- Modeling and Simulation Systems
- 3D IC and TSV technologies
- Advanced MEMS and NEMS Technologies
- Simulation Techniques and Applications
- Real-time simulation and control systems
- Manufacturing Process and Optimization
- Electronic Packaging and Soldering Technologies
- Heat Transfer and Optimization
- Sensor Technology and Measurement Systems
- VLSI and FPGA Design Techniques
- CCD and CMOS Imaging Sensors
- Additive Manufacturing and 3D Printing Technologies
- Acoustic Wave Resonator Technologies
- Scientific Research and Discoveries
- Embedded Systems Design Techniques
- Numerical methods for differential equations
- Fault Detection and Control Systems
- Model Reduction and Neural Networks
- Energy Harvesting in Wireless Networks
- Acoustic Wave Phenomena Research
- Heat Transfer and Boiling Studies
- Structural Health Monitoring Techniques
- Energy Efficient Wireless Sensor Networks
- Refrigeration and Air Conditioning Technologies
- Spacecraft Design and Technology
Fraunhofer Institute for Integrated Circuits IIS, Division Engineering of Adaptive Systems EAS
2007-2019
Fraunhofer Institute for Integrated Circuits
2000-2018
Fraunhofer Society
2005-2015
Marquette University
2014
Co-Simulation is a general approach to simulate coupled technical systems.In master-slave concept the slaves sub-problems whereas master responsible for both coordinating overall simulation as well transferring data.To unify interface between and slave FMI was developed.Using implemented with simple advanced algorithms which can be applied depending on properties of involved simulators.The tested amongst others by coupling SimulationX.
Functional Digital Mock-up (FDMU) and Interface (FMI) are two keywords arising in the last years simulation technology.In this paper, we would like to show that both principles, aiming at a comprehensive investigation of heterogeneous systems, e.g. from mechatronics, not necessarily competing with each other but may be combined benefit ideas behind.The approaches based on different cover aspects interaction modern tools.For reason constraints have considered, which do make things easier.Both...
Systems for measurement of relative displacements or rotations in a single dimension by means Hall sensors are state the art. Fraunhofer HallinOne <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> Technology delivers 3D which can measure complete spatial magnetic field vector as well its change all directions at once. This allows principle design position sensor systems detect six degrees freedom (positions and angles) any device with...
Through-silicon vias (TSVs) present new, essential elements within 3D stacked Integrated Circuits (IC). Since they connect different layers of stacks, their proper operation is an prerequisite for the system function. In this paper a procedure deriving local digital test sequences TSVs presented. The behavior including typical surrounding circuitry investigated under impact assumed faults using fault simulation. purely consideration faulty not sufficient, have to be modeled and analyzed at...
The importance of MEMS optimization concerning performance, power consumption, and reliability is increasing. A variety specialized tools available in the design flow. FEM (ANSYS, CFD-ACE+) are widely used on component level. System level simulations carried out using simplified models simulators like Saber or ELDO. There a lack simulator-independent support. Only few offer capabilities. Our approach aims at flexible combination algorithms by partitioning cycle into simulation, error...
FEM simulation is often a very time-consuming process in the design optimization of complex MEMS. System-level models with reduced order and accuracy have to be generated as basis multi-domain system simulation. A powerful modelling methodology needed develop library MEMS for different physical domains (mechanical, magnetic, fluidic, ...). The components are modelled multi-terminal elements (multipoles) generalized KIRCHHOFFian networks described VHDL-AMS or other model description...
Within this paper a modeling environment for wireless sensor networks (WSN) is proposed. This consists of framework, which represents the behavior in general and library containing simulation models used hardware components (e.g. CPU Transceiver) software stacks. can be easily extended by new component models, node configurations or embedded software. The developed allows WSNs on detailed level including all important parameters like RAM usage, power consumption processor utilization....
Wireless sensor networks (WSN) get increasing importance in different application areas. In building automation, applications on WSN are expected to utilize a large number of nodes heterogeneous environment. They too complex be developed the traditional way prototyping and debugging. fact, new techniques needed support design efficiently. Simulation is one important method decrease time increase quality. This crucial for automation because very high reliability robustness required. this...
The importance of MEMS optimization concerning performance, power consumption, and reliability increases. In the design flow a variety specialized tools is available. For simulation on component level FEM are widely used. Simulations system carried out with simplified models using simulators like Saber, ELDO or Spice. A few offer tool-specific capabilities but there lack simulator independent support optimization. Our approach aims at flexible combination algorithms by partitioning cycle....
Designs of asynchronous networks-on-chip are growing interest because a complete implementation can solve the synchronization problems large networks. However, circuits suffer from lack proper design flows their functionality often relies on timing constraints, which not extensively supported by common CAD synthesis tools. This paper proposes and an router architecture suitable for network-on-chip in context Vision-System-on-Chip. The developed flow bundled-data pipelines is based tools and,...
Design of micro systems, MEMS or mechatronic systems is dominated by the interaction effects from different physical domains. One important approach to decrease number design cycles significantly system level modeling and simulation. The main challenges for efficient use simulation are a systematic behavioral modeling, automated model generation as well powerful frameworks. Especially latter flexible handling models computation crucial.
Digital Mock-up (DMU) is a widely introduced technology to virtually investigate geometrical and mechanical product properties. Functional (FunctionalDMU) combination of traditional DMU with behavioral simulation in mechatronics. Enhancing functional aspects, considerably more insight properties can be gained. To enable FunctionalDMU two main tasks have solved: a) simulators the areas mechanics, electronics, software talk each other (coupling) b) results visualized an interactive...
In the development of Microsystems, FEM simulators are used to investigate behavior system components with high accuracy. Generally, simulations time consuming. System-level models all needed allow a fast but sufficiently exact investigation simulate entire microsystems. Typically, microsystems consist nonelectrical and electronic circuits. Providing for languages t describe subsystems, like Eldo, Saber, VHDL-AMS become more popular in Microsystems. For simple structures such as mechanical...
In this paper we will present a solution for automatic design rule checking (DRC) and layout versus schematic comparison (LVS) of 2.5D/3D systems, which enables an early check subcomponents as well whole system checks. The advantage our approach is the unique data handling different DRC LVS runs, allows derivation partial from one single base. Such essential industrial driven designs 2.5/3D systems. Otherwise, there high risk mistakes related to conversion versioning problems. issues can...
Computer aided MEMS optimization regarding performance, power consumption, and reliability is an important design task due to high prototyping costs. In the flow, a variety of specialized tools available. FEM (e.g. ANSYS, CFD-ACE+) are widely used for simulation on component level. Simulations system level carried out with simplified models using simulators like Saber, ELDO, or Spice. A few offer too-specific capabilities but there lack simulator-independent support optimization. The paper...