| Fall 2015 |
HPC4Mfg |
Integrated Predictive Tools for Customizing Microstructural and Material Properties of Additively Manufactured Aerospace Components |
Phase field simulations of microstructure evolution in IN718 using a surrogate Ni-Fe-Nb alloy during laser powder bed fusion |
B. Radhakrishnan, S. B. Gorti, J. A. Turner, R. Acharya, J. A. Sharon, A. Staroselsky and T. El-Wardany |
| Fall 2018 |
HPC4Mtls |
Advanced Thermal-Hydraulic Model of Heat Recovery Steam Generator |
Computational fluid dynamics investigations of flow, heat transfer, and oxidation in heat recovery steam generator |
Nithin S. Panicker, Marc Olivier G. Delchini, Tom Sambor, Adrian S. Sabau |
| Fall 2018 |
HPC4Mfg |
Simulated Adhesive Response to Aging |
Molecular Dynamics Simulation of Hygroscopic Aging Effects in Epoxy Polymer |
Taufique, M. F. N., Losada, M., Hamel, S., Goldman, N., DiTucci, M., Pagnotti, L., Willis, D., Torres, M., & Devanathan, R. 2023. |
| Summer 2018 |
HPC4Mfg |
Optimization of Alumina and Aluminum Fluoride Feeding in Advanced Aluminum Smelting Cells using Large Eddy Simulation |
A Large Eddy Simulation Study of Flow Turbulence, Alumina Transport, and Bath Temperature Evolution in Conventional Aluminum-Smelting Cell Using OpenFOAM |
Panicker, N. S., Chaudhary, R., Rao, V. M., Delchini, M. O. G., & Jain, P. K. (2022) |
| Winter 2018 |
HPC4Mfg |
Predictive Modeling of Polyurethane Insulation Manufacturing to Optimize Performance, Reduce Waste, and Design Processes |
Bubble-Scale Observations of Polyurethane Foam Expansion |
Christine Roberts, Lisa Mondy, Grant Soehnel, Casper Brady, Bion Shelden, Melissa Soehnel, Robert Garcia, Weston Ortiz and Rekha Rao |
| Winter 2018 |
HPC4Mfg |
Predictive Modeling of Polyurethane Insulation Manufacturing to Optimize Performance, Reduce Waste, and Design Processes |
Density and bubble size prediction of polyurethane foam using a pressure dependent population balance equation |
Weston Ortiz, Lisa Mondy, Christine Roberts, and Rekha Rao |
| Winter 2018 |
HPC4Mfg |
Application of High-Performance Computing (HPC) to Optimize Reheat Furnace Efficiency in Steel Manufacturing |
Using Oxygen Enrichment Combustion to Reduce Fossil Energy Consumption and Emissions in Hot Rolling Steel Production |
Khalid, Y., M. Wu, A. Silaen, F. Martinez, T. Okosun, B. Worl, J. Low, C. Zhou, K. Johnson, and D. White. 2021 |
| Winter 2018 |
HPC4Mfg |
An Advanced Meso-Scale Peridynamic Modeling Technology using High-Performance Computing for Cost-Effective Product Design and Testing of Carbon Fiber Reinforced Polymer Composites in Light-weight Vehicles |
An FEM-based peridynamic model for failure analysis of unidirectional fiber-reinforced laminates |
Ren, B., Wu, C.T., Seleson, P., Zeng, D., Nishi, M., Pasetto, M |
| Winter 2018 |
HPC4Mtls |
An Advanced Meso-Scale Peridynamic Modeling Technology using High-Performance Computing for Cost-Effective Product Design and Testing of Carbon Fiber Reinforced Polymer Composites in Light-weight Vehicles |
An advanced meso-scale peridynamic modeling technology using high-performance computing for cost-effective product design and testing of carbon fiber reinforced polymer composites in light-weight vehicles |
Seleson, P., Ren, B., Wu, C.T., Zeng, D., Pasetto, M. |
