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 Patrick Neuenfeldt, M.Sc. |
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Akad. Mitarbeiter Bereich: Fertigungs- und Werkstofftechnik Sprechstunden: nach Vereinbarung Raum: 109, Geb. 10.93 Tel.: +49 1523 9502602 patrick neuenfeldtAnr9∂kit edu |
76131 Karlsruhe Kaiserstraße 12 |
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Forschungs- und Arbeitsgebiete:
Lebenslauf:
| seit 07/2018 | Wissenschaftlicher Mitarbeiter am Institut für Produktionstechnik (wbk) des Karlsruher Instituts für Technologie (KIT) |
| 09/2016 - 06/2018 | Masterstudium Maschinenbau an der Hochschule Offenburg |
| 03/2013 - 08/2016 | Bachelorstudium Maschinenbau an der Hochschule Offenburg |
| 11/11/1991 | Geboren in Villingen-Schwenningen |
| [ 1 ] | Zanger, F.; Kacaras, A.; Neuenfeldt, P. & Schulze, V. (2019), „Optimization of the stream finishing process for mechanical surface treatment by numerical and experimental process analysis“, CIRP Annals - Manufacturing Technology, S. 373-376.
Abstract:
The stream finishing process represents an efficient mass finishing process capable in mechanical surface modification. In order to generate a deeper understanding of the cause-effect relationships, normal forces, material removal and surface topography were analyzed and correlated for varied process parameters of disc-shaped AISI 4140 specimens. Local resolution of tangential velocities of the particles and normal forces on the workpiece’s surface were simulated using the discrete element method for defined process parameter configurations and were correlated with experimental results. A deep process understanding is accomplished enabling the process design for efficient surface smoothing and improved residual stress depth distribution.
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| [ 2 ] | Neuenfeldt, P.; Kacaras, A.; Zanger, F. & Schulze, V. (2019), „Optimization of the stream finishing process for mechanical surfacetreatment by numerical and experimental process analysis“. Symposium Mechanical Surface Treatment 2019: 8th Workshop Machine Hammer Peening, Hrsg. Wbk Institute of Production Science, K., S. 138-149.
Abstract:
The stream finishing process represents an efficient mass finishing process capable in mechanical surface modification. In order to generate a deeper understanding of the cause-effect relationships, normal forces, material removal and surface topography were analyzed and correlated for varied process parameters of disc-shaped AISI 4140 specimens. Local resolution of tangential velocities of the particles and normal forces on the workpiece’s surface were simulated using the discrete element method for defined process parameter configurations and were correlated with experimental results. A deep process understanding is accomplished enabling the process design for efficient surface smoothing and improved residual stress depth distribution.
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