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INHALTE

Current Projects of TU Ilmenau

Active research projects of the TU Ilmenau with a funding amount of over 0.5 million € for the TU Ilmenau are displayed.
A complete list of research projects can be found here.

DFG: Coordinated Programmes

GRK 1567: Lorentz Force

GRK 1567: Lorentz Force

Lorentz Force Velocimetry and Lorentz Force Eddy Current Testing

Duration: January 2010 – December 2018

Support code: GRK1567/1   GRK1567/2

Project leader: Prof. Dr. Jörg Schumacher

Group: Fluid Mechanics Department: Mechanical Engineering

The measurement of flow velocities in hot and aggressive liquids such as liquid aluminium and molten glass constitutes one of the grand challenges of industrial fluid mechanics. A different, albeit physically closely related challenge is the detection of deeply lying flaws and inhomogeneities in electrically conducting solid materials.
Since 2004, scientists and engineers at Ilmenau University of Technology have been at the forefront of the development of two novel techniques, termed Lorentz force velocimetry and Lorentz force eddy current testing, which promise to meet these challenges. Both techniques are based on measuring a minuscule Lorentz force, which acts upon a magnet system interacting with the moving liquid or solid. Based on the experience existing in Ilmenau in the fields of high-precision force measurement, high-resolution numerical simulation of fluid flows and the solving of inverse magnetohydrodynamic problems, the goal of the Research Training Group is to measure the Lorentz forces whose value is between 1e-11 N and 1 N, and to deduce the desired parameters in fluids and solids by solving inverse problems.
In order to reach this goal, a symbiotic interaction of high-precision experiments and numerical simulations are planned in three fields, namely A - flow measurement in liquid metals, B - flow measurement in electrolytes, C - eddy current testing of solid materials. It is planned to use the research results in collaboration with industry to develop industrial prototypes, which can be commercialised outside the Research Training Group.
The present subject is well suited for a Research Training Group since the different fields of application are connected with each other by three methodological groups, namely MB - magnet systems, KS - force measuring systems, and TS - theory and simulation. The educational programme is characterised by three unique aspects. (1) The graduate students will acquire specialised knowledge in the field of computational engineering. (2) They will be involved in project-specific international collaboration. (3) The graduate students will be encouraged to work in close contact with industry. By virtue of colloquia, an extensive visiting-scientist programme, brainstorming-meetings and regular monitoring, the students will be enabled to complete their PhD within three years.

More: Project page Gepris

GRK 2182: Tip- and laser-based 3D-Nanofabrication in extended macroscopic working areas

GRK 2182: Tip- and laser-based 3D-Nanofabrication in extended macroscopic working areas

Tip- and laser-based 3D-Nanofabrication in extended macroscopic working areas

Duration: April 2017 – September 2021

Support code: GRK 2182/1-2017

Project leader: Prof. Dr.-Ing. Eberhard Manske

Group: Production and Precision Measurement Technology Department: Mechanical Engineering

The semiconductor industry has been following Moore's Law for over 40 years with amazing continuity. In spite of enormous improvements made in the field of optical lithography, it can be expected that structure sizes smaller than 20 nm can be achieved by conventional technology only at considerable expense. Consequently the fundamental challenge is to develop alternative fabrication technologies in particular for micro and nanotechnologies that are capable of measuring and patterning at the atomic scale in growing operating volumes of several hundred millimetres in diameter. Tip-based nanofabrication methods offer high potential in this context. They already enable patterning in sub-10 nm range, but so far only in small processing areas (some 100 m²), at low speed and with limited precision. Optical methods, due to non-linear effects, already allow the generation of subwavelength structures in the plane even in large areas for surface functionalisation. The challenge addressed by our research consortium is to realise such functionalizations on non-planar surfaces, such as aspheres or freeform surfaces. The aim of this proposal is to synergistically combine sophisticated nanofabrication techniques with the outstanding capabilities of Nanopositioning- and Nanomeasuring machines (NPM machines) so that new, multi-scale solutions arise for nanofabrication in large areas. It is to be examined to what extent smallest features can be produced efficiently in large areas by combining the latest AFM tip-based nanofabrication techniques with the NPM technique. Likewise laser-based subwavelength processing methods in conjunction with the NPM-technology shall open up the possibility to enable truly 3D nanofabrication with highest precision on optical and particulary curved precision surfaces. Compared with nanometrology the particular challenge of nanofabrication is that static and dynamic deviations of position lead to errors (geometry errors, deviations in shape, roughness) in the produced nanostructures or nanoscale objects. A post generation correction is possible only in the case of measurement, but not during the production processes. The research consortium can build on a successful multi-year collaboration in the SFB Nanopositioning-and Nanomeasuring Machines, the Research Training Group Lorentz Force and the research project Inno Profiles Force Measurement and the DFG device-center Micro-Nano-Integration at IMN MacroNano® of the TU Ilmenau.