| Winter 2018 |
HPC4Mfg |
Predictive Tools for Customizing Heat Treatment of Additively Manufactured Aerospace Components |
Precipitate growth kinetics under inhomogeneous concentration fields using a phase-field model |
Y. Song, B. Radhakrishnan, S. Gorti and R. Acharya |
| Winter 2018 |
HPC4Mtls |
High-Performance Multi-Scale Modeling of Material Imperfections of Critical Fossil Power Generation Components |
Crack Nucleation from Non-metallic Inclusions in Aluminum Alloys Described by Peridynamics Simulations |
M. R. Karim, K. Kadau, S. Narasimhachary, F. Radaelli, C. Amann, K. Dayal, S. Silling, and T. C. Germann |
| Winter 2018 |
HPC4Mtls |
High-Performance Multi-Scale Modeling of Material Imperfections of Critical Fossil Power Generation Components |
Crack Nucleation at Forging Flaws Studied by Non-Local Peridynamics Simulations |
| M. R. Karim, K. Kadau, S. Narasimhachary, F. Radaelli, C. Amann, K. Dayal, S. Silling, and T. C. Germann |
|
| Fall 2019 |
HPC4Mfg |
Topology Optimization of Fischer Tropsch Reactor Design for Synthetic Fuel Production |
Design optimization of integrated cooling inserts in modular Fischer-Tropsch reactors |
Barrera, J. L., Hartvigsen, J. J., Hollist, M., Pike, J., Yarosh, A., Fullilove, N. P., & Beck, V. A. (2023) |
| Fall 2019 |
HPC4Mfg |
Modeling Coating Flow and Dynamics during Drying |
Insights from high-fidelity modeling of industrial rotary bell atomization |
Robert I. Saye, James A. Sethian, Brandon Petrouskie, Aaron Zatorsky, Xinyu Lu, and Reza Rock |
| Spring 2019 |
HPC4Mfg |
Deep Learning-Augmented Flow Solver to Improve the Design of Gas-Turbine Engines |
Development of a machine learning wall model for large-eddy simulation of gas turbine film cooling flows |
T. Kumar, P. Pal, A.C. Nunno, S. Wu, O. Owoyele, M.M. Joly, and D. Tretiak |
| Spring 2019 |
HPC4Mfg |
Deep Learning-Augmented Flow Solver to Improve the Design of Gas-Turbine Engines |
Wall-resolved LES study of shaped-hole film cooling flow for varying hole orientation |
A.C. Nunno, S. Wu, M.M. Ameen, P. Pal, P. Kundu, A. Abouhussein, Y.T. Peet, M.M. Joly, and P.A. Cocks |
| Fall 2020 |
HPC4Mfg |
High-Fidelity and High-Performance Computational Simulations for Rapid Design Optimization of Molten Sulfur Thermal Energy Storage Technology |
Exploring the Limits of Empirical Correlations for the Design of Energy Systems with Complex Fluids: Liquid Sulfur TES as a Case Study |
Madeleine C. Olivera, Munjal Shaha, Janna Martinek, Karthik Nithyanandam, Zhiwen Ma, Michael J. Martin |
| Winter 2020 |
HPC4Mfg |
Development of Efficient Process for Manufacturing Thermoplastic Composites with Tailored Properties |
Investigation of Crashworthiness of Carbon Fiber-Based Electric Vehicle Battery Enclosure Using Finite Element Analysis |
Shank S. Kulkarni, Forrest Hale, M. F. N. Taufique, Ayoub Soulami & Ram Devanathan |
| Winter 2020 |
HPC4Mfg |
Development of Efficient Process for Manufacturing Thermoplastic Composites with Tailored Properties |
Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-based Battery Enclosures for Crashworthiness |
Shadab Anwar Shaikh, M. F. N. Taufique, Kranthi Balusu, Shank S. Kulkarni, Forrest Hale, Jonathan Oleson, Ram Devanathan & Ayoub Soulami |
