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Feed-adaptive Path Planning and Steering on Free-form Surfaces

PhD position

Application deadline: until filled.

Start: as soon as possible.

Duration: 3 years.

Salary: BAT IIa/2.

Funding: Third-party (BMWi InnoNet project on Knowledge-based Adaptive Micro-milling).

Project description:

Goal of the project is to develop path planning and steering strategies for adaptive micro-milling on free-form surfaces. The path is described by a double-NURBS curve describing the motion and the orientation of the tooltip on the surface. The path of the tooltip needs to be optimized such that motion of the five-axes robot, onto which the tool is mounted, fulfills certain smoothness criteria. In particular, the jerk should be bounded. An offline optimization of the toolpath that guarantees the given smoothness criteria needs to be employed. The developed algorithms will be embedded into a CAx system and used in real-worl applications.

Applicants should have a solid background in computer science or mathematics (or a related area) and basic knowledge in geometric modeling and computer graphics. Further expertise in geometric modeling is desired.

For further information or questions please contact:

Prof. Dr. Lars Linsen (l.linsen@jacobs-university.de)

Application materials including curriculum vitae, university transcripts and diploma, two letters of recommendation, an English language proficiency proof, and other material that strengthens your application should be send in electronic form to l.linsen@jacobs-university.de.

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Prof. Dr. Lars Linsen

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