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AI-Based Temperature and Thermal Mechanical Fatigue Prediction Master Thesis

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Job

  • Level
    Experienced
  • Job Field
    Software, Data
  • Employment Type
    Full Time
  • Contract Type
    Internship / school internship
  • Salary
    from 3.500 € Gross/Project
  • Location
    Graz
  • Working Model
    Onsite
  • Job Summary

    In this master thesis, you will analyze simulations and test data regarding temperature and thermal mechanical fatigue. You will develop an AI model to predict valve seat bridge lifespan, focusing on critical influencing parameters.

    Job Technologies

    Your role in the team

    • Review and analyze existing simulation and test data from AVL iCA FE and powertrain databases.
    • Validate AI-based temperature field predictions compared to virtual simulations.
    • Validate AI-based TMF predictions against thermal shock tests and virtual simulations.
    • Identify key parameters (e.g., temperature, geometry, coolant flow) influencing temperature and TMF life prediction.
    • Develop and train an AI model to predict temperature and TMF of valve seat bridges.
    • Confirm simulation accuracy by identifying and validating key parameters influencing thermal fatigue life.

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    Our expectations of you

    Qualifications

    • Bachelor of Science in domains similar to Mechanical Engineering, Physics or a related field.
    • Interest in Internal Combustion Engine (ICE) technology and conducting mechanical analysis using numerical modeling and simulation techniques.
    • Familiarity with structural mechanics principles and 3D Finite Element Analysis (FEA) simulation methods is appreciated.
    • Strong interest in AI methodologies and programming, particularly with Python, for developing and automating various aspects of the project.

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    Benefits

    Work-Life-Integration

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    Job Locations

    Map of company locations
    • Location Graz

      Location Graz

      Hans-List-Platz 1

      8020 Graz

      Austria

    Topics that you deal with on the job

    This is your employer

    AVL LIST

    AVL LIST

    Graz

    AVL is a world-leading provider of mobility solutions. We develop, simulate and test technologies for the automotive industry and other sectors. With our innovative products and services, we help our customers shape the future of mobility.

    Description

  • Language
    English
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Electronics, Automatization, Engineering Industry
  • Dev Reviews

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    Total

    (2 Reviews)
    3.5
    • Engineering

      2.9
    • Culture

      3.8
    • Career Growth

      3.1
    • Workingconditions

      4.1
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    Logo AVL LIST

    AI-Based Temperature and Thermal Mechanical Fatigue Prediction Master Thesis

    Salary
    from 3.500 € Gross/Project
    Location
    Graz
    Working Model
    Onsite

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