Sprungmarken

Servicenavigation

Hauptnavigation

Sie sind hier:

Hauptinhalt

Dr.-Ing. Lars Rose

Dr.-Ing. Lars Rose Foto von Dr.-Ing. Lars Rose

Telefon
+49 231 755-4812

Fax
+49 231 755-2688

Adresse

Institute of Mechanics

Department of Mechanical Engineering

TU Dortmund

Leonhard-Euler-Strasse 5

D-44227 Dortmund

Raum 142

Inhalt

Curriculum Vitae

Professional Experience

Since 03/2022

Senior researcher, Institute of Mechanics, TU Dortmund
Since 05/2020

Laboratory manager, Institute of Mechanics, TU Dortmund
04/2016 - 04/2020

Research Assistant, Institute of Mechanics, TU Dortmund
05/2014 - 03/2016

Student Assistant, Institute of Mechanics, TU Dortmund
01/2014 - 03/2014

Bachelor thesis, ThyssenKrupp RotheErde, Lippstadt
10/2013 - 01/2014

Internship, ThyssenKrupp RotheErde, Lippstadt
01/2012 - 09/2013

Student Assistant, Institute of Mechanics, TU Dortmund

Education

02/2022

Doctoral Degree (Dr.-Ing.), Thesis Title: "Optimisation based parameter identification using optical field measurements"
03/2016

Master of Science Degree (M. Sc.), Thesis Title: "Experiments and algorithmic treatment of material parameter identification utilizing
optical displacement field measurements"
06/2014 - 03/2016

Studies of Mechanical Engineering (Master), TU Dortmund
06/2014

Bachelor of Science Degree (B. Sc.), Thesis Title: "Analytische und numerische Betrachtungen zur Auslegung einer Magnetlagerung"
10/2010 - 06/2014

Studies of Mechanical Engineering (Bachelor), TU Dortmund

Awards

11/2014

Best Graduating Student 2013/2014 (Bachelor Mechanical Engineering, TU Dortmund)
11/2014

ThyssenKrupp Student Award

 Personal skills

  • Material modeling (small and large strain, plasticity, anisotropy, viscosity, damage,...)
  • Coupled problems (thermo-mechanical, electro-mechanical, ...)
  • Parameter identification
  • Structural optimisation
  • Finite-Element-Technology (implementation of FE-Routines, extension of existing code, FE2, homogenisation...)
  • Coding (MATLAB, C++)
  • Experiments (Use of tension, torsion and bi-axial testing-machines, DIC, thermography and thermocouples)

Research

Parameter identification

Aim of this project is to provide a suitable setup for the identification of mechanical and calorical material parameters. It includes the development of a numerical framework in C++ with interfaces to the fully parallelised C++ in-house FEM-code and to commercial FEM software, as well as the performance of suitable experiments using DIC and thermography systems. Furthermore, an appropriate material model must be chosen and implemented before its material parameters can be identified. 

exp
Figure: Experimental equipment. Aramis system from GOM, tensile
and torsion machine from W&B, ImageIR from InfraTech.

More...

 
shrink_final5
Figure: Experimental displacement along the
tensile axis.
temp4
Figure: Experimental temperature distribution.

                                                                                                                                                                                                                                                        

Teaching

Supervised Theses

E. Efendioglu
Optimierung eines Teststandes zur thermographischen Erfassung von Oberflächentemperaturen
Project Thesis, 2017

A. Ennen
Identifikation einer Fließfläche mittels biaxialer Zugversuche
Bachelor Thesis, 2018

C. Patsch
Vergleich analytischer Methoden zur Berechnung von Eigenfrequenzen am Beispiel des
Schwingungslehrsystems G.U.N.T. TM150 - Experimentelle Analyse
Project Thesis, 2018

M. Gozemba
Vergleich analytischer Methoden zur Berechnung von Eigenfrequenzen am Beispiel des
Schwingungslehrsystems G.U.N.T. TM150 - Analytische Auswertung
Project Thesis, 2018

F. Dogan
Experimentelle Untersuchung zur Identifikation temperaturabhängiger Materialkennwerte
Bachelor Thesis, 2019

H. Polat
Verschiebungsfeld basierte Identifikation temperaturabhängiger Materialparameter
Project Thesis, 2020