More: Gepris

FOR 1522: MUSIK

FOR 1522: MUSIK

Multi-physical Synthesis and Integration of Complex Radio Frequency Circuits

Support: since 2012

Support code: HE 3642/5-1  HE 3642/5-2  HE 3642/6-1  HE 3642/10-1

Project leader: Prof. Dr. Matthias Hein

Group: Radio Frequency and Microwave Research Department: Electrical Engineering and Information Technology

The key constituents of micro-electromechanical systems (MEMS) are mechanically flexible devices on the micrometre scale, where the mechanical motions can be excited and detected by electrical signals. The Research Unit aims at including the basic functions of MEMS at high frequencies, such as amplifying, controlling, oscillating and switching, into the design of complex radio frequency (RF) circuits. Through the combination of micro-electronic and micro-mechanic properties at device, circuit and system levels, a novel circuit technology "RF micromechatronics" is made accessible. As a consequence, the research focus on RF-MEMS is steered from the technology and single-device levels to an application-oriented system level, e.g., for mobile communications. Resulting from the cooperation of researchers from different scientific disciplines, a core approach of the Research Unit is the multi-physical modelling and simulation, which explicitly accounts for the coupled electric and mechanic properties of MEMS in relation to their mathematical description as well as the physically different effects of electronic and mechanic functions, including their unwanted and wanted parasictics. This fundamental approach is accompanied by a substrate technology tailored to the simultaneous implementation of micro-electronic and micro-mechanic devices, namely by merging silicon and ceramic technologies into a novel compound substrate (SiCer). Only this approach enables a consequent implementation of micro-electromechanical RF circuit technology. The following objectives are jointly addressed, investigated in complementary projects and verified, respectively demonstrated jointly: Model and system design and system analysis of complex RF circuits; integrated micro-electronic-micro-electromechanic RF components and circuits; system simulation and integration analysis of non-ideal RF MEMS; simulations and tests crossing multiple abstraction levels; micro-mechanic and micro-electronic integration in SiCer substrate technology; demonstration of the approach in terms of selected subsystems.

More: Gepris

SPP 1881: Turbulent Superstructures

SPP 1881: Turbulent Superstructures

Turbulent Superstructures

Support: since 2016

Support code: SCHU 1410/23-1

Coordinator: Prof. Dr. Jörg Schumacher

Group: Fluid Mechanics Department: Mechanical Engineering

The classical picture of turbulence which has prevailed since the pioneering works by Kolmogorov from the first half of the last century is that turbulent fluid motion is  characterized by a cascade of vortices and swirls of different sizes that give rise to a featureless and stochastic fluid motion. Our daily experience shows, however, that turbulent flows in nature and technology are often organized in prominent large-scale and long-living structures that can cause extreme fluctuations. The focus of the present proposal are superstructures, i.e., patterns whose coherence does not stop at the natural scale, such as the boundary layer height, but extends over much larger scales. When present, superstructures dominate the global transport of mass, heat and momentum, they act as barriers to transport, and they increase the  variability and fluctuations in the flow.
 
Given the importance of superstructures  for turbulent flows, we know very little about their origins, their dynamics, and their impact on turbulent flow properties. Furthermore, their consequences for the statistical properties of turbulent flows, and their connection to the occurrence of extreme events are poorly understood. It is likely that a better grasp of the physics of superstructures will lead to a better understanding of transport processes in many technological applications such as gas pipes or flows around ships and airplanes, as well as flows in the atmosphere or the ocean. Control strategies that take superstructures and their dynamics into account can result in new methods that reduce the drag of ships and airplanes or enhance the mixing in large industrial devices.

The study of superstructures is now possible due to significant advances in measurement techniques, numerical simulation, and mathematical characterization. Tomographic laser-based measurement techniques can track the dynamics of turbulent structures with unprecedented resolution in space and time. Direct numerical simulations on massively parallel supercomputers have advanced to a level where turbulent flows in extended domains can be simulated at sufficiently high Reynolds numbers and in parameter ranges where superstructures emerge. Efficient methods to characterize dominant vortices and flow structures and to determine  the transport across their  boundaries as well as their dynamical evolution have been developed in applied mathematics. Computer science provides efficient algorithms for the visualization of structures in very large data sets.

Within the priority program we propose to bring these different activities together and to coordinate them in a joint, interdisciplinary effort to unravel the mysteries of superstructures and to arrive at a quantitative characterization of their properties. The priority program will integrate engineers, physicists, applied mathematicians and computer scientists in order to study turbulent superstructures in laboratory experiments and large-scale simulations. The projects will aim

  • to unravel the origin of superstructures and the mechanics of their formation
  • to quantify the fluxes of mass, heat and momentum across the evolving interfaces, and the overall impact of superstructures on global transport and turbulence statistics
  • to develop approaches for the control and the efficient modeling of turbulent superstructures
  • to develop reliable measures for short-term forecasts of extreme events in high-Reynolds number turbulence

More: Project page Gepris

SPP 2037: Scalable Data Management on Future Hardware

SPP 2037: Scalable Data Management on Future Hardware

Scalable Data Management on Future Hardware

Support: since 2017

Support code: SA 782/29-1

Coordinator: Prof. Dr.-Ing. Kai-Uwe Sattler

Group: Databases and Information Systems Group Department: Computer Science and Automation

Over the last years, the social and commercial relevance of efficient data management has led to the development of database systems as ubiquitous and complex software systems. Hence there is a wide acceptance of architectural patterns for database systems which are based on assumptions on classic hardware setups.However, the currently used database concepts and systems are not well prepared to support emerging application domains such as eSciences, Industry 4.0, Internet of Things or Digital Humanities: From a user's perspective flexible domain-specific query languages or at least access interfaces are requires; novel data models for these application domains have to be integrated; consistency guarantees which reduce flexibility and performance should be adaptable according to the requirements; and the volume and velocity of data caused by ubiquitous sensors have to be mastered by massive scalability and online processing. At the same time current and future hardware trends such as many-core CPUs, co-processors like GPU and FPGA, novel storage technologies like NVRAM and SSD as well as high-speed networks provide new opportunities.In order to open up the exemplarily mentioned application domains together with exploiting the potential of future hardware generations it becomes necessary now, to fundamentally rethink current database architectures. Thus, the objective of the priority program is to answer the scientific questions related to these issues. As a result, we expect the development and evaluation of architectures and abstractions for flexible and scalable data management techniques which provide extensibility regarding new data models including processing and access mechanisms for emerging applications, and exploit the features of modern and heterogeneous hardware as well as system-level services.

