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M.Sc. German Gonzalez Fernandez

Akad. Mitarbeiter
Bereich: Fertigungs- und Werkstofftechnik
Sprechstunden: nach Vereinbarung
Raum: 601.7, Geb. 10.50
Tel.: +49 1523 9502577
German GonzalezUdj6∂kit edu

76131 Karlsruhe
Kaiserstraße 12

M.Sc. German Gonzalez Fernandez

Forschungs- und Arbeitsgebiete:

  • Simulation von Fertigungsprozessen
  • Einstellung von Randschichtzuständen bei der Zerspanung
  • Verschleißkompensation



  • Verschleißkompensierende Einstellung von nanokristallinen Randschichten bei der Zerspanung mittels ortsaufgelöster Temperatur- und Verschleißmessung



Seit 06/2018

wissenschaftlicher Mitarbeiter am Institut für Produktionstechnik (wbk) des Karlsruher Instituts
für Technologie (KIT)

10/2016 - 05/2018

Projektingenieur bei IK4 IDEKO – DanobatGroup.
Abteilung Schwingungen und Ratterunterdrückung.

10/2014 - 03/2016

Erasmus Mundus Masterstudiengang Mechatronik und Micro-Mechatronik Systeme - EU4M an der Universität Oviedo und an der Hochschule Karlsruhe – Technik und Wirtschaft

10/2010 - 03/2014

Studium des Maschinenbaus an der Universität Oviedo


Geboren in Gijon (Spanien)


[ 1 ] Iglesias, A.; Dombovari, Z.; Gonzalez Fernandez, G.; Munoa, J. & Stepan, G. (2018), „Optimum Selection of Variable Pitch for Chatter Suppression in Face Milling Operations“, Materials — Open Access Journal , S. 1-21.
Cutting capacity can be seriously limited in heavy duty face milling processes due to self-excited structural vibrations. Special geometry tools and, specifically, variable pitch milling tools have been extensively used in aeronautic applications with the purpose of removing these detrimental chatter vibrations, where high frequency chatter related to slender tools or thin walls limits productivity. However, the application of this technique in heavy duty face milling operations has not been thoroughly explored. In this paper, a method for the definition of the optimum angles between inserts is presented, based on the optimum pitch angle and the stabilizability diagrams. These diagrams are obtained through the brute force (BF) iterative method, which basically consists of an iterative maximization of the stability by using the semidiscretization method. From the observed results, hints for the selection of the optimum pitch pattern and the optimum values of the angles between inserts are presented. A practical application is implemented and the cutting performance when using an optimized variable pitch tool is assessed. It is concluded that with an optimum selection of the pitch, the material removal rate can be improved up to three times. Finally, the existence of two more different stability lobe families related to the saddle-node and flip type stability losses is demonstrated.

[ 2 ] González Fernández, G.; Segebade, E.; Zanger, F. & Schulze, V. (2019), „FEM-based comparison of models to predict dynamic recrystallization during orthogonal cutting of AISI 4140“. Procedia CIRP 82, Hrsg. Elsevier B.V., S. 154-159.
Machining processes induce a thermo-mechanical load collective on the surface layer, which leads to grain refinement of varying depths depending on several factors apart from the workpiece. The size relation of the cutting edge radius to the cutting depth (relative roundness) as well as the cutting edge microgeometry influence the generation of nanocrystalline layers. In this work several models to predict dynamic recrystallization during orthogonal cutting of AISI 4140 are compared using 2D FEM-models considering both, relative roundness and cutting edge microgeometry.