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Master Thesis: Material Models for Predicting Lifetimes of Cast Superalloys via Micromechanical[...]

MTU Aero Engines AG

München

Hybrid

EUR 30.000 - 50.000

Vollzeit

Vor 23 Tagen

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Zusammenfassung

An established industry player in aerospace technology is looking for motivated individuals to work on innovative material models for predicting the lifetimes of cast superalloys. This exciting opportunity involves conducting experiments, comparing material models, and developing quantitative measures for accuracy. You'll gain valuable insights into the aerospace sector while working on complex technical challenges. With a supportive team environment, flexible working models, and a focus on professional growth, this role is perfect for those eager to make a significant impact in the field of engineering.

Leistungen

Mentoring and individual support
Flexible working hours
Canteen and café
Sports cooperation with EGYM Wellpass
Excellent public transport connections

Qualifikationen

  • Studying a STEM subject with a strong computational background.
  • Experience with finite element methods and coding in Python or Fortran.

Aufgaben

  • Work on lifetime modeling of cast nickel-based superalloys.
  • Conduct cyclic experiments using digital image correlation.

Kenntnisse

Finite Element Method
Python
Fortran
Problem-solving
Independence

Ausbildung

Studying a STEM subject

Tools

Abaqus
CalculiX

Jobbeschreibung

#UPLIFTYOURFUTURE

Wir sind über 12.000. An 19 Standorten weltweit. Jedes dritte Flugzeug fliegt mit unserer Technologie.
Immer effizienter, leiser, nachhaltiger. Wir gestalten die Zukunft der Luftfahrt. Was wir noch brauchen? Dich.

Unser Team sucht Dich:

Master Thesis: Material Models for Predicting Lifetimes of Cast Superalloys via Micromechanical Simulation Approach

in München

Kennziffer - D MUC AEWT

Micromechanical modelling of materials (e.g. crystal plasticity finite element method) has been increasingly used in recent years. The material models used in these methods are able to capture field quantities such as stresses or strains on the microscopic scale. However, due to the high experimental effort, these models are usually validated only at the macroscale, which leads to questionable validity for some applications (e.g. fatigue modelling). Another challenge in this field is the high computational cost of some of these models which prevents their widespread adoption in the industrial context, despite the ever increasing computational resources. An in-depth study of different material models taking all the aforementioned factors into account is therefore highly relevant.

STARKE AUFGABEN

  • Work on a project focused on lifetime modeling of cast nickel-based superalloys for aero engine blades and vanes
  • Conduct and evaluate cyclic experiments using digital image correlation ("DIC")
  • Review and compare the most promising material models in a finite element solver such as Abaqus or CalculiX
  • Assess the accuracy of the material models using experimental results allowing for validation on the microscopic level
  • Develop a quantitative error measure to compare different material models
  • Deduce a recommendation for the optimal material model, taking into account various factors such as the conformity of the model with validation experiments and computational cost

BESTE VORAUSSETZUNGEN

  • Studying a STEM subject with a strong computational background (e.g. computational engineering, mechanical engineering, materials science, physics or similar)
  • Experience of the finite element method
  • Coding experience in a high-level programming language (e.g. Python, Fortran)
  • Ideally some materials science fundamentals
  • Good English and/ or German language skills
  • Highly motivated, able to work independently on complex technical challenges
  • Strong problem-solving mindset

There is the possibility of an internship to familiarize yourself with the used tools.

Idealerweise stehst du für einen Zeitraum von mindestens acht Wochen zur Verfügung.

AUSGEZEICHNETES UMFELD

  • Einblicke in die Luftfahrtbranche und Jobs mit Verantwortung
  • Teamspirit u.a. durch Studi-Netzwerk & Events
  • Mentoring und individuelle Betreuung
  • Flexible Arbeitszeitmodelle mit mobilem Arbeiten
  • Kantine, Cafébar und Verkaufsshops
  • Sportkooperation mit EGYM Wellpass & Betriebssportgruppen
  • Top-Anbindung durch Pendlerbus, Parkhaus, E-Ladestation

STARTKLAR?


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