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 help engineers to run accurate simulations and optimize the aircraft shape and design for maximum efficiency.
Engineers can identify high drag and turbulence areas in the simulations, make precise adjustments to mitigate drag, optimize wing shape, and improve airflow control. This reduces fuel consumption, lowers emissions, and promotes sustainable aircraft designs.
This is important because aerodynamics plays a vital role in the fuel efficiency and performance of aircraft.
Within the aviation industry, digital twins utilize big data to allow for the streamlining of processes, identification of future challenges, and acceleration of new tech.
Through the digital twin, new practices can be attempted without impacting the original enabling companies to answer the “what if” scenarios. These also provide companies with huge datasets which can then be used throughout the business.
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.
Sensors placed on typical landing gear failure points, such as hydraulic pressure and brake temperature, provide real-time data to help predict early malfunctions or diagnose the remaining lifecycle of the landing gear
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.
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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