ESTECO technology enables airplane manufacturers to improve fuel efficiency, structural performance, aerodynamics and many other aspects in order to satisfy consumer and regulatory constraints.
The aerospace and defense industry faces continuing requirements to develop innovative products faster and at a lower cost. Since these requirements typically lead to conflicting design objectives across several domains, employing Multidisciplinary Design Optimization (MDO) and collaborating in the design process is crucial. Our technology brings enterprise-wide solutions for optimization, simulation data management and process integration and automation.
Applications of ESTECO technology in the aerospace industries
Lowering aircraft drag and structure weight while enhancing the overall environmental performance, perfecting the design of a large external aircraft fuel tank that ensured a maximum range, optimizing the early stage design of a 180 passenger single-aisle aircraft for reducing external noise and fuel consumption; these are just few examples of how our optimization-driven design and simulation data management technology help major organizations as Embraer, Leonardo, Lockheed Martin, Gulfstream and Onera to successfully handle multidisciplinary design projects in a collaborative environment.
- Wing design
- Aeroelastic systems
- Fuselage shape
- Aircraft structural components
- Composite materials
- Metal sheet thermal forming
- Turbine blades
- Acoustic emissions
- Mission design
- Impact damage prediction
Featured Application of ESTECO technology in the aerospace
The webinar presents an overview of the EXPEDITE Program and the role of ESTECO technology will play in order to advance Multi-disciplinary Analysis and Design Optimization (MADO).
In an ambitious collaborative venture, Leonardo is heading the Green Regional Aircraft (GRA) design team of the The Clean Sky Joint Technology Initiative, committed to developing environmentally-friendly aircraft. Seeking the most promising solution for this new generation aircraft, two wing shapes were studied using modeFRONTIER optimization.
The work consisted on optimizing an existing product by integrating several multi-fidelity analysis tools (from preliminary design to certification phase), and applying an efficient optimization algorithm.
The Washington-based startup, which is developing a family of hybrid-electric passenger aircrafts, came to this decision after a thorough competitive analysis that pinpointed modeFRONTIER software as the most suitable to help them push the limits of battery technology and electric propulsion.