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Master Thesis: Development of a platform for digital blade dynamic product experience
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Be part of an open and dynamic workplace where professional and personal development is high on the agenda. By making sustainable energy solutions more cost effective, developing new technologies for the future's smart industry and electrifying passenger and freight transport, we make reality of our vision of a sustainable world.
The Master Thesis project at Siemens Industrial Turbomachinery AB in Finspång, Sweden, aims at developing a platform to store, analyze and visualize key blade parameters of different engines with respect to the dynamic behavior.
Whole Engine department
We are 14 persons who are responsible for rotor and blade dynamics as well as secondary air systems in our gas turbines (Power output: 15-57 MW). Our main working tasks are development of existing and future engines. We also give support to other departments such as manufacturing, sales, commissioning and service.
The development process for new engines take generally years. Every engine consists of a large part of components. One of the key parts on the core-engine is the blades, which are responsible for producing the work required. Each of these components is subject to different vibration challenges due to its interaction with the flow and thus each of them has a specific dynamic behavior.
The amount of information produced during the design process and later during engine tests is really valuable and generally stored in reports. However, the historical overview of how the blades behave is only partially kept in the minds of some few experts that have been in the business for decades.
With the increasing computer power today, more simulations are being performed, and products are produced faster, and engine data is produced more frequently. The thesis project aims at developing a platform to store, analyze and visualize key blade parameters of different engines with respect to the dynamic behavior, including simulation and/or available testing data.
The student will work close together with the experts in the field to understand what information is valuable and how the information should be handled to maximize the data learning experience and visualization.
The platform should allow simple interfacing from a user, both to access the information as well as to upload information.
We prefer that the work is started in January 2019 and is finished in the spring or summer. Main supervisor will be Maria Angelica Mayorca, who is the Key Expert in the Blade Dynamics and Aeromechanics.
Who are you?
- You are a Master Thesis student within relevant areas.
- Previous experience with modern programming languages (e.g. Java, Python, php, perl, C++, Matlab, - Visual Basic, SQL, .NET)
- Previous experience with GUI development and data analysis and visualization
- Highly motivated and with high interest in understating the project challenges. With initiative on providing ideas to aid achievement the objectives successfully
- Ability to work both under supervision and independently
- Ability to promote open discussions, and prepared to give and receive feedback
- Experience on areas related the mechanical engineering is a plus but not required
We prefer that the work is started in January/February 2019 and is finished in the spring or summer.
Siemens Industrial Turbomachinery AB offer products and solutions for generating sustainable and resource efficient electricity. Our customers include utilities, independent power producers and companies in the oil and gas industry.
Turn challenges into opportunities
Our energy system is undergoing rapid changes and the world's energy use is steadily increasing.
These challanges require innovative solutions and products that combine both physical and digital technology,
which cover the entire energy value chain.
Siemens energy portfolio extends from the latest in compressors, turbines and
generators to virtual power plants, smart network management and innovative
storage solutions. Everything is backed by a comprehensive service offering
range and genuine commitment to meeting our customers' individual needs.
If you’re excited to shape the innovations of tomorrow, we want to hear from you. You’ll join 372,000 of the smartest minds all working together to build a better future. See more on Siemens.se
Do not hesitate - apply today and no later than November 30.
Please note that the role might be added before last application date. You will be based in Finspång, Sweden. For questions about the role please contact recruiting manager Patrik Rasmusson on tel: +46 (0)122 (8)87926 or contact the Master Thesis supervisor: Maria Mayorca on tel: +46 (0)122 82594. For questions about the recruitment process contact Malin Tallberg on tel. +46 (0)122 81381.
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