GalFer_contest
Galileo Ferraris Contest
Comparing data-driven methodologies for the multi-physics simulation of traction electrical machines
Who was Galileo Ferraris
2024/11/19 - Save the date!!! 2024/12/11, 13:00 CET, GalFer Contest first webinar (Link to recording - Link to presentations)
Agenda of the webinar:
- GalFer Contest introduction: operative details and focus on the contest rules
- Workflow process creating the datasets
- Dr. S. Ferrari: magnetic
- Dr. C. Anerdi: elastostatic
- Dr. R. Torchio: thermal
- Multicriteria evaluation of electric motors
- Dr. L. Solimene
- Ranking procedure and Awards
- Prof. M. Repetto
- Focus on preliminary teams’ work and possible problems emerging in dataset handling: free discussion
For information on contest rules and awards, please refer to this link.
List of participants (final)
- Altair E-Motor Team, Altair Engineering France, Grenoble, France
- Brainwave Bulided, Shenzhen MSU-BIT University, Shenzhen, China
- CAD Lab Team, University of Pavia, Pavia, Italy
- CREATORs, TU Darmstad - TU Graz - Siemens AG, Darmstad, Germany
- DK-TIC, DAIKIN Industry, Osaka, Japan
- EATUB, TU Berlin, Berlin, Germany
- ECAD, Dongguk University, Soonchunhyuang University and Hanyang University, Seoul, Republic of Korea
- ELECTA, KU Leuven/Energyville, Leuven, Belgium
- Electric System Design Lab, Hosei University, Tokyo, Japan
- e-Machine Learners, University of Wisconsin-Madison, Madison, United States of America
- GTR, University of Lille, Lille, France
- GTB-ULille, University of Lille, Lille, France
- i3@EPFL, Sonceboz SA, Lausanne, Switzerland
- IEML, Amirkabir University of Technology, Tehran, Iran
- Kangaroos, University of Technology Sydney, Sydney, Australia
- LASEteam, The University of British Columbia, Vancouver, Canada
- Machinery warriors, Rajiv Gandhi University of Knowledge Technology, Nuzvid, India
- ManTriS, Politecnico di Torino, Torino, Italy
- McGill MagNets, McGill University, Montreal, Canada
- MELSUR, Mitsubishi Electric Corporation, Hyogo, Japan
- MLotors, Indian Institute of Technology Bhubaneswar, Jatni, India
- MotorAI, Ritsumeikan University, Shiga, Japan
- Motorplus, Motorplus, Teheran, Iran
- Nature-Inspired Computational Intelligence Lab, Brock University, St Catharines, Canada
- SHIME-PARFAIT, Aoyama Gakuin University, Kyoto, Japan
- The overfitters, Virtual Vehicle Research GmbH, Graz, Austria
- Torque Titans, CG Power and Industrial Solutions Limited, Bhopal, India
2024/10/17 - First release of the dataset for Motor “A”
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the dataset containing input and output data on Motor “A” configuration (details in file “04_Rules.pdf” on main page) has been made available to the teams enrolled in the contest;
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the dataset contains 4096 records obtained sampling an 8-dimensional space of degrees of freedom (input) and computing 7 objectives (output);
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the design objectives are: torque \((T)\), torque ripple \((TR)\), copper mass \((M_\mathrm{Cu})\), magnet mass \((M_\mathrm{mag})\), power factor \((cos(\varphi))\), Von Mises equivalent stress \((VM)\), and maximum temperature on the winding \((Temp)\)
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results are computed applying the workflow described in file “02_contest.pdf”;
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sampling is performed using a Sobol procedure covering the whole hypercube of inputs;
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all 4096 results are reported in datasets, even if some of them should be ruled out due to “unphysical” motor conditions. Advised filtering values are \(VM\leq455 \mathrm{MPa}\) , \(Temp\leq180 \mathrm{C}\). If these values are used, a number of 2765 feasible configurations should be obtained;
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in order to produce graphs with a similar setup, it is advised that all the objectives have to be minimised. As maximum torque and power factor are requested, this implies that the minimum of -Torque and \(-(cos(\varphi))\) are sought;
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four different Pareto optimal subproblems are defined:
- \(2D_1 \rightarrow\) \(O_1=-T\), \(O_2=TR\)
- \(2D_2 \rightarrow\) \(O_1=-T\), \(O_2=VM\)
- \(2D_3 \rightarrow\) \(O_1=-T\), \(O_2=Temp\)
- \(3D_1 \rightarrow\) \(O_1=-T\), \(O_2=VM\), \(O_3=Temp\)
Timeline
- the datasets will be available in September 2024;
- research groups planning to take part in the Contest are invited to submit their intention to join the Contest using the letter of intent following the template provided by mailing it to the address galfercontest@gmail.com, at last by November 15th, 2024;
- sharing of the preliminary results from the research teams and first informal evaluation, by January 15th, 2025;
- publication of the partial dataset on the third machine by January 31st, 2025;
- final results and procedures must be submitted by the research teams by April 15th, 2025;
- award ceremony will be held in a dedicated free workshop during the COMPUMAG 2025 Conference in Naples, June 22-26, 2025.