Vibration mitigation methods for industrial machinery

Mechanical vibrations are an everyday challenge for industrial machinery, leading to machine wear, excessive noise and unplanned maintenance. Current megatrends drive the designs towards lighter machines that operate over a wider speed range for increased energy and material efficiency. These trends create challenges that are not solvable with traditional vibration mitigation methods. The industrial environment presents an additional set of challenges that limits the applicability of many advanced vibration mitigation solutions. This dissertation presents robust methods and analysis tools for efficient design of machinery. Wire rope isolators have attracted research attention due to their excellent vibration isolation performance combined with mechanical robustness. Highly nonlinear behavior has limited their application due to the complex modeling methods presented in literature. The first publication presents an amplitude-based linearization scheme and experimental identification method for the wire rope isolators. The identified model was shown to accurately capture the nonlinear behavior and provided good agreement with base excitation experiments. The second publication focused on a nonlinear tuned mass damper based on the wire rope isolators, which has not been previously studied in literature. The behavior was studied using the simulation model presented in the first article using two different cases. While the overall performance of the wire rope tuned mass damper was not on the same level as a well-tuned linear tuned mass damper, it was shown to be less susceptible to mistuning. Many researchers have proposed different methods for semi-active vibration control using stiffness adjustment methods. Most of them have neglected the design of control algorithms for such devices and focused only on simple systems. The third publication proposed a method combining resonance detuning and avoidance using a stiffness adjustment device that alters the natural frequencies. This was achieved by formulating the vibration problem into a response map and using a path finding algorithm to find the optimal path from one operating speed to another. The proposed control algorithm was verified using full-scale measurements on a 720 kg test rotor exhibiting multiple resonance frequencies in the operational speed range. The control algorithm led to reduced time spent near resonance and overall vibration levels.

Department dc:contributor.department

Energia- ja konetekniikan laitos

Grantor dc:publisher

Aalto University

Year dc:date.issued

2026

Author dc:creator

• Rytömaa, Samuli

Advisor dc:contributor.supervisor

• Viitala, Raine, Assist. Prof., Aalto University, Department of Energy and Mechanical Engineering, Finland

Contributors dc:contributor

• Aalto-yliopisto
• Aalto University

Language dc:language.iso

en

Repository record dc:identifier.uri

https://aaltodoc.aalto.fi/handle/123456789/144117

OAI record oai:identifier

https://aaltodoc.aalto.fi/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Aaaltodoc.aalto.fi%3A123456789%2F144117