柠檬导航

News

One-week course in rotordynamics receives more participants from the industry than in the previous years

Students and industry participants got an overview of rotordynamics and learned to critically review rotordynamics reports.
Aalto University / Rotordynamics course - Huanwen Xie and Changting Chen

Electrical motors and generators are rotating machines that require well-functioning rotordynamics for high performance and reliability. Typical examples are power plant generators and turbines, as well as smaller equipment such as piston pumps and their engines. A one-week course organised by the School of Electrical Engineering in early September welcomed 41 participants to learn about lateral rotordynamics of these electrical machines based on two disciplines, mechanics and electromagnetics.

鈥淭he aim of the course  is that after completing it, the participants get an overview of rotordynamics, are ready to carry out simple rotordynamic analyses, and are capable of critically reviewing analysis reports circulated in the industry鈥, says Anouar Belahcen, professor in the Department of Electrical Engineering and Automation and organizer of the course.

Consisting of lectures by internationally recognised lecturers indluding  and , and exercise sessions for applying the theory in practice, the course counts for five credits for those who complete the practical work, while others receive a course certificate.

The semiannual course, open for both PhD students and graduates who are working in the industry, received this year more participants from the industry than in the previous years, many of whom had come from abroad.

Huanwen Xie and Changting Chen (in the main picture), who are working with motor and generator performance design at ABB in China, were pleased with what they had learned during the course: 鈥淏asically, every lecture gave some new knowledge, especially about electrical engineering, because we are both mechanical engineers by education. Discussions with other participants and the professors were also an opportunity to learn more about the topic.鈥

Vesa H枚ltt盲, Product Development Engineer at Sulzer, who is working with compressors, joined the course to get an overall picture of rotordynamics. 鈥淚 feel that the lectures were really useful for my work, and the course taught me some details that were not that clear to me before. I would recommend this course to anyone who is working with these topics and wishes to get a cross-disciplinary approach to rotordynamics,鈥 says Vesa.

Aalto University / Rotordynamics course - Anouar Belahcen and Vesa H枚ltt盲
Professor Anouar Belahcen from Aalto University and Vesa H枚ltt盲 from Sulzer.

The next PhD course is scheduled for May 2019 and the topic will be 鈥淪uperconducting Materials and Applications鈥. 鈥淲e hope to see active participation both from PhD students and the industry in the next round, as well,鈥 says Anouar Belahcen.

Text and photos: Silja Kaurala

  • Updated:
  • Published:
Share
URL copied!

Read more news

Close-up of a complex scientific instrument with golden components and various wires, in a laboratory setting.
Press releases Published:

Time crystals could power future quantum computers

A time crystal, a long-life quantum system approaching perpetual motion, has been hooked up to its environment for the first time, unlocking an intriguing way to increase quantum computational and sensing power.
Person standing outdoors in autumn, wearing a grey hoodie and green jacket. Trees in the background with orange leaves.
Appointments Published:

Introducing Qi Chen: Trustworthy AI requires algorithms that can handle unexpected situations

AI developers must focus on safer and fairer AI methods, as the trust and equality of societies are at stake, says new ELLIS Institute Finland principal investigator Qi Chen
A person wearing a light grey hoodie stands indoors with a brick wall and green plants in the background.
Appointments, University Published:

The research puzzle of when humans and AI don鈥檛 see eye to eye

Francesco Croce works on robustness in multi-modal foundation models
Eric Malmi in Otaniemi, in front of Laura K枚n枚nen's Glitch artwork. Photo: Matti Ahlgren.
Appointments Published:

A rap algorithm led him to research language models at Google DeepMind 鈥 now Eric Malmi returns 柠檬导航 as an adjunct professor

Eric Malmi received his PhD from Aalto University in 2018 with a dissertation that developed AI methods for linking historical records and family trees. At Google DeepMind he has developed Gemini language models and a chess AI. He returned to his alma mater because of ELLIS Institute Finland.