More: Project page More: Gepris

EU funded projects

CLOVER

CLOVER

Robust Control, State Estimation and Disturbance Compensation for Highly Dynamic

Duration: January 2017 - December 2020

Support code: 734832

Project leader: Prof. Dr.-Ing. Klaus Augsburg

Group: Automotive Engineering Participant in Ilmenau: Thuringian Center of Innovation in Mobility

The main goal of the CLOVER project is to offer a novel methodology in an environmental mechatronic control System design relying on multidisciplinary knowledge. This methodology should allow aspects to be taken into account, such as controller robustness, indirect measurement of system states and  arameters, and disturbances attenuation on the stage of establishing controller architecture. In addition, methods for tuning the control algorithms will be developed and based on the solution of optimization task considering control priorities, such as environment friendliness and energy efficiency. The
implementation of the project CLOVER is based on intensive staff exchange that will lead to collaborative research and training between universities and industrial organizations from Germany, Austria, Belgium, Norway, UK, Mexico, and Japan. To guarantee a strong focus of the project activities on real-world problems, the CLOVER concept is based on the R&D and training in three interfacing topics: “Mechatronic chassis systems of electric vehicles”, “Mechatronic-based gridinterconnection circuitry”, and “Offshore mechatronics”, which will identify and facilitate collaborative learning and production of innovative knowledge. The CLOVER objectives will be achieved through intensive networking measures covering knowledge transfer and experience sharing between participants from academic and non-academic sectors, and professional advancement of the consortium members through intersectoral and international collaboration and secondments. In this regard, the CLOVER project is fully consistent with the targets of H2020-MSCA-RISE programme and will provide excellent opportunities for personal career development of participating staff and will lead to the creation of a strong European and international research group to create new environmental mechatronic systems.

More: CORDIS

DRIVEMODE

DRIVEMODE

Integrated Modular Distributed Drivetrain for Electric/Hybrid Vehicles

Duration: November 2017 - October 2020

Support code: 769989

Project leader: Prof. Dr.-Ing. Susanne Scheinert

Group: Solid State Electronics Department: Electrical Engineering and Information Technology

Within this project a new compact and efficient high speed 30-50 kW electrical machine will be integrated with an efficient fully SiC drive and a gerabox within a powertrain traction module. The electrical machine will have a dry rotor direct liquid cooling system integrated with the cooling system for the SiC drive. This traction module can be mechanically coupled with an axle of a low performance electric/hybrid vehicle, or several units could be coupled directly with the wheels for a high performance vehicle or a light-duty vehicle or a bus. Economic feasibility of mass-manufacturing of different electric machine topologies will be studied to choose the best trade-off between performance, manufacturing cost, and efficiency in the selected performance range. Feasibility of direct drive, single stage, and two-stage switchable high speed gearboxes will be studied as well. The resultant powertrain traction module will be an optimal trade-off between efficiency, manufacturability, and cost, utilizing newest technologies in electrical machines, power electronics, and high speed gearboxes. We will demonstrate the scalability of the solution by embedding several powertrain modules on board a test vehicle.

More: CORDIS

 

 

EMERALD

EMERALD

ElectroMagnetic imaging for a novel genERation of medicAL Devices

Duration: May 2018 - April 2022

Support code: 764479/811274

Project leader: Dr.-Ing. Marko Helbig

Group: Biosignal Processing Deparment: Computer Science and Automation

EMERALD (ElectroMagnetic imaging for a novel genERation of medicAL Devices) is the coherent action of leading European engineering groups involved in electromagnetic (EM) technology for medical imaging to form a cohort of highlyskilled researchers capable of accelerating the translation of this  technology “from research bench to patient bedside”. Nowadays, medical imaging technologies play a key role to face the ever-growing number of challenges due to aging populations, as they are the essential clinical tool to deliver accurate initial diagnosis and monitor the evolution of disease
over time. For this reason, a whole range of new imaging modalities is currently being developed to supplement and support current modalities. Among these technologies, there is EM imaging, which involves the illumination of the portion of the Body under investigation with low-power non-ionizing EM waves (in the microwave spectrum) and the use of the resultant backscattered signals to generate images of the internal structures of the body. The scientific objective pursued by the EMERALD action is to accelerate translation of research in EM medical imaging into clinical prototypes. To this end, EMERALD will establish a group of 13 outstanding early stage researchers who will be the European leaders in this field, through a unique scientific and training programme. The EMERALD trained researchers will drive the future developments of EM imaging technology, thanks to the targeted skills, they will attain, and their established
connections with clinicians and stakeholders. The EMERALD consortium involves academic institutions, industrial partners, hospitals and university medical centers (as partner organizations). The success of EMERALD will ensure that all achieved innovative technological developments will be translated into benefits to the end user community and potentially taken to market, with an impact on both the European society and scientific community.

The main research topic of the ESR position at TU Ilmenau will be design, realization and evaluation of a device for non-invasive tissue temperature monitoring during hyperthermia treatment based on ultra-wideband microwave sensing.

