PhD - Lifetime Prediction for Metal Sawing Operations

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Bosch is a worldwide leader for the Oscillating Multi Tools (OMTs), that are modular and can be used for a variety of machining tasks. We as the Center of Competence -Vibration, arecurrently investigating predictive operational reliability and lifetime models for various type of saw blades for metal cutting that can be used with OMTs. To understand the sawingprocess and the underlying physics is a key aspect of our campaign.

• You will advance the understanding of cutting mechanisms in sawing processes and life-limiting factors such as wear fracture and material fatigue.
• Furthermore, you will combine experimental measurements with finite element simulation techniques to identify key parameters for wear and operating life of cutting tools.
• Based on experimental and simulation data, you will make reliable predictions about the service life of such tools.
• During your PhD, you will develop a new concept to combine these techniques with monitoring and predictive maintenance approaches. You will work closely with an international team to integrate and evaluate these changes into the development process.
• In addition, you will provide key input into the design and manufacture of state-of-the-art prototypes, particularly in terms of dynamics and vibration transmission from the tool to the blade and cutting edge, to significantly improve blade life.
• The supervising will be carried out in collaboration with Institute for Machine Tools Management, University of Stuttgart.

• Education: completed Master's degree in Engineering or Natural Sciences with a focus on Machine Dynamics, Manufacturing Technology, Structural Dynamics or Materials and Fatigue
• Experience and Knowledge: average to advanced programming skills (Matlab, Python); experience with data acquisition systems (Artemis); theoretical and/or practical knowledge of vibration testing; knowledge of simulation tools (Ansys, Abaqus) is beneficial
• Personality and Working Practice: you manage to tackle complex problems with passion and you actively contribute as a team player, communicating your results clearly and convincingly
• Work Routine: regular visits to Switzerland to exchange ideas with the development team are part of your job
• Enthusiasm: you are passionate about researching and further developing cutting mechanisms and lifetime models, and enjoy advancing the state of the art
• Languages: very good in English and German, both written and spoken

The final Ph.D. topic is subject to the supervising university.

Start: by prior agreement

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need support during your application?

Tamara Bont (Human Resources)

+49 9352 18 2818

Need further information about the job?

Christian Dindorf (Functional Department)

+49 711 811 43166

Nimish Pandiya (Functional Department)

+49 152 51709795

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