A5021572335- Optical measurement and interference techniques
- Epoxy Resin Curing Processes
- Textile materials and evaluations
- Structural Health Monitoring Techniques
- Material Properties and Processing
- Composite Material Mechanics
- Laser-Plasma Interactions and Diagnostics
- Mechanical Behavior of Composites
- High-Velocity Impact and Material Behavior
- Electromagnetic Launch and Propulsion Technology
- Infrastructure Maintenance and Monitoring
- Industrial Vision Systems and Defect Detection
- Advanced Measurement and Detection Methods
- Image Processing Techniques and Applications
- Advanced Measurement and Metrology Techniques
- Machine Learning in Materials Science
- Infrared Target Detection Methodologies
- Wind Energy Research and Development
- Mineral Processing and Grinding
- Infrared Thermography in Medicine
- Additive Manufacturing and 3D Printing Technologies
- CCD and CMOS Imaging Sensors
- Structural Analysis and Optimization
- Advanced Numerical Analysis Techniques
- Architecture and Computational Design
Leibniz-Institut für Verbundwerkstoffe GmbH
2019-2025
Quality Systems (United States)
2005-2017
Lawrence Livermore National Laboratory
2006
Akonia Holographics (United States)
2005
Selective Laser Sintering (SLS) is an additive manufacturing process that uses a laser to fuse powdered starting materials into solid 3D structures. Despite the potential for fabrication of complex, high-resolution structures with SLS using diverse (including biomaterials), prohibitive costs commercial systems have hindered wide adoption this technology in scientific community. Here, we developed low-cost, open-source system (OpenSLS) and demonstrated its capacity fabricate nylon...
Due to the aging global civil infrastructure (e.g. bridges), there is a critical need for monitoring and assessing structural integrity of large scale structures. According ASCE, in 2008, average bridge U.S.A. was 43 years old 161,892 bridges were structurally deficient or obsolete. Currently, health assessed primarily using qualitative visual inspection, which not always reliable because some damage difficult detect, quantify visually, subject human interpretation. Traditional sensors such...
This study introduces a hybrid machine learning-based scale-bridging framework for predicting the permeability of fibrous textile structures. By addressing computational challenges inherent to multiscale modeling, proposed approach evaluates efficiency and accuracy different methodologies combining traditional surrogate models even integrating physics-informed neural networks (PINNs) with numerical solvers, enabling accurate predictions across micro- mesoscales. Four were evaluated: Single...
Abstract The challenge of developing effective multiscale flow simulation methods is to take into account all relevant physical effects from fiber component level, but remain manageable in terms computational effort. A that can potentially be met by incorporating data‐driven machine learning the approaches, for example, substituting simulations at microscale where domains have high geometric similarity. 4284 models fibrous structures with several hundred individual fibers and varying...
Abstract Extensive experimental test programs are required for the characterization of textile permeability, which is essential design liquid composite molding processes. In this study, an experimental–numerical approach presented, aiming to partially substitute experiments by numerical simulations. This uses 3D microscale simulations evaluate permeability within rovings and attribute these values statistical volume elements at mesoscale. To further improve accuracy, a calibration method has...
Since years, fiber reinforced polymer composite (FRPC) parts made by Liquid molding (LCM) make up a significant share of the market. In LCM dry reinforcing structure gets impregnated with resin system. Permeability, material parameter key influence on all processes, quantifies conductance technical textiles for flow. Today, when numerical filling simulation is applied process design, large experimental test programs are required characterization permeability, as permeability has to be...
Experiments investigating earthquake response of structures traditionally use conventional wired instruments such as strain gauges, displacement transducers, and accelerometers deployed at key areas interest throughout structure. For wind turbines the rotor is one these areas, but due to rotation it not possible without a special slip ring. In recent experiment conducted using Network for Earthquake Engineering Simulation (NEES) Large High Performance Shake Table (LHPOST) University...
ABSTRACT For fast and complete impregnation in Liquid Composite Molding, knowledge about the permeability of fibrous reinforcement is required. While development experimental methods continues, a parallel benchmark effort to numerically characterize being pursued. The approach was send out images real microstructure number participants, order for them apply their virtual prediction. Via resin transfer molding plate manufactured, using glass woven fabric Hexcel 01102 (295 g/m²) at fiber...
A method for full field measurement of strain (and rate) in split Hopkinson bar experiments (compression, tensile, and shear) is introduced. The measurements are done by using the Aramis three-dimensional image correlation system. system uses two digital high-speed cameras that provide a synchronized stereo view specimen. Depending on number pixels used, capable or recording frames at rate up to about 110,000 per second. Before conducting test, random dot pattern applied surface algorithm...