TY - BOOK
T1 - Integrated Process and Materials Modeling for Development of Additive Manufacturing of Refractory Materials for Critical Applications
AU - Panicker, Nithin
AU - Prabhune, Bhagyashree
AU - Delchini, Marco
AU - See, Nate
AU - Jordan, Brian
AU - Lim, Bryan
AU - Nag, Soumya
AU - Plotnikov, Yuri
AU - Priya, Pikee
AU - Lee, Yousub
PY - 2024/2
Y1 - 2024/2
N2 - The research is focused on establishing computational framework, fundamental knowledge, and powder direct energy deposition (DED) capabilities for accelerating the use of refractory metals for gas turbine generation, which is considered a significant enabling technology for increasing operating temperatures and improving efficiency of these system. A computational fluid dynamics (CFD) melt pool simulation for refractory alloy of C103 was developed in Star-CCM+ by incorporating physical interactions among the heat source, material, and manufacturing parameters in multi-physics simulation. The main set of experimental data was obtained from DED trials using C103 powder at the Commonwealth Center for Advanced Manufacturing (CCAM). The modeling results, along with experimental data, were used to establish process maps for defect detection and geometric precision. The outcomes of simulations and data for C103 can be used to optimize the process parameters and tool path strategies to ensure the defect-free parts. The technology developed in the project supports the optimization of the powder DED.
AB - The research is focused on establishing computational framework, fundamental knowledge, and powder direct energy deposition (DED) capabilities for accelerating the use of refractory metals for gas turbine generation, which is considered a significant enabling technology for increasing operating temperatures and improving efficiency of these system. A computational fluid dynamics (CFD) melt pool simulation for refractory alloy of C103 was developed in Star-CCM+ by incorporating physical interactions among the heat source, material, and manufacturing parameters in multi-physics simulation. The main set of experimental data was obtained from DED trials using C103 powder at the Commonwealth Center for Advanced Manufacturing (CCAM). The modeling results, along with experimental data, were used to establish process maps for defect detection and geometric precision. The outcomes of simulations and data for C103 can be used to optimize the process parameters and tool path strategies to ensure the defect-free parts. The technology developed in the project supports the optimization of the powder DED.
KW - 36 MATERIALS SCIENCE
KW - 97 MATHEMATICS AND COMPUTING
U2 - 10.2172/2397457
DO - 10.2172/2397457
M3 - Commissioned report
BT - Integrated Process and Materials Modeling for Development of Additive Manufacturing of Refractory Materials for Critical Applications
CY - United States
ER -