{"id":8464,"date":"2025-02-19T13:48:33","date_gmt":"2025-02-19T18:48:33","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/academic\/?p=8464"},"modified":"2026-03-26T08:22:57","modified_gmt":"2026-03-26T12:22:57","slug":"how-the-evering-institute-brought-digital-twin-classroom","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/academic\/how-the-evering-institute-brought-digital-twin-classroom\/","title":{"rendered":"How the Evering Institute empowers students to simulate turbojet engine behavior, develop predictive maintenance algorithms and more with the digital twin"},"content":{"rendered":"\n

The Evering Institute at the University of Bordeaux offers a range of training and educational programs in the fields of engineering and life-cycle management of aeronautical systems, from the bachelor to master level.  <\/p>\n\n\n\n

Located in the center of the Bordeaux-M\u00e9rignac airport zone, the Evering Institute benefits from a prime location near several aeronautical companies, allowing for a blend of academic research and industrial partnership projects. Students receive half of their training from academic teaching and the other half from industry professionals with work experience and internships. <\/p>\n\n\n\n

The institute uses extensive equipment to support student learning, including a turbojet engine test bench used for teaching students about engine performance and aeronautical maintenance. <\/p>\n\n\n\n

However, when this engine was unavailable due to a lengthy repair, the institute saw an opportunity to bring the digital twin to the classroom. <\/p>\n\n\n\n

Are you an educator interested in using industry-grade software in your classroom? Apply for a <\/em><\/strong>Siemens software grant<\/em><\/strong><\/a> today.<\/em><\/strong> <\/p>\n\n\n\n

Bringing the digital twin to the classroom <\/h2>\n\n\n\n

With the turbojet engine test bench out of order, the Evering Institute decided to explore the use of the digital twin in the classroom to ensure learning continuity and enhance the classroom with greater capabilities for experimentation and broader access to a lifelike virtual model. <\/p>\n\n\n\n

Multiphysics simulation is rarely taught at universities, but Pierre Francois, an engineering professor at the Evering Institute, elaborated on its value to deepen a students\u2019 understanding of engine behavior: <\/p>\n\n\n\n

“For example, on an aircraft engine, which is not pedagogical equipment, we cannot create and realize states of failure or malfunction of an engine. This can only be done by simulation, hence the importance of teaching it to students so they can simulate or develop future predictive maintenance algorithms.”<\/p>\n\n\n\n

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Our partnership with Siemens is vital. By using the latest technology, we can prepare our students to be ready to hit the ground running in their first job after graduating.<\/p>\nPierre Francois, Engineering Professor at the Evering Institute<\/cite><\/blockquote>\n\n\n\n

Empowering the institute to develop and validate their own turbojet engine digital twin <\/h2>\n\n\n\n

Leading the development of the turbojet engine digital twin was Benjamin Florence, a student at Evering Institute and intern at Siemens Digital Industries Software. <\/p>\n\n\n\n

For Florence to build the digital twin and template for other students, having powerful, easy-to-use software in place was vital. <\/p>\n\n\n\n

“Simcenter Amesim is very intuitive with an extensive help section,\u201d stated Florence.  <\/p>\n\n\n\n

“There are demonstration models that display how simulations work and prebuilt libraries of component models, so we didn\u2019t have to create everything from scratch. There\u2019s also a great schematic logic that enables you to build your entire engine from the different component models.\u201d <\/p>\n\n\n\n

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The comprehensive digital twin is not intended to replace the physical engine, but to be used alongside the engine. “It\u2019s critical for the simulation result to be reliable and trustworthy in aeronautical maintenance,\u201d explained Francois.  <\/p>\n\n\n\n

“By combining our physical equipment with the simulation model, we can show students the sources of uncertainty, orders of magnitude and the cases where there can be incorrect interpretations.\u201d\u00a0<\/p>\n\n\n\n

Watch the video to learn about another exciting application of Simcenter Amesim: simulating and optimizing green hydrogen production systems for efficient, all-season operation<\/em><\/p>\n\n\n\n

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