The main objectives of the planned research activities will be:

• Development of a UWB radar methodology for non-invasive tissue temperature monitoring inside the human body during hyperthermia treatment

• Implementation and evaluation of robust and real-time capable signal processing algorithms for remote tissue temperature monitoring

• Imaging of tissue temperature distribution

• Design and test of UWB sensors for co-existence with high power microwave heating applicators

More: CORDIS

Project page

MET4FoF

MET4FoF

Metrology for the Factory of the Future

Duration: June 2018 – May 2021

Support code: EMPIR 17 IND 12

Project leader: Prof. Dr.-Ing. Thomas Fröhlich

Group: Process Measurement Department: Mechanical Engineering

The "Factory of the Future" (FoF) as an inter-connected production environment with an autonomous flow of information and decision-making constitutes the digital transformation of manufacturing to improve efficiency and competitiveness. Transparency, comparability and sustainable quality all require reliable measured data, processing methods and results. This project will establish a metrological framework for the complete lifecycle of measured data in industrial applications: from calibration capabilities for individual sensors with digital pre-processed output to uncertainty quanfification associated with machine learning in industrial sensor networks. Implementation in realisfic testbeds will also demonstrate the practical applicability and provide templates for future up-take by industry.

More: EURAMET

SUITS

SUITS

Supporting Urban Integrated Transport Systems: Transferable tools for authorities

Duration: December 2016 - November 2020

Support code: 690650

Project leader: Prof. Dr. Heidi Krömker

Group: Media Production Department: Electrical Engineering and Information Technology

SUITS takes a sociotechnical approach to capacity building in Local Authorities and transport stakeholder organisations with special emphasis on the transfer of learning to smaller sized cities, making them more effective and resilient to change in the judicious implementation of sustainable transport measures. Key outputs will be a validated capacity building program for transport departments, and resource light learning assets (modules, e-learning material, webinars and workshops), decision support tools to assist in procurement, innovative financing, engagement of new business partners and handling of open, real time and legacy data. SUITS argues that without capacity building and the transformation of transport departments into learning organisations, training materials will not provide the step change needed to provide innovative transport measures.
Working with nine cities to model gaps in their understanding, motivation, communication and work practices, will provide each city with a map of its own strengths and weaknesses with respect to sustainable transport planning. From this, strategies to enhance capacity, based on each authority’s needs will be developed and organisations provided with the necessary techniques to increase their own capacity, mentored directly by research partners. Local champions will be trained to continue capacity building after the project. Using the CIVITAS framework for impact evaluation, the effectiveness and impact of SUITS in enabling reductions in transport problems such as congestion and pollution while improving cities capacity to grow as well as the quality of life for urban dwellers and commuters through the development of inclusive, integrated transport measures will be measured in the cities and at individual, organisational and institutional levels. All project outcomes will be disseminated in a stakeholder engagement program at local, national and EU wide levels, thereby increasing the likelihood of successful transport measures.

More: CORDIS

BMBF: "Unternehmen Region"

Innoprofile Transfer - QUALIMESS

Innoprofile Transfer - QUALIMESS

Intelligente Digitale Mehrkanalbildverarbeitung und Mehrkanalbilderfassung ID2M+

Duration: December 2014 - November 2019

Support code: 03IPT709I

Project leader: Prof. Dr. Gunther Notni

Group: Quality Assurance and Industrial Image Processing Department: Mechanical Engineering

More: Project page

 

 

Structural change - DaQuS (3DStahl)

Structural change - DaQuS (3DStahl)

Multimodale Datenerfassung und Analyse für die Online Qualitätssicherung von Schweißprozessen

Duration: October 2016 - September 2018

Support code: 03PSIPT3A

Project leader: Prof. Dr. Gunther Notni

Group: Quality Assurance and Industrial Image Processing Department: Mechanical Engineering

 

 

 

ZIK - BioLithoMorphy

ZIK - BioLithoMorphy

Assemblierung biologischen Materials mit Hilfe lithographischer Methoden zur Konstruktion dreidimensionaler biologischer Morphologie

Duration: October 2015 - February 2019

Support code: 03Z1M512

Project leader: Prof. Dr. Andreas Schober

Group: Nano-biosystems Technology Participant in Ilmenau: Inter-departmental Center for Micro- and Nanotechnologies (CMN)

More: Project page

 

 

BMBF: "VIP+"

VIP+ - HSC-Nische

VIP+ - HSC-Nische

Nachbildung der Blutstammzellnische durch Kombination neuester mikrobiologischer-medizinischer und biochemischer Erkenntnisse zusammen mit der freien multiskaligen Gestaltung von Mikro- und Nanotexturen mit Hilfe von Polymer-Strukturierungsmethoden

Duration: May 2016 - April 2019

Support code: 03VP00591

Project leader: Prof. Dr. Andreas Schober

Group: Nano-biosystem Technology Participant in Ilmenau: Inter-departmental Center for Micro- and Nanotechnologyies (CMN)

More: Projektwebseite

 

 

 

VIP+ - FreeSense-HT

VIP+ - FreeSense-HT

Strömungssimulation und Anwendungstests

Duration: December 2015 - November 2018

Support code: 03VP00111

Project leader: Prof. Dr.-Ing. Klaus Augsburg

Group: Automotive Engineering Participant in Ilmenau: Thuringian Center of Innovation in Mobility

VIP+ - PLANCK-WAAGE

VIP+ - PLANCK-WAAGE

Selbstkalibrierende Präzisionswaagen für den industriellen Einsatz

Duration: January 2017 - December 2019

Support code: VIP+02581/03VP02581

Project leader: Prof. Dr.-Ing. Thomas Fröhlich

Group: Process Measurement and Sensor Technology Department: Mechanical Engineering

