology, USA); K. Genc (Synopsys Inc, USA); J. Spragg (EOS, USA)
S. Acharya, W. Schwarz, M. Masoomi(Ansys Inc., USA); R. O'Hara (nTopology, USA); K. Genc (Synopsys Inc, USA); J. Spragg (EOS, USA)
Additive Manufacturing (AM) of metal parts has become broadly accessible in the last decade. However, most industry sectors still have uncertainty when it comes to AM adoption for production. This is especially true when it comes to new unconventional design paradigms that can be only manufactured with technologies such as AM. The use of simulation can reduce the risk of failure while accelerating the product development process for these next-generation products. The presentation will focus on a novel heat exchanger design that was developed in partnership between nTopology, ANSYS, Synopsys, EOS, and North Star Imaging (NSI). The specific heat exchanger design for aerospace applications (Fuel Cooled Oil Cooler) leverages properties of triply periodic minimal surfaces (TPMS) to generate a highly efficient single component design to replace existing plate and tube exchanger designs. Design simulations for fluid and thermal simulations were used to verify and optimize the performance of the new design. The resulting design is 80% lighter yet more efficient than comparable traditional designs. Additive Manufacturing process simulations (coupled thermal-structural) were used to optimize the process so that the residual stresses and the support requirements were minimized or eliminated, altogether. The successful build of the optimized design was scanned for potential build failures or porosity using CT. The simulation of the as-built geometry (from CT scan) is useful in validating the performance of the printed part. Additionally, the mechanical integrity of the as-built designs for structural integrity is discussed. In addition to the computational demands, the specific design geometry brings challenges typical when leveraging novel designs for additive manufacturing. The geometry was generated using an implicit geometry engine. The complex TPMS structure can create large STL files affecting downstream mesh size required for reasonable accuracy. The methodology is proposed general and can be applied to a broad class of products manufactured with AM.
DFAM, Additive Manufacturing, CFD, CHT, Process Simulation, Porosity, Thermomechanical Fatigue
17:05 conference time (CEST, Berlin)
Application of Image-based Modelling to Qualification and Simulated Testing of Next Generation Heat Exchangers
28/10/2021 17:05 conference time (CEST, Berlin)
Room: M
K. Genc, T. Spirka (Synopsys Inc., USA); B. Muehlhauser (North Star Imaging, USA); S. Acharya (Ansys Inc., USA)
K. Genc, T. Spirka (Synopsys Inc., USA); B. Muehlhauser (North Star Imaging, USA); S. Acharya (Ansys Inc., USA)
Additive Manufacturing (AM) of metal parts is becoming increasingly common as a flexible and scalable option for production. However, AM does have its challenges, notably in terms of the quality of the finished product, including the presence of defects that can increase the risk of failure. One key challenge involves comparing as-designed and as-built AM parts, and how these differences between the virtual and physical affect real-world performance. One set of solutions are being developed through a partnership between Synopsys, nTopology, ANSYS, North Star Imaging (NSI), and EOS. By combining industrial Computed Tomography (CT) with simulation, it is possible to virtually test and compare original CAD designs and scans of the actual printed parts. From this data, manufacturers can identify issues with the component (such as cracking or porosity) that could affect performance and lead to costly delays in production. In this presentation, we will discuss a recent case study for a workflow involving rapid re-design of a traditional heat exchanger, and how the combination of methods helps optimize design. We start with design of the part in nTopology software, analysis and simulation using ANSYS software, printing in EOS AM Machine, CT scanning of the part with NSI, image based inspection and image based meshing in Synopsys and finally simulation of the as-built part in ANSYS. The main focus of this presentation, however, will be on the Quality Analysis (QA) process post CT scanning. From the CT image data, inspection and meshing in Synopsys Simpleware software enables comparison of the performance of the original CAD design and the image-based model through simulation in ANSYS. Using this case study, we will demonstrate that the efficient workflow results in a design that is 80% lighter, 40% smaller in form-factor, and 10k more efficient in heat transfer than conventional technology. In addition, we will discuss how these techniques can be applied to similar design and manufacturing workflows and when applied in production, become fully automated by leveraging Machine Learning based AI technologies.
Segmentation, Computed Tomography, Meshing, Finite Element, Non Destructive Testing, Reverse Engineering