Digital Twin Training for Aviation Industry
Digital Twin Training for Aviation Industry is a 2-day course that focuses on the value of digital twin technology in the aviation sector.
Participants will examine many aspects of digital twin use cases such as digital twins and predictive maintenance of field assets; digital twins for managing aircrafts, airports, communications, weather issues, natural disasters and other key functions; cost-efficiency, safety, and reliability; and digital Twins for aviation new entrants.
Digital twins present numerous opportunities for businesses in the aerospace industry from extending the life of parts and machines to using data to improve the next iteration of them.
Aerospace companies can use digital twins to improve the engineering of new parts by being able to simulate their performance in a huge variety of conditions such as trying to predict how well an engine will do in extreme weather conditions or what will the engine’s performance be like after 300 hours.
This knowledge can now be obtained and used to improve parts, predict when maintenance is needed, and extend the life span of machinery and vehicles – which means savings for the aerospace company.
In fact, Boeing saw a 40% improvement in first-time quality of parts by using digital twins in development.
In some instances, machines in development will be doing what no machine has done before or will be headed to places where they can’t be tracked, into space for example. With a digital twin, companies have the ability to monitor them digitally and with 147% more accuracy.
Digital twin technology is now blurring the lines between the physical and digital worlds and increasingly enabling aircraft operators to extend the life of their fleet.
Using a digital twin, engineers can accurately determine the life of structural components and this information can then be used to improve performance, generate savings or increase operational flexibility. A digital twin is a dynamic digital representation of an industrial asset that enables better understanding and prediction of the performance of machines in the aviation industry.
Digital twin technology also has been used to train AI to fly autonomous aircraft. AI pilots can get thousands of hours of flight time on a digital simulation in a fraction of that time and learn in days than what it takes, a human pilot, months to experience.
Additionally, a digital twin approach, with appropriate sensors added to the aircraft, enables the load spectrum to be continually updated based on the actual loads the aircraft experiences and the resulting life prediction would be adjusted accordingly. If the aircraft experiences lower loads during service, more flights could be allowed, maintenance intervals could be extended or spare parts taken from retiring aircraft.
Another use case being explored for Boeing aircraft is using a digital twin to achieve a perfect cargo load balance. For example, a Boeing 737-800 has a maximum cargo load of 80,000 kilograms but many planes fly with less cargo as weight figures are calculated manually. By using IoT sensors on a digital twin, a precise and yet safe cargo load can be determined thereby increasing cargo revenue per flight.
Digital Twin Training for Aviation Industry Course by Tonex
Digital Twin Training for Aviation Industry is a 2-day course by Tonex. Digital Twins, the New Technology That Has Doubled in Importance Digital Twins have become doubly important to organizations. Learn principles of Digital Twins and how it relates to integration of Digital Engineering, modeling and simulations, AI/ML, 3D and integration for service and product-related data and systems. Learn How can Digital Twins help the aviation industry.
Audience
- Aviation Professionals
- Enterprise and Solution Architects
- Product Engineers & Designers
- Systems Engineers
- Engineering Project Managers
- Software Developers
- Application Programmers
- Testers
Learning Objectives
Learn principles of Digital Twins and how it relates to integration of Digital Engineering, modeling and simulations, AI/ML, 3D and integration for service and product-related data and systems.
Program Outline
Introduction
- Digital Twin 101
- Types Of Digital Twins
- Digital Twin Market and Trends
- Practical Applications of Digital Twin for Aviation Industry
- Case Studies
- Workshops
Digital Twin 101
- Types Of Digital Twins
- Digital Twin Market for Energy Industry
- What it is, why it matters
- Top Use Cases
- Are digital twins the future of oil and gas?
- Practical Applications
- The Evolution of Digital Twins
Types of Digital Twins
- Capability twin
- System of Systems (SoS) twin
- System or Unit twins
- Subsystem twins
- Component twins/Parts twins
- Asset twins
- Process twins
- Performance measures
- Master, the shadow and the twin
- Related digital twin solutions
The Value of Digital Twins for Aviation Industry
- Digital twins and predictive maintenance of field assets
- Digital twins for managing aircrafts, airports, communications, weather issues, natural disasters and other key functions
- Cost-efficiency, safety, and reliability
- Digital Twins for aviation new entrants
- Digital Twin Solutions for aviation
- Digital Twin, cases studies for aviation industry
Digital Twin Solutions
- Managing Aviation Infrastructure, Assests, People and Procedures
- Airplanes
- UAVs and Drones
- Flying Cars
- Blimps
- Airports and Facilities
- Airspace
- Procedures
- Automation
- Enterprise Servicers
- Intelligence and Navigation
- Surveillance
- Weather and Natural Disasters
Practical Applications
- Case studies
- Workshops
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