SciTransfer
Organization

SIEMENS ENERGY AB

Industrial gas turbine engineering firm combining aeromechanics expertise with metal additive manufacturing for high-performance rotating components.

Large industrial companytransportSENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€322K
Unique partners
49
What they do

Their core work

Siemens Energy AB in Finspång, Sweden is an industrial gas turbine engineering and manufacturing site — one of Europe's significant power generation machinery hubs. Their H2020 participation reveals two tightly connected technical strengths: deep expertise in aeromechanical behavior of turbine blades (flutter, forced response, and aeroelastic stability) and hands-on development of metal additive manufacturing processes for high-performance industrial components. In the ARIAS project they contributed as a third-party expert bringing real industrial turbine cases to academic aeromechanics research; in MANUELA they participated directly in building a metal powder bed fusion pilot line with integrated machine learning quality control. Their value to research consortia is industrial grounding — they can validate lab findings against actual rotating machinery operating under real load conditions.

Core expertise

What they specialise in

Turbine aeromechanics — flutter and forced responseprimary
1 project

Contributed as third-party expert in ARIAS (Advanced Research Into Aeromechanical Solutions), covering flutter, forced response, and aeroelasticity in rotating turbomachinery.

Metal additive manufacturing — powder bed fusionprimary
1 project

Participated directly in MANUELA (Additive Manufacturing using Metal Pilot Line), working on powder bed fusion process development, design for AM, and material qualification.

In-line quality monitoring and machine learning for AMsecondary
1 project

MANUELA keywords include in-line control, quality monitoring, and machine learning, indicating engagement with automated defect detection during additive manufacturing.

Post-processing and standardization for additively manufactured partsemerging
1 project

MANUELA also covered post-AM processing, automation, and standardization — the industrialization steps needed to move AM from prototype to certified production.

Evolution & trajectory

How they've shifted over time

Early focus
Turbine aeromechanics and flutter
Recent focus
Metal additive manufacturing for turbines

All three project entries begin in 2018, so chronological evolution within H2020 is minimal — what the keyword data actually shows is a parallel expansion of scope rather than a sequential shift. The ARIAS involvement is narrowly focused on classical turbomachinery aeromechanics (flutter, aeroelasticity), a mature discipline with decades of industrial history at Finspång. The concurrent MANUELA participation signals a deliberate move into additive manufacturing as a production method for turbine components, complete with digital quality assurance and machine learning — disciplines that did not appear in the aeromechanics work at all. The trajectory suggests a company managing both defending deep legacy expertise and actively building the manufacturing technology stack needed for next-generation turbine components.

They are moving toward integrating additive manufacturing directly into turbine component production, with machine learning-driven quality control as the bridge between digital design and certified industrial parts.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European12 countries collaborated

Siemens Energy AB takes no coordinator roles — they join as participant or third-party expert, contributing industrial knowledge and real-world validation capacity rather than driving research direction. Despite a small project count, they reached 49 unique partners across 12 countries, which points to engagement in large, well-networked consortia where their role is to anchor academic findings in industrial reality. For a future partner, this means they bring credibility and test infrastructure, but project leadership and administrative burden stays elsewhere.

49 unique consortium partners across 12 countries from just two projects — a broad network that reflects participation in large pan-European research consortia rather than narrow bilateral collaboration. The geographic spread suggests no strong regional bias; they engage wherever the scientific and industrial problem is relevant.

Why partner with them

What sets them apart

Very few organizations in Europe can offer both aeromechanical validation on operating industrial gas turbines and hands-on additive manufacturing process development for certified turbine parts — Siemens Energy AB Finspång sits at that intersection. For academic researchers in turbomachinery or advanced manufacturing, they represent a direct path from simulation and lab results to industrial-scale testing and eventual certification. A consortium that includes them can credibly claim industrial relevance, which strengthens both impact statements and TRL progression claims.

Notable projects

Highlights from their portfolio

  • MANUELA
    Their only directly funded project (EUR 321,875), covering the full additive manufacturing chain from powder bed fusion through machine learning quality control to standardization — rare breadth for a single industrial participant.
  • ARIAS
    Engaged as third-party expert in a large aeromechanics research initiative, signaling that Siemens Energy Finspång is considered a reference industrial site for turbomachinery flutter and forced response research in Europe.
Cross-sector capabilities
manufacturingenergydigital
Analysis note: The project list contains a duplicate ARIAS entry (identical dates, sector, and keywords), leaving only two distinct projects to analyze. All projects began in 2018, so temporal evolution is inferred from keyword breadth rather than genuine chronological shift. The profile is supplemented by publicly known context about the Finspång site as an industrial gas turbine facility; conclusions grounded solely in CORDIS data should be treated as directional rather than definitive.