Institute for Machine Tools (IfW) at the University of Stuttgart
FOTEC Forschungs- und Technologietransfer GmbH
From Renaissance philosophy to cutting-edge nanotechnology: as one of Europe’s oldest universities, KU Leuven boasts a long tradition of ground-breaking research and high-quality education.
KU Leuven is dedicated to education and research in nearly all fields. Its fifteen faculties offer education, while research activities are organized by the departments and research groups. These faculties and departments, in turn, are clustered into three groups: Humanities and Social Sciences, Science, Engineering and Technology (SET), and Biomedical Sciences. Each of these groups has a doctoral school for its doctoral training programmes. KU Leuven boasts fourteen campuses, spread across 10 cities in Flanders.
KU Leuven is a research intensive university, a setting for both fundamental and applied research, with a strong inter- and multidisciplinary background and a clear international orientation. We aim for research excellence, a contribution to societal and cultural debates and the realisation of a real knowledge society. Individual initiative, critical reflection, collaboration, solidarity, academic freedom, and diversity are key concepts in realising these goals.
Many of the KU Leuven research groups are recognized, world-wide, to be leaders in their field. Beside their focus on basic research, a vivid interest in possible applications is omnipresent and collaboration with other laboratories and with the industry is encouraged.
The machining research group focuses on the investigation, development, and implementation of non-conventional and hybrid processes for the machining of advanced materials and complex shaped components, post processing of additive manufactured parts, and up-coming needs such as the machining of functional surfaces.
The welding group studies different welding processes, implements advanced techniques in weld quality prediction and improvement. Besides the general welding applications, wire and ark additive manufacturing (WAAM) and acoustic emission monitoring are subjects of interest for this research group. WAAM allows fast, material-efficient and environmental friendly production of parts from different kinds of metals using the gas metal arc welding process and a standard welding robot.
Institute of Production Engineering and Photonic Technologies (IFT)
at the Vienna University of Technology
The Institute of Production Engineering and Photonic Technologies (IFT) is part of the Faculty of Mechanical and Industrial Engineering at the Vienna University of Technology. With the working areas of machining and laser assisted manufacturing, the IFT covers a broad field of manufacturing technology and machine tools.
In the development of innovative processes as well as the machine technologies required for them, the institute is considered one of the most important locations of production technology research. Technology transfer through project partnership is an important concern of the IFT to ensure the competitiveness of Austrian companies.
In addition to the research activities in the classical fields of mechanical engineering, the IFT focuses on the development of production technology on current issues such as energy and resource efficiency, micro- to macroscopic scaling of processes and machines, high-performance machining and, above all, the integration of communication and information technologies. On the one hand, we are investigating how classical production technologies can be transferred to new materials and applications, and on the other hand, we are researching the design of future factories and their equipment and IT systems. In close cooperation with project partners, the IFT works on a wide range of manufacturing technology solutions such as 3D printing with the process development and optimization, quality assurance and NC path planning in the metal and plastic processes (LPBF, SLS, DED) in joint research projects and furthermore develops methods and processes for tomorrow's manufacturing.