Zabel, A., Saelzer, J., Elgeti, S., Alammari, Y., Berger, S., & Biermann, D. (2023). Fundamental tribological effects in lubricated cutting processes. CIRP Annals - Manufacturing Technology, 72(1), 37–40. https://doi.org/10.1016/j.cirp.2023.04.045 ( reposiTUm)

Lee, J., Hube, S., & Elgeti, S. (2023). Neural networks vs. splines: advances in numerical extruder design. Engineering with Computers, 39. https://doi.org/10.1007/s00366-023-01839-2 ( reposiTUm)

Lee, J., Elgeti, S., Saelzer, J., & Zabel, A. (2023). Development and Validation of a Micro-Tribology Model for the Chip Formation Zone. In V. Schulze & D. Biermann (Eds.), 19th CIRP Conference on Modeling of Machining Operations (pp. 317–322). Elsevier. https://doi.org/10.1016/j.procir.2023.03.054 ( reposiTUm)

Lee, J., & Elgeti, S. (2023, April 27). Reduced Model for Microscopic Lubricated Contact in Orthogonal Cutting [Conference Presentation]. 22nd Computational Fluids Conference CFC 2023, Cannes, France. ( reposiTUm)

Lee, J., Zwar, J. M., & Elgeti, S. (2023, June 20). Splinepy : A prototyping toolkit for spline-based design and simulation [Poster Presentation]. 11th International Conference on IsoGeometric Analysis (IGA 2023), Lyon, France. ( reposiTUm)