More: Project page

BMWi: EXIST - Research transfer

EXIST Research transfer - ISOS

EXIST Research transfer - ISOS

Integrierte spektraloptische Sensorik

Duration: September 2016 - January 2019

Support code: 03EFHTH024

Project leader: Dr.-Ing. Martin Correns

Group: Quality Assurance and Industrial Image Processing Department: Mechanical Engineering

further projects funded by Federal Government

DIMEBB - KnowHow@ÖV

DIMEBB - KnowHow@ÖV

Duration: October 2016 - September 2019

Support code: 01PD15018A

Project leader: Prof. Dr. Heidi Krömker

Group: Media Production Department: Elelectrical Engineering and Information Technology

More: Project page

EkoMarl

EkoMarl

Entwicklung einer online/offline Mössbauerapparatur am Online-lsotopen- Separator ISOLDE (CERN) zur Untersuchung photokatalytischer Effekte

Duration: July 2016 - June 2019

Support code: 05K16SI1

Project leader: Prof. Dr. Peter Schaaf

Group: Materials for Electronics Participant in Ilmenau: Inter-departmental Center for Micro- and Nanotechnologies

 

 

 

Researchprogram for Human-Technology-Interaction - FRAME

Researchprogram for Human-Technology-Interaction - FRAME

Assistierte "Fahrstuhlnutzung" und "Raumzutritt" für Roboter durch Einbeziehung von Helfern

Duration: July 2017 - June 2020

Support code: 16SV7829K

Project leader: Prof. Dr.-Ing. Horst-Michael Groß

Group: Neuroinformatics and Cognitive Robotics Department: Computer Science and Automation

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IKT 2020 - fast wireless

IKT 2020 - fast wireless

fast wireless

Duration: July 2015 - December 2018

Support code: 03ZZ0505C

Project leader: Prof. Dr. Andreas Mitschele-Thiel

Group: Integrated Communication Systems Department: Computer Science and Automation

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IKT 2020 - SafeMove

IKT 2020 - SafeMove

Emulation von Fahrzeugradaren in der virtuellen Strasse

Duration: January 2017 - December 2019

Support code: 16ES0547K

Project leader: Prof. Dr. Matthias Hein

Group: Radio Frequency and Microwave Research Participant in Ilmenau: Thuringian Center of Innovation in Mobility

Automated and connected driving forms an essential asset of future intelligent and sustainable mobility. The implementation of advanced automated driving functions depends crucially on technological progress in electronic and sensor technologies. The rapid, resilient, and reliable testing and installed-performance evaluation of novel electronic control and sensing systems poses a specific challenge in this context. Given the dra­matically increasing complexity of connec­ted cars, innovative measurement and testing methods are required, reaching well beyond the usual time-consuming and expensive real field and drive tests. The goals of SafeMove are the conceptualisa-tion, implementation, and research of a test and validation platform which enables a reliable and reproducible testing of integrated radar- and camera-based automotive sensor systems for environmental detection. Tools for modeling the wave propagation of radar signals will be devel-oped and combined with a hardware-in-the-loop approach for the emulation of realistic radar targets in real time. Together with the radar system under test, the radar signal model and radar target simulator will be implemented in a virtual radio environment, thus enabling a re-mote-controlled testing and validation of the installed performance of automotive radar sys-tems under realistic operational conditions. This novel procedure has the potential for the devel-opment of standardised test procedures, leading to a drastic reduction of the needs for real drive tests. The industrial-academic consortium develops a powerful test and validation platform for com-plex automotive radar systems for a reliable system performance evaluation of advanced driver assistance systems for future highly and fully automated cars. In addition, the achieve-ments lead to a drastic reduction of design-, development- and test-cycles, altogether meet-ing two major milestones on the way towards an intelligent, sustainable, and safe mobility.

Project page

InnoEMat - GALACTIF

InnoEMat - GALACTIF

Abscheidung von reinen und legierten Refraktärmetallschichten aus ionischen Flüssigkeiten

Duration: June 2016 - May 2019

Support code: 13XP5017F

Project leader: Prof. Dr. Andreas Bund

Group: Electrochemistry and Electroplating Department: Electrical Engineering and Information Technology

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Materialforschung für die Energiewende - MehrSi

Materialforschung für die Energiewende - MehrSi

Hocheffiziente III-V Mehrfachsolarzellen auf Silicium mit Wirkungsgraden>30%

Duration: September 2015 - February 2019

Support code: 03SF0525B

Project leader: Prof. Dr. Thomas Hannappel

Group: Photovoltaics Participant in Ilmenau: Inter-departmental Center for Micro- and Nanotechnologies

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Mittelstand 4.0 - Competency Center Ilmenau

Mittelstand 4.0 - Competency Center Ilmenau

Mittelstand 4.0-Competency Center Ilmenau; TP: Geschäftsstelle und Fab Vernetzung von Maschinen und Prozessen

Duration: October 2016 - September 2019

Support code: 01MF16005A

Project leader: Prof. Dr.-Ing. Jean Pierre Bergmann

Group: Production Technology Participant in Ilmenau: Thuringian Center for Mechanical Engineering

More:  Project page

 

 

German National Strategy on Biodiversity - Flora Incognita

German National Strategy on Biodiversity - Flora Incognita

Interactive Species Identification with Mobile Devices

Duration: August 2014 - July 2019

Support code: 3514685C19

Project leader: Prof. Dr.-Ing. Patrick Mäder

Group: Software Engineering for Safety-Critical Systemes Department: Computer Science and Automation

Globalization, climatic changes, as well as regional landscaping are continuously affecting our natural ecosystem. Declining population numbers of plant species native to Germany can thus be observed as well as the immigration and settlement of invasive plant species. For biodiversity studies, taxonomic and ecological research, and for nature conservation it is essential to quickly and reliably identify plant species in the wild. Ecologists demand more efficient methods for species identification that also enable lay people to monitor biodiversity in the context of Citizen Science projects. In the Flora Incognita project, an efficient and reliable method for species identification is being developed. For this purpose, the analysis of multimodal data is embedded in an interactive process that guides the user reliably and didactically informative through the process of identifying an unknown plant. Reference books needed so far, such as identification keys and atlases, can be replaced by an app that is executable on standard mobile devices. Latest machine learning methods are trained by “deep learning” algorithms on an extensive dataset of currently more than 1,200,000 plant images.

