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BOBosch

PhD - Lifetime Prediction for Metal Sawing Operations(m/w/x)

Schwieberdingen
Full-timeOn-site

Combining experimental measurements with finite element simulations to predict tool wear for oscillating multi-tools. Advanced Matlab and Python skills with Artemis data acquisition experience required. Research-focused environment with access to specialized vibration testing labs.

Requirements

  • Master's degree in Engineering, Natural Sciences, or comparable
  • Average to advanced Matlab and Python skills
  • Experience with Artemis data acquisition systems
  • Theoretical or practical vibration testing knowledge
  • Beneficial knowledge of Ansys or Abaqus
  • Passionate approach to complex problem solving
  • Active teamwork and clear communication skills
  • Passion for researching cutting mechanisms
  • Enjoyment of advancing state of the art
  • Very good written and spoken English
  • Very good written and spoken German

Tasks

  • Advance the understanding of sawing process cutting mechanisms
  • Identify life-limiting factors like wear fracture and material fatigue
  • Combine experimental measurements with finite element simulations
  • Identify key parameters for cutting tool wear and operating life
  • Predict tool service life using experimental and simulation data
  • Develop concepts combining monitoring with predictive maintenance
  • Collaborate with international teams to integrate changes into development
  • Provide design input for state-of-the-art prototypes
  • Analyze dynamics and vibration transmission to improve blade life

Education

Master's degree

Languages

EnglishBusiness FluentGermanBusiness Fluent

Tools & Technologies

MatlabPythonArtemisAnsysAbaqus
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