Innovación y gestión de programas colaborativa y sincronizada para nuevos programas
Ever stricter noise and emission regulations put enormous pressure on gas turbine engine makers. At the same time, energy efficiency, reliability and safety are function-critical. Overall performance, as a combination of these design criteria, depends on the interaction of an ever-increasing amount of highly specialized subsystems. Both in terms of structure and process, jet engine assemblies are very complex and require the collective knowledge of multiple domain experts.
To develop aircraft engines that have the right balance between functional performance requirements, manufacturers require an engineering platform that provides an integrated view of a large set of disciplines. At the same time, they also need the most advanced tools for individual applications. The right solution will support the decision-making process by delivering deep engineering insight on all levels, from component to full system, while also facilitating data streams between specialists.
Siemens Digital Industry Software uniquely combines robust design space exploration, scalable multi-physics, dynamics and CFD capabilities, industry-leading physical testing and experienced engineering services to support aircraft engine design from concept to certification. In addition, our solutions include dedicated tools for very specific aircraft engine design applications, including combustion, rotor dynamics, thermo-mechanical structural analysis, turbine testing and more.
Suscríbase a las actualizaciones de [[global-preference-center-interest-placeholder]]
This infographic provides an overview of efforts to innovate the future aircraft, highlighting priorities related to making flight sustainable, the...
Aircraft performance engineering: Fly it before you build it
Obtenga más información sobre cómo las empresas de movilidad aérea urbana se benefician del aprendizaje automático para impulsar la innovación en d...
Learn how to evaluate hundreds of designs for ice protection in the time it traditionally takes to look at one.
Accelerate RAMS aerospace processes with a digital risk twin