Collaborative R&D 2024

Based on the fixed annual contributions of each of the ICTM Industry Partners a set of Collaborative R&D Projects is conducted. These projects allow high synergies and significant benefits of cooperation in particular for pre-competitive issues. All of the Collaborative R&D Projects are defined and conducted on an annual base integrating all partners to input their particular demands and participate in the results. Within the projects specific technology improvement for individual manufacturing processes as well as comprehensive improvement of the entire manufacturing chain also with regard to Digitalization is addressed. The Collaborative R&D Projects are selected by the ICTM Partner Community on the Annual R&D Meeting based on the developed ICTM Roadmap for collaborative R&D.

This roadmap covers a mid-term range and will be extended continuously to derive an annual set of collaborative R&D projects each year. As it is proprietary information to the ICTM, it cannot be disclosed to public in detail.

To complement the annual selection of collaborative R&D projects according to its roadmap the ICTM continuously screens funding opportunities that allow to address strategic topics, which could not be included because of limited collaborative annual budget. To stay independent and without constraints result of the internationality of the Partner Community, the ICTM is able to set-up sub-consortia in addition to the Partner Community with regards to particular funding projects.

Based on the ICTM Roadmap the following projects will be conducted in 2024:

Horizontal Process Chain


Extension LCI-database for further processes (LPBF, Machining) & further indicators beside CO₂

"How to further extend the basic LCI-database for sustainable turbomachinery manufacturing?”

Surface Integrity – Consideration of further manufacturing processes

"How to achieve a standardized evaluation of surface integrity for different machining processes?”

Identification of an optimized dressing strategy for CMC grinding

"How to optimize the dressing process in CMC grinding in terms of dressing tools and dressing parameters?”


Manufacturing of Ni-or Ti-Blisks with (semi-) finishing strategies

"Which semi finishing strategy (milling) is best suited regarding roughing and finishing?”

Advanced Machining


Machining distortion in turning caused by residual stresses

"What are the mechanisms of part distortion in turning turbine discs?”


Data driven wear detection of machine components

"How to make wear of machine tool components measurable by machine-internal data?”


Advanced cutting materials in application for more complex blade geometries

"How to use advanced cutting tool materials SiAlON and BL-PCBN for milling more complex blade geometries?”

Tool condition monitoring for autonomous decision support on machine tools

"Can indirect tool monitoring detect non-uniform tool wear to support autonomous tool change?”


Knowledge-based design of stable milling process using high-productive barrel tools

"How to design a high-productive milling process using barrel tools ensuring stable cutting?”

Additive Manufacturing


Near-net-shape AM and/or repair with EHLA (3D)

"How accurate can turbomachinery components be manufactured/repaired by EHLA?”

Adaptive process control for LPBF – Increasing productivity while maintaining part quality

"How can productivity in LPBF be increased while maintaining part quality using adaptive process control?”


Analysis of different DED powder nozzle types and processing conditions

"How to characterize DED – LB/M nozzle types and processing condition for different applications?”

Assessment of advanced AM alloys for repair/ AM via LMD and LPBF

"What are geometrical limitations of ABD900-AM and AD730 parts manufactured by LPBF & LMD?”

Methodology for material qualification in LPBF

"How to qualify (new) materials for LPBF?”


Assessing the value of manufacturing data along the LPBF process chain

"Which data along the LPBF process chain can be turned into valuable insights?”


Feeding metrology data back into process design to enable closed-loop machining

"How can metrology data be made available in a CAM environment to apply closed-loop machining?”

Collaborative R&D 2024

Collaborative R&D 2023

Collaborative R&D 2022

Collaborative R&D 2021

Collaborative R&D 2020

Collaborative R&D 2019

Collaborative R&D 2018

Collaborative R&D 2017