A5032911612- Additive Manufacturing and 3D Printing Technologies
- Machine Learning in Materials Science
- Fault Detection and Control Systems
- Injection Molding Process and Properties
- Photopolymerization techniques and applications
- Industrial Vision Systems and Defect Detection
- Polymer composites and self-healing
- Laser Material Processing Techniques
- Photonic and Optical Devices
- Scientific Computing and Data Management
- Advanced Surface Polishing Techniques
- biodegradable polymer synthesis and properties
- Rheology and Fluid Dynamics Studies
- Research Data Management Practices
- Advanced optical system design
- 3D Printing in Biomedical Research
- Semiconductor Lasers and Optical Devices
- Enhanced Oil Recovery Techniques
- Orthopaedic implants and arthroplasty
- Petroleum Processing and Analysis
- Laser-induced spectroscopy and plasma
Leibniz University Hannover
2023-2025
Institut für Automatisierung und Informatik
2021-2024
The MaterialDigital initiative represents a major driver toward the digitalization of material science. Next to providing prototypical infrastructure required for building shared data space and working on semantic interoperability data, core focus area Platform (PMD) is utilization workflows encapsulate processing simulation steps in accordance with findable, accessible, interoperable, reusable principles. In collaboration funded projects initiative, workflow group strives establish...
Abstract In rubber extrusion, precise temperature control is critical due to the process’s sensitivity fluctuating parameters like compound behavior and batch-specific material variations. Rapid adjustments deviations are essential ensure stable throughput extrudate surface integrity. Based on our previous research, which initiated development of a feedforward neural network (FNN) without real-world empirical application, we now present real-time system using artificial networks (ANNs) for...
ABSTRACT Rubber mixing is a complex manufacturing process that poses challenges for control due to the high number of variables, including parameter settings, rheological behavior, compound viscosity, and batch-dependent material variations. Already small deviations from variables can influence properties, leading increased scrap rates. To address these challenges, this paper introduces an artificial intelligence–based approach enhance in rubber by predicting temperatures input variables....
The additive manufacturing (AM) of elastomeric parts based on high-viscosity reinforced rubbers has increasingly become a topic scientific research in recent years. In addition to the viscosity, which is several decades higher during processing than viscosities thermoplastics, flowability compound after printing process and necessary chemical crosslinking printed component play decisive role producing an elastic, high-quality, geometrically stable part. After first technological achievements...
ABSTRACT Additive manufacturing of thermoplastics or metals is a well-approved sustainable process for obtaining rapidly precise and individual technical components. Except crosslinked silicone rubber thermoplastic elastomers, there no method additive elastomers. Based on the development elastomers (AME) process, material group rubber-based cured may gain first access to field three-dimensional (3D) printing. Printing crosslinking separated into two steps. In step, printing realized by...
The extrusion process is one of the most important methods for continuous processing rubber compounds. An extruder used to give compound a geometrically defined shape as an extrudate. To ensure that product‐specific requirements are fulfilled, and resulting extrudate currently monitored using various sensor technologies. Nevertheless, certain amount scrap material produced during process, often result unstable conditions. In this context, solution enhancing resource efficiency digitalization...
New solutions are required for short-range optical transmission without lithography due to the complex and inflexible manufacturing processes. Glass is an excellent material applications. Still, few microprocessing technologies available, which limited in precision design freedom. A new glass micromachining process called Laser Induced Deep Etching (LIDE) can accurately machine many types of generating micro-cracks, introducing stress, or causing other damage. This study uses LIDE produce...