All four H2020 projects (IMAGE, INSPiRE, SMS, DJINN) focus on aircraft noise — from generation mechanisms to prediction methods to reduction strategies.
CFD SOFTWARE - ENTWICKLUNGS- UND FORSCHUNGSGESELLSCHAFT MBH
Berlin SME developing CFD and aeroacoustic simulation software for aircraft jet noise prediction and reduction.
Their core work
CFD Software GmbH is a Berlin-based SME specializing in computational fluid dynamics (CFD) and computational aeroacoustics (CAA) software development for the aerospace sector. They develop and industrialize simulation methods for predicting and reducing aircraft noise, particularly jet noise and jet-airframe interaction noise. Their work directly supports aircraft manufacturers and engine integrators in meeting increasingly strict noise regulations by providing accurate prediction tools that reduce the need for expensive wind tunnel and flight tests.
What they specialise in
INSPiRE industrialized jet noise prediction methods, DJINN applies hybrid CFD methods, and IMAGE developed noise reduction methodologies — all relying on CFD simulation.
DJINN explicitly lists CAA as a keyword alongside CFD, and INSPiRE focused on industrializing noise prediction — a core CAA application.
DJINN (their largest project at EUR 594K, coordinated) specifically targets jet-installation noise for ultra-high bypass ratio (UHBR) engines — a growing challenge with next-generation engines.
SMS project explored smart morphing and sensing, likely applying CFD to adaptive aerodynamic surfaces for noise and drag reduction.
How they've shifted over time
In their earlier H2020 period (2016–2019), CFD Software participated in broader aircraft noise research (IMAGE) and began leading efforts to industrialize jet noise prediction (INSPiRE), establishing their core simulation capability. By 2020, they had sharpened their focus significantly toward jet-airframe interaction noise for next-generation ultra-high bypass ratio (UHBR) engines, coordinating their largest project (DJINN) with explicit emphasis on hybrid CFD/CAA methods. The trajectory shows a clear move from general noise simulation toward specialized, installation-specific noise problems tied to new engine architectures.
They are positioning themselves as the go-to SME for predicting noise from next-generation engine installations, where UHBR and HBR designs create new aeroacoustic challenges that existing tools cannot handle.
How they like to work
CFD Software balances leadership and partnership equally — they coordinated 2 of their 4 projects and participated in the other 2. With 29 unique consortium partners across 11 countries, they work in moderately sized European consortia typical of Clean Sky 2 and transport research. Their willingness to both lead and contribute as a specialist suggests they are flexible collaborators who can drive a work package or slot into a larger team as the CFD/CAA expert.
They have built a network of 29 partners across 11 countries, reflecting strong pan-European reach within the aerospace noise research community. Their involvement in Clean Sky 2 (CS2-RIA) connects them to major airframers and engine manufacturers.
What sets them apart
CFD Software occupies a rare niche: a small, focused SME that develops production-grade aeroacoustic simulation software rather than just publishing research papers. Their progression from method development to industrialization (INSPiRE) to tackling next-generation engine noise (DJINN) shows they bridge the gap between academic CFD research and industry-ready tools. For consortium builders, they offer deep CFD/CAA expertise without the overhead and competing priorities of a large aerospace corporation.
Highlights from their portfolio
- DJINNTheir largest project (EUR 594K) and most recent coordination role, targeting the specific and growing problem of jet-installation noise in UHBR engines — directly relevant to next-generation aircraft design.
- INSPiREFocused on industrializing jet noise prediction methods — a critical step from research-grade tools to methods usable by aircraft manufacturers in their design workflows.
- SMSSmart Morphing and Sensing represents a diversification into adaptive aerodynamic structures, suggesting CFD Software can contribute beyond pure acoustics to flow control and shape optimization.