Digital Twin Technologies for Gas Turbine Engines

Course structure

This course is presented through a mixture of lectures, tutorials and worked examples. Course material in electronic form is provided for delegates use during and after the course. Active participation from the delegates is strongly encouraged particularly during the worked examples in order to consolidate learning. All delegates will receive a Certificate of Attendance upon completion of this course.

Please note the first two days, part of the 4^th day, and the last day of lectures are the same as those in “Gas Turbine Condition Monitoring for Operators” courses. Delegates who have already recently attended the “Gas Turbine Performance” course may feel it more appropriate to attend only the last 3 days of this course. Please indicate clearly on the registration form which option you wish to take.

What you will learn

The aim of the course is to provide an understanding of digital solutions for gas turbine technologies covering gas turbine systems, performance simulations, life consumption analysis, fault diagnostics, cyber security, application of Artificial Intelligence, etc for gas turbine engines.

 

 

Core content

The course consists of the following elements:

• Gas turbine engines and fundamentals
• Performance digital twin technologies for gas turbine engines, including gas turbine steady and transient performance predictions, and performance adaptations
• Gas turbine degradations and gas path condition monitoring
• Digital twin architecture development
• Augmented reality visualisation for maintenance
• Artificial Intelligence (AI) and its applications
• Life usage predictions
• Engine systems and thermal management
• Big data management
• Gas turbine performance evaluation using operational data

Who should attend

The course will be beneficial to engineers and managers in gas turbine or associated industry. Staff of gas turbine manufacturing companies, MRO, airlines, oil and gas organizations, power generation, marine propulsion, etc. will derive great benefits from the knowledge received.

Speakers

The course is presented through lectures and tutorials conducted by members of Cranfield University’s staff all of whom have considerable academic and industrial experience.  Additional lectures will be presented by senior engineers from industry.

Concessions

20% discount for Cranfield Alumni.

10% discount when registering 3 or more delegates, from the same organisation at the same time. 

Accommodation fees are not included in the discount scheme. Please ask about our discount scheme at time of booking.

Accommodation options and prices

This course is non-residential. If you would like to book accommodation on campus, please contact Mitchell Hall or Cranfield Management Development Centre directly. Further information about our on campus accommodation can be found here. Alternatively you may wish to make your own arrangements at a nearby hotel.

Location and travel

Cranfield University is situated in Bedfordshire close to the border with Buckinghamshire. The University is located almost midway between the towns of Bedford and Milton Keynes and is conveniently situated between junctions 13 and 14 of the M1.

London Luton, Stansted and Heathrow airports are 30, 90 and 90 minutes respectively by car, offering superb connections to and from just about anywhere in the world.

For further location and travel details

Location address

Cranfield University
College Road
Cranfield
Bedford
MK43 0AL