John Fortna
Papers
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Total Citations
1
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About
John Fortna is a researcher advancing the field of additive manufacturing through computational modeling, with a particular focus on directed energy deposition (DED) processes. His work centers on developing robust finite element method (FEM) methodologies that accurately capture the complex thermo-mechanical behavior of multi-axis DED. Fortna’s key contribution lies in addressing the critical challenge of element selection and clustering in simulation, enabling more precise predictions of thermal histories and residual stresses during material deposition. While his most cited paper, “Methodology for element selection and clustering in multi-axis directed energy deposition simulation” (2025), has garnered early attention with 1 citation, it represents foundational work that promises to improve the efficiency and accuracy of DED process modeling. By tackling the specific modeling techniques necessary to simulate macroscale behavior, Fortna is helping bridge the gap between computational predictions and real-world additive manufacturing outcomes. His research is particularly valuable for engineers seeking to optimize process parameters and reduce trial-and-error in metal additive manufacturing, positioning him as an emerging voice in the simulation-driven design of advanced manufacturing processes.
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