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Photonik - Minimize-Processing

Photonik - Minimize-Processing

Miniaturisiertes, ortsaufgelöstes, multispektrales, echtzeitfähiges Bildverarbeitungssystem für industrielle und biomedizinische Anwendungen

Duration: June 2018 - May 2021

Support code: 13N14835

Project leader: Prof. Dr. Gunther Notni

Group: Quality Assurance and Industrial Image Processing Department: Mechanical Engineering

 

 

6. Energieforschungsprogramm - DynaGridControlCenter

6. Energieforschungsprogramm - DynaGridControlCenter

Ausbau herkömmlicher Übertragungsnetzleitwarten zu zukunftssicheren, dynamischen Leitwarten

Duration: September 2015 - August 2018

Support code: 03ET7541D

Project leader: Prof. Dr.-Ing. Dirk Westermann

Group: Power Systems Participant in Ilmenau: Inter-departmental Center for Energy Technologies

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6. Energieforschungsprogramm - OVANET2_0

6. Energieforschungsprogramm - OVANET2_0

Protection Zones und sicherer bi-/monopolarer Betrieb von HGÜ-Overlaynetzen

Duration: September 2018 - August 2021

Support code: 0350037B

Project leader: Prof. Dr.-Ing. Dirk Westermann

Group: Power Systems Department: Electrical and Information Technology

 

 

 

6. Energieforschungsprogramm - SchuSS

6. Energieforschungsprogramm - SchuSS

Schnelles und Strombegrenzendes Schaltgerät

Duration: November 2015 - May 2019

Support code: 03ET7543B

Project leader: Prof. Dr.-Ing. Thomas Sattel

Group: Mechatronics Department: Mechanical Engineering

 

 

6. Energieforschungsprogramm - VEREDELE

6. Energieforschungsprogramm - VEREDELE

Robuste Steuerung und Regelung von Verteilernetzen mit hohem Anteil regelfähiger Erzeuger und Lasten mit dem Ansatz Flexible AC Distribution Systems

Duration: August 2015 - December 2018

Support code: 0325800B

Project leader: Prof. Dr.-Ing. Dirk Westermann

Group: Power Systems Participant in Ilmenau: Inter-departmental Center for Energy Technologies

More: Project page

 

 

Thuringian Innovation Centres

ThIMo

ThIMo

Thuringian Center of Innovation in Mobility

Support since: April 2011

Support code: 2011 IZ 0001 / 2016 IZN 0010

Project leader: Prof. Dr.-Ing. Klaus Augsburg

Homepage ThIMo

 

 

ThZM

ThZM

Thuringian Center for Mechanical Engineering

InQuoSens

InQuoSens

Thuringian Innovation Center for Quantum Optics and Sensing

Support since: November 2017

Support code: 2017 IZN 0013

Project leader: Prof. Dr.-Ing. Jens Müller

Project partner: Friedrich-Schiller-Universität Jena

InQuoSens brings together excellent and internationally visible research activities of ACP and the Institute for Micro- and Nanotechnologies at the Technical University of Ilmenau (IMN) in the key technologies quantum optics and sensor technology. By means of strategic investments measures and a joint strategy process at both locations, these fields are synergistically developed. InQuoSens coordinates its scientific development with the innovative needs of the Thuringian metrology and communication industry. For example, and together with the Fraunhofer IOF, InQuoSens is currently working on the question of how quantum technologies can be used in autonomous driving or medical diagnostics. Through these activities, InquoSens will develop into an internationally independent center of scientific excellence with a critical mass of competences, which will increase the innovative power of the Thuringian economy. InQuoSens is supported by the State of Thuringia with EUR 3.0 million from 2017 until 2022.

Homepage InQuoSens Ilmenau

Homepage InQuoSens Jena

 

 

ThIMEDOP

ThIMEDOP

Innovation Center for Thuringian Medical Engineering Solutions (Diagnosis, Therapy - Optimisation by optical Technologies) - Jena & Ilmenau

Support since: September 2018

Support code: 2018 IZN 0004

Project leader: Prof. Dr.-Ing. Jens Haueisen

A major idea of the ThIMEDOP Innovation Centre is the creation of a supporting structure with an incubator function for the Thuringian medical technology industry, in which it is possible to identify unmet needs from medical clinical practice. An important assumption is that the planned networking of physicians, engineers and basic researchers with each other and with partners from the medical technology industry in Thuringia will potentially promote translation.

 

 

Thuringian Research Groups

BASIs

BASIs

Erforschung von neuen trockenen Elektrodentechnologien, neuen Quanten- und optisch gepumpten Magnetometern und die Entwicklung von neuartigen Messinstrumenten...

Duration: April 2016 - September 2018

Support code: 2015 FGR 0085

Project leader: Prof. Dr.-Ing. Jens Haueisen

Group: Biomedical Engineering Department: Computer Science and Automation

Many people in old age suffer from neurological or cardiovascular diseases such as heart attacks or strokes. These diseases represent both a massive restriction of the quality of life of the individual and an enormous social and economic problem. Bioelectromagnetic methods are essential for clinical diagnostics in neurology and cardiology and have enormous potential for personalized medical care.

