Inhalt
[ 445VENDHMDK23 ] KV Advanced Machine Dynamics
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| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 4,5 ECTS |
M1 - Master's programme 1. year |
(*)Maschinenbau |
Thomas Pumhössel |
3 hpw |
Johannes Kepler University Linz |
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| Detailed information |
| Original study plan |
Master's programme Mechanical Engineering 2025W |
| Learning Outcomes |
Competences |
| Students are able to carry out foundation designs for the installation of machines from which an impulsive or periodic excitation emanates and to calculate the required parameters of the foundation (mass, stiffness, damping). Furthermore, they can analyze the effects of parameter excitations on the stability of dynamical systems and take measures to avoid parameter resonances. They are able to recognize and analyze mechanisms of self-excitation of mechanical systems, especially with regard to the stability behavior respectively the stability limit. Furthermore, they are able to recognize typical sources of faults in machines and systems, such as defects in rolling bearings or gears, using FFT spectra as part of condition monitoring and machine diagnostics.
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| Skills |
Knowledge |
Specifically, they can:
- understand the problems associated with the installation of machines and systems from which periodic or transient (shock-like) vibration excitations emanate (k2). In particular, they can apply the mathematical models for calculating the forces introduced into the ground or the movement of the foundation to specific design examples (k3, k4).
- understand the nature of parameter-excited vibrations, in particular using Mathieu's differential equation, and can interpret stability maps (k2, k3). Understand the development of parameter resonances and recognize possible causes in drive systems (k3, k4). They can solve simple examples numerically and evaluate the calculation results (k3, k4).
- understand self-excited vibrations and the underlying mechanisms, recognize possible effects and take measures to avoid them (k3, k4).
- correctly apply the relevant standards and guidelines for condition monitoring of machines and are able to identify damages of machines by interpreting measurement signals and initiate suitable countermeasures if necessary (k3, k4).
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- Machine set-up (harmonic and periodic excitation, transient (impulsive) excitation, vibration isolation, vibration damping, block foundations)
- Parameter-excited vibrations in drive systems (Mathieu's differential equation, Ince-Strutt diagram, parameter-excited multi-degree-of-freedom systems, generation of parameter-excited vibrations in gears, parameter resonance, parameter anti-resonance)
- Self-excited vibrations (mechanism, stick-slip vibrations, chatter vibrations of machine tools, examples from rotor dynamics)
- Fundamentals of condition monitoring of rotating machines (standards and guidelines, machine diagnostics, causes of fault vibrations - damage detection, model-based machine monitoring)
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| Criteria for evaluation |
Final paper and oral exam
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| Methods |
Lecture with presentation, calculation examples, exercise part
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| Language |
German |
| Study material |
- H. Dresig, F. Holzweißig: Maschinendynamik, 10. Auflage, Springer Verlag
- R. Gasch, R. Nordmann, H. Pfützner: Rotordynamik, 2. Auflage, Springer Verlag
- M. Weck, C. Brecher: Werkzeugmaschinen 5 – Messtechnische Untersuchung und Beurteilung, dynamische Stabilität, 7. Auflage, Springer Vieweg Verlag
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| Changing subject? |
No |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
481VANTHMDK22: KV Advanced Machine Dynamics (2022W-2023S)
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| On-site course |
| Maximum number of participants |
20 |
| Assignment procedure |
Assignment according to sequence |
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