Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Software tool will help engineers design jet engines

14.10.2002


Purdue University researchers have created a software tool that is more than 100 times faster than other programs used by engineers to improve jet engine designs



The software analyzes engine models and quickly extracts information that indicates whether the design is mechanically sound, said Mario Rotea, a professor in Purdue’s School of Aeronautics and Astronautics.

Considering the complex inner workings of a jet engine, software aimed at predicting how well a new design will function can be cumbersome and time-consuming. Jet engines house numerous rotating disks containing blades. The mechanical properties of these blades are difficult to predict because they change as they wear and because no two blades are perfectly identical: they emerge from manufacturing with minute variations in geometric shape and mechanical properties.


"But even tiny variations can lead to drastic changes in vibration levels, compromising engine performance and reliability," Rotea said.

Conventional software aimed at evaluating the mechanical properties of blades can take weeks or longer to predict how well the "bladed disks" will work.

However, time is money in industry, and for efficiency’s sake engineers cannot afford to wait weeks for a program to crunch data.

"If it takes a month to give you the answer, that’s not very practical," Rotea said. "What we developed was a technique that is much more intelligent."

Rotea presented new findings about the software tool in July during the 38th Joint Propulsion Conference and Exhibit in Indianapolis and also during the 15th World Congress on Automatic Control in Barcelona, Spain.

Engine designers use computer models to test designs before actually building an engine. The models predict how the multitude of critical engine parts will react to factors such as wear or damage and manufacturing variations.

"That’s because it’s less expensive to use models," Rotea said. "Industry has the ability to develop good models to analyze the vibratory responses of bladed disks. But these models are very complicated. They contain lots of unpredictable parameters, and what was lacking, in my opinion, was a good method to analyze those models to help them extract the numbers they need to say, ’This is a good design or this is a bad design.’"

The software he developed with former graduate student Fernando D’Amato is based on an "optimization algorithm," which is a step-by-step procedure for solving a mathematical problem. This algorithm calculates the worst-case vibration level of the blades due to variations in mechanical properties.

A model of the bladed disk and the range of the possible variations are required to run this algorithm. Although it is difficult to predict exactly which variations a specific blade will have, engineers know what the range is.

"Some parameters change during the life of the engine," Rotea said. "For example, you have blades that get nicked or they wear and they change mechanical properties."

"How do you incorporate that into the model? You cannot predict all those variations that the engine will see in the field. But if you know the ranges for these parameter variations, you can determine the worst-case effect the parameter changes will have in the blade stress and vibration levels without actually searching through all possibilities.

"What we did was to develop an optimization algorithm that calculates the things they want much more efficiently," he said. "We use optimization not to do the design but to actually predict the worst-case behavior over a known range of parameters."

The algorithm analyzes one blade, or a small group of blades, and deduces the worst-case vibration level of any blade in the disk.

The time it takes to calculate the worst-case vibration level grows with the number of parameters that must be considered. The optimization algorithm that was developed by Rotea and D’Amato is about one and a half times faster for each parameter, compared with more conventional software tools.

"The more parameters there are, the more time is saved, Rotea said. "That means bigger problems are solved even more efficiently than smaller ones. If there are 60 parameters, the time savings is very large."

He estimates that, for the average job, the tool is more than 100 times faster than other tools on the market.

The work has been funded by the National Science Foundation and private industry.

Writer: Emil Venere, (765) 494-4709, venere@purdue.edu

Source: Mario Rotea, (765) 494-6212, rotea@ecn.purdue.edu

Purdue News Service: (765) 494-2096; purduenews@purdue.edu

Emil Venere | Purdue News
Further information:
http://news.uns.purdue.edu/UNS/html4ever/020903.Rotea.optimize.html

More articles from Information Technology:

nachricht Magnetic Quantum Objects in a "Nano Egg-Box"
25.07.2017 | Universität Wien

nachricht 3-D scanning with water
24.07.2017 | Association for Computing Machinery

All articles from Information Technology >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Carbon Nanotubes Turn Electrical Current into Light-emitting Quasi-particles

Strong light-matter coupling in these semiconducting tubes may hold the key to electrically pumped lasers

Light-matter quasi-particles can be generated electrically in semiconducting carbon nanotubes. Material scientists and physicists from Heidelberg University...

Im Focus: Flexible proximity sensor creates smart surfaces

Fraunhofer IPA has developed a proximity sensor made from silicone and carbon nanotubes (CNT) which detects objects and determines their position. The materials and printing process used mean that the sensor is extremely flexible, economical and can be used for large surfaces. Industry and research partners can use and further develop this innovation straight away.

At first glance, the proximity sensor appears to be nothing special: a thin, elastic layer of silicone onto which black square surfaces are printed, but these...

Im Focus: 3-D scanning with water

3-D shape acquisition using water displacement as the shape sensor for the reconstruction of complex objects

A global team of computer scientists and engineers have developed an innovative technique that more completely reconstructs challenging 3D objects. An ancient...

Im Focus: Manipulating Electron Spins Without Loss of Information

Physicists have developed a new technique that uses electrical voltages to control the electron spin on a chip. The newly-developed method provides protection from spin decay, meaning that the contained information can be maintained and transmitted over comparatively large distances, as has been demonstrated by a team from the University of Basel’s Department of Physics and the Swiss Nanoscience Institute. The results have been published in Physical Review X.

For several years, researchers have been trying to use the spin of an electron to store and transmit information. The spin of each electron is always coupled...

Im Focus: The proton precisely weighted

What is the mass of a proton? Scientists from Germany and Japan successfully did an important step towards the most exact knowledge of this fundamental constant. By means of precision measurements on a single proton, they could improve the precision by a factor of three and also correct the existing value.

To determine the mass of a single proton still more accurate – a group of physicists led by Klaus Blaum and Sven Sturm of the Max Planck Institute for Nuclear...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

Event News

Clash of Realities 2017: Registration now open. International Conference at TH Köln

26.07.2017 | Event News

Closing the Sustainability Circle: Protection of Food with Biobased Materials

21.07.2017 | Event News

»We are bringing Additive Manufacturing to SMEs«

19.07.2017 | Event News

 
Latest News

CCNY physicists master unexplored electron property

26.07.2017 | Physics and Astronomy

Molecular microscopy illuminates molecular motor motion

26.07.2017 | Life Sciences

Large-Mouthed Fish Was Top Predator After Mass Extinction

26.07.2017 | Earth Sciences

VideoLinks
B2B-VideoLinks
More VideoLinks >>>