The goal of the BASIs project is the research, development and validation of new sensor technologies and signal analysis methods, which provide the basis for new possibilities in diagnostics and personalized medicine.

The Institute of Biomedical Engineering and Informatics (BMTI) is a world leader in the development of a new class of bioelectrical sensors, the dry electrodes. The Leibniz Institute of Photonic Technology (IPHT) Jena is the world leader in quantum and optically pumped magnetometers. Both sensor types are ideally suited for use in personalized medicine. The Department of Neurology of the UKJ is a leader in the field of stroke and neurorehabilitation. These expertises are to be combined for a new diagnostic system.

The new sensors offer a higher sensitivity, small size and can be arranged flexibly, offering completely new possibilities for signal acquisition and analysis. Therefore, completely new research questions arise, such as the optimization of the sensor arrangement, the combination of electrical and magnetic measurements and methods for the spatial-temporal decomposition of multidimensional data. The new techniques must also be validated, which is achieved by phantom measurements and comparisons with conventional measurement systems.

Bi-PV

Bi-PV

Bifacial – Monofacial: Steigerung der Energieausbeute von Silizium-PV-Modulen

Duration: April 2016 - December 2018

Support code: 2015 FGR 0078

Project leader: Prof. Dr. Thomas Hannappel

Group: Photovoltaics Participant in Ilmenau: Inter-departmental Center for Micro- and Nanotechnologies

DIADEM

DIADEM

3D-Bildaufnahme und -verarbeitung mit höchstem kontinuierlichen Datendurchsatz für die Mensch-Maschine Interaktion und adaptive Fertigung

Duration: December 2016 - August 2019

Support code: 2016 FGR 0044

Project leader: Prof. Dr. Gunther Notni

Group: Quality Assurance and Industrial Image Processing Department: Mechanical Engineering

 

 

 

ELVIS

ELVIS

Elektromagnetische Verträglichkeits-, Funk und Kanalmessungen in der virtuellen Straße

Duration: January 2016 - December 2018

Support code: 2015 FGR 0088

Project leader: Prof. Dr. Matthias Hein

Group: Radio Frequency and Microwave Research Participant in Ilmenau: Thuringian Center of Innovation in Mobility

 

 

FOQUOS

FOQUOS

Thüringer Forschergruppe zu quantenoptischer Bildgebung mit verschränkten Photonen am Thüringer Innovationszentrum lnQuoSens

Duration: March 2018 - February 2021

Support code: 2017 FGR 0067

Project leader: Prof. Dr.-Ing. Jens Müller

Group: Elektronics Technology Participant in Ilmenau: Inter-departmental Center for Micro- and Nanotechnologies

 

 

GreenISAS

GreenISAS

Grundlagentechnologien für autonome, Industrie 4.0 konforme Sensor/Aktor-Systeme

Duration: November 2016 - October 2018

Support code: 2016 FGR 0055

Project leader: Prof. Dr.-Ing. Ralf Sommer

Group: Elektronic Circuits and Systems Department: Electrical Engineering and Information Technology

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Hearing Implants

Hearing Implants

Research group on Innovative methods and technologies for spatial listening and speech intelligibility with hearing implants

Duration: May 2016 - December 2018

Support code: 2015 FGR 0090

Project leader: Prof. Dr.-Ing. Karlheinz Brandenburg and Prof. Dr.-Ing. Thomas Sattel

Groups: Electronic Media Technology and Mechatronics Departments: Electrical Engineering and Information Technology and Mechanical Engineering

Worldwide, the proportion of people with impaired hearing is increasing. This creates an increasing need for hearing rehabilitation. Certain types of hearing impairment require the use of hearing implants. These include cochlear implants (CI) and bone conduction implants (KLI). However, hearing cannot be fully restored by using such an implant. For example, there are deficits in spatial hearing, which lead to restrictions for those affected in various everyday situations. These include reduced or missing abilities to localise sound sources and, as a result, a reduced understanding of speech in noise.

The project goal of the research group is to develop innovative signal processing methods that improve spatial hearing and thus speech understanding with such hearing aids. These methods should be generally applicable for hearing aids on the one hand, and be specially adapted for implant types CI and KLI on the other. The overarching methodological framework is formed by regular perception studies on directional hearing and speech perception with normal hearing and hearing impaired people. The results of these studies are then incorporated into the further development of methods and technologies for CI and KLI.

The project may lead to new methods of signal processing for spatial hearing with hearing implants. These are combined with a biologically inspired strategy for CI and a demonstrator of a piezoelectric KLI. The project results would be innovations in the field of hearing aids, which offer the potential to be developed into marketable products in subsequent transfer projects.

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Impedanzspektroskopische Bioanalytik

Impedanzspektroskopische Bioanalytik

Impedanzspektroskopische Bioanalytik - schnell und hochparallel

Duration: May 2017 - October 2018

Support code: 2016 FGR 0040

Project leader: Prof. Dr.-Ing. Martin Hoffmann (Change at the Ruhr-Universität Bochum)

Group: Micromechanical Systems Participant in Ilmenau: Inter-departmental Center for Micro- and Nanotechnologies

 

 

 

KERBESEN

KERBESEN

Keramische Mehrlagenbauelemente für die Hochtemperatursensorik und -elektronik

Duration: April 2016 - March 2019

Support code: 2015 FGR 0084

Project leader: Prof. Dr.-Ing. Jens Müller

Group: Electronics Technology Particiapant in Ilmenau: Inter-departmental Center for Micro- and Nanotechnologies

Projects aim is the development of LTCC-multilayer technology for operating temperatures between 100-250°C for high-temperature sensor and electronics applications. The investigation of the scientific base for inductive, capacitive and semiconducting sensor materials usable at these high temperatures is underpinned with the study of material interactions giving thus a guideline for the cofiring of such multi-material systems. The focus of the research at IMN MacroNano® is the development of multilayer technologies including design, simulation and manufacturing of multilayer components for high-temperature use and their integration in LTCC multilayer modules.

