wbk Institut für Produktionstechnik
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wbk Institut für Produktionstechnik
wbk Institut für Produktionstechnikwbk
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Mitarbeiter

Patrick Neuenfeldt, M.Sc.

  • 76131 Karlsruhe
    Kaiserstraße 12

Patrick Neuenfeldt, M.Sc.

Forschungs- und Arbeitsgebiete:

  • Partikelsimulation von Oberflächen-Finishingprozessen

 

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

 

Veröffentlichungen

[ 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.

[ 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.