wbk Institute of Production Science

Patrick Neuenfeldt, M.Sc.

  • 76131 Karlsruhe
    Kaiserstraße 12

Patrick Neuenfeldt, M.Sc.

Forschungs- und Arbeitsgebiete:

  • Particle simulation of surface finishing processes

 

Curriculum Vitae:

since 07/2018 Research Associate at the Institute of Production Science (wbk) at Karlsruhe Institute of Technology (KIT)
09/2016 - 06/2018 M.Sc. in mechanical engineering at University of Applied Science Offenburg
03/2013 - 08/2016 B.Eng. in mechanical engineering at University of Applied Science Offenburg
11/11/1991 Born in Villingen-Schwenningen

 

Publications

[ 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, pp. 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, eds. Wbk Institute of Production Science, K., pp. 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.