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KoSiMoLo

KoSiMoLo

Kooperative Wahrnehmung und Situationserkennng

Duration: January 2017 - October 2019

Support code: 2016 FGR 0039

Project leader: Prof. Dr.-Ing. Reiner S. Thomä (emeriti)

Group: Electronic Measurements and Signal Processing Participant in Ilmenau: Thuringian Center of Innovation in Mobility

 

 

MAGSENS

MAGSENS

Ultrasensitive Magnetfeldsensorik mit resonanten magnetoelektrischen MEMS

Duration: January 2018 - December 2020

Support code: 2017 FGR 0060

Project leader: Prof. Dr.-Ing. Hannes Töpfer

Group: Advanced Electromagnetics Particiapant in Ilmenau: Inter-departmental Center for Micro- und Nanotechnologies

Project page

 

 

NEMOFASER

NEMOFASER

Novel concepts for electrical machines based on hybrid fiber composites and aerostatically assisted active parts

Duration: January 2018 - December 2020

Support code: 2017 FGR 0080

Project leader: Prof. Dr.-Ing. Andreas Möckel

Group: Small Electrical Drives Participant in Ilmenau: Thuringian Center of Innovation in Mobility

Against the background of the dynamically developing requirements of electric machines, the NEMOFASER research group focuses on innovative technological concepts and provides methodological principles for subsequent R & D projects. As an interdisciplinary emphasis, novel functional solutions based on the aerostatic assistance of active parts as well as the realization of components with hybrid fiber composites are being investigated. Within the framework of innovation potential, a design methodology for the entire drive system is developed.

TemGro

TemGro

Temperierte Großwerkzeuge

Duration: July 2016 - June 2019

Support code: 2016 FGR 0035

Project leader: Prof. Dr.-Ing. Jean Pierre Bergmann

Group: Production Technology Participant in Ilmenau: Thuringian Center for Mechanical Engineering

Project page

 

 

further projects funded by Thuringian Government

BiRa

BiRa

Facility for Bistatic Radar Cross Sections Measurements of Mobile Objects in VISTA

Duration: January 2018 - June 2020

Support code: 2017 FGI 0007

Project leader: Prof. Dr.-Ing. Reiner S. Thomä (emeriti)

Group: Electronic Measurements and Signal Processing Participant in Ilmenau: Thuringian Center of Innovation in Mobility

Facility for Bistatic Radar Cross Sections Measurements of Mobile Objects in Virtual Street – the VISTA simulation and test facility

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ROGER

ROGER

Roboterassistiertes Gangtraining in der orthopädischen Rehabilitation

Duration: October 2016 - September 2019

Support code: 2015 FE 9088

Project leader: Prof. Dr.-Ing. Horst-Michael Groß

Group: Neuroinformatics and Cognitive Robotics Department: Computer Science and Automation

Project page

 

 

Simulationsplattform

Simulationsplattform

Modulare Test- und Simulationsplattform für Multimodale Energiesysteme

Duration: September 2016 - June 2019

Support code: 2015 FGI 0027

Project leader: Prof. Dr.-Ing. Michael Rock

Group: Lightning and Overvoltage Protection Participant in Ilmenau: Inter-departmental Center for Energy Technologies

 

 

VISTA 4F

VISTA 4F

Virtuelle Straße: Ein Beitrag zur virtuellen Realität mit ganzheitlichem Fokus auf Funk, Fahrbahn, Fahrzeug und Fahrer

Duration: October 2014 - December 2019

Support code: TUI-I-01-14

Project leader: Prof. Dr. Matthias Hein

Group: Radio Frequency and Microwave Research Participant in Ilmenau: Thuringian Center of Innovation in Mobility

 

 

projects funded by Carl-Zeiss-Foundation

CZ-Stiftung: MetroBase

CZ-Stiftung: MetroBase

Neue Metrologische Basis höchster Präzision (MetroBase)

Duration: September 2016 - August 2020

Support code: 0563-2.8/643/2

Project leader: Prof. Dr.-Ing. Eberhard Manske

Group: Production and Precision Measurement Technology Participant in Ilmenau: Inter-departmental Center for Micro- and Nanotechnologies

 

 

 

CZ-Stiftung: PRIME

CZ-Stiftung: PRIME

Projektgruppe Integrierte mm-Wellen-Funktechnik (PRIME)

Duration: March 2016 - February 2020

Support code: 0563-2.8/581/2

Project leader: Prof. Dr.-Ing. Reiner S. Thomä (emeriti)

Group: Electronic Measurements and Signal Processing Department: Electrical Engineering and Information Technology

CZ-Stiftung: QuMeT

CZ-Stiftung: QuMeT

Quantum mechatronics in force measurement and weighing technology (QuMeT)

Duration: January 2018 - December 2021

Support code: 0563-2.8/698/2

Project leader: Prof. Dr.-Ing. Thomas Fröhlich

Group: Process Measurement Technology Department: Mechanical Engineering

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