Our Digital Twin Architecture…
A digital twin is a physical representation of the system it mirrors. For that reason, its foundation must be physics — not abstraction alone.
At Volantek, we build digital twins by integrating first-principles, low-fidelity models that capture the essential multi-physics governing a system’s behavior. These foundational models are informed by insights derived from mid-fidelity computational databases and strengthened through high-fidelity physics research.
This multi-fidelity, multi-scale approach allows us to improve the reliability of computational tools while preserving tractability at the system level. The result is a tailored digital twin architecture that reflects the true physics of your aerospace system — across scales, disciplines, and operating conditions.
…Delivers Your Competitive Edge
A digital twin becomes truly powerful when it is continuously informed by live data. Physics-based digital twins require fewer monitoring points to accurately map system behavior, enabling deeper insight with less instrumentation.
Modern aerospace systems generate vast, multidisciplinary data streams. Volantek’s digital twin architecture transforms this complexity into clarity — supporting critical decisions across every stage of the system lifecycle.
This translates into tangible advantages: payload efficiency, faster design cycles, improved integration compatibility, enhanced operational control, real-time decision capability, advanced threat recognition, and a more reliable path to regulatory confidence.
Digital Twin Empowers Next-Gen Systems
“The digital twin paradigm for future NASA and US Air Force vehicles” : According to NASA and the U.S. Air Force (2012), digital twins are expected to fundamentally change certification, fleet management, and sustainment by replacing decades of empirical design margins with physics-based lifecycle understanding—leading to higher reliability and reduced structural inefficiency.
“Digital twin: Definition & value” : According to the AIAA Digital Twin studies (2020), digital twins provide measurable value by accelerating the transition from research to deployed aerospace systems, reducing lifecycle cost, and strengthening global competitiveness through improved decision-making and risk reduction.
“Economics of Digital Twins in Aerospace and Defense” : According to Malone (2024), aerospace and defense represented approximately $1.8 billion of the global digital twin market in 2022, with industry projections reaching nearly $270 billion by 2032, and documented aerospace applications reporting up to a 40% improvement in first-time quality.