Fachbereich Maschinenbau und Mechatronik
Refine
Year of publication
Institute
- Fachbereich Maschinenbau und Mechatronik (278)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (19)
- Fachbereich Elektrotechnik und Informationstechnik (4)
- ECSM European Center for Sustainable Mobility (3)
- Fachbereich Luft- und Raumfahrttechnik (3)
- IaAM - Institut für angewandte Automation und Mechatronik (2)
- Fachbereich Chemie und Biotechnologie (1)
- Fachbereich Medizintechnik und Technomathematik (1)
- IfB - Institut für Bioengineering (1)
Language
- English (278) (remove)
Document Type
- Article (147)
- Conference Proceeding (107)
- Book (8)
- Part of a Book (8)
- Lecture (3)
- Bachelor Thesis (1)
- Contribution to a Periodical (1)
- Doctoral Thesis (1)
- Master's Thesis (1)
- Report (1)
Keywords
- Gamification (4)
- Additive manufacturing (3)
- additive manufacturing (3)
- Actuators (2)
- Additive Manufacturing (2)
- Aktor (2)
- Aktoren (2)
- Brake set-up (2)
- Digital Twin (2)
- Freight rail (2)
- IO-Link (2)
- L-PBF (2)
- Microfabrication (2)
- Rapid Prototyping (2)
- Rapid prototyping (2)
- Sensor (2)
- Sensoren (2)
- Sensores (2)
- factory planning (2)
- fused filament fabrication (2)
- manufacturing flexibility (2)
- rapid tooling (2)
- 10BASE-T1L (1)
- 3D nonlinear finite element model (1)
- 3D printing (1)
- 3D-printing (1)
- 802.15.4 (1)
- Adaptive Systems (1)
- Arduino (1)
- Assembly (1)
- Assessment (1)
- Asset Administration Shell (1)
- Augmented Reality (1)
- Balanced hypergraph (1)
- Binder Jetting (1)
- Bluetooth (1)
- Brake test (1)
- Braking curves (1)
- Business Simulations (1)
- Collaborative robot (1)
- Digital Twins (1)
- Digital manufacturing (1)
- Directed Energy Deposition (1)
- Distributed Control Systems, (1)
- Driver assistance system (1)
- Duality (1)
- Effective modal mass (1)
- Error Recovery (1)
- Ethernet (1)
- Eutectic Silver Copper alloy (1)
- Field device (1)
- Glass powder (1)
- Hall’s Theorem (1)
- Hand-on-training (1)
- Human factors (1)
- Human-Robot interaction (1)
- Humidity (1)
- Hypergraph (1)
- Incident analysis (1)
- Industrial Automation Technology, (1)
- Industrial Communication (1)
- Industry 4.0 (1)
- Knowledge Transfer (1)
- Koenig’s Theorem (1)
- LPBF (1)
- Laser processing (1)
- Laser-Powder Bed Fusion (1)
- Level system (1)
- MEMS ; education and training foundry (1)
- MST (1)
- Matching (1)
- Melting (1)
- Mikrosystemtechnik (1)
- Multi-agent Systems (1)
- Natural frequency (1)
- PROFINET (1)
- Path planning (1)
- Porositat (1)
- Powder Material (1)
- Rapid Technologie (1)
- Rapid manufacturing (1)
- Rapid-prototyping (1)
- Response Surface Method (1)
- SLM (1)
- SOA (1)
- Safety concept (1)
- Sensors (1)
- Serious Games (1)
- Shunting (1)
- Support System (1)
- Suspension bridge (1)
- Technologietransfer (1)
- Thin shell finite elements (1)
- Train composition (1)
- Training (1)
- User study (1)
- VM (1)
- Vertex cover (1)
- Virtual Technology Lab (1)
- Virtual reality (1)
- Virtuelle Maschine (1)
- Virtuelles Labor (1)
- Virtuelles Laboratorium (1)
- Wireless Networks (1)
- Workspace monitoring (1)
- adaptive systems (1)
- additive manufactureing (1)
- assistance system (1)
- autonomous navigation (1)
- compression behavior (1)
- crystallization (1)
- cyber-physical production systems (1)
- digital factory (1)
- event-based simulation (1)
- gamification (1)
- glass (1)
- industrial agents (1)
- infill strategy (1)
- large-scale inspection (1)
- laser based powder fusion (1)
- manufacturing (1)
- manufacturing data model (1)
- mix flexibility (1)
- mobile manipulation (1)
- multi-agent systems (1)
- polyetheretherketone (1)
- polyetheretherketone (PEEK) (1)
- production planning and control (1)
- service-oriented architectures (1)
- surface-orthogonal path planning (1)
- technology diffusion (1)
- technology planning (1)
- technology transfer (1)
- virtual clean room (1)
- volume flexibility (1)
- wind turbine production (1)
Electron beam plasma measurement was realised by means of DIABEAM system invented by ISF RWTH Aachen. The Langmuir probe method is used for measurement. The relative simplicity of the method and the possibility of dispersion of high power on the probe allow its application for the investigation of high-power electron beams. The key element of the method is a rotating thin tungsten wire, which intersects the beam transversely on its axis and collects part of the current by itself. The signals, which are registered in the DIABEAM as a voltage, were taken in the form of amplitude. The conversion of the probe current into the distribution along the beam radius was realised using the Abel’s method. A voltage-current characteristic was built for the beam current. The local electron density as well as the electron temperature, the floating potential and the plasma potential were measured and calculated by means of this characteristic.
Additive Manufacturing (AM) of metallic workpieces faces a continuously rising technological relevance and market size. Producing complex or highly strained unique workpieces is a significant field of application, making AM highly relevant for tool components. Its successful economic application requires systematic workpiece based decisions and optimizations. Considering geometric and technological requirements as well as the necessary post-processing makes deciding effortful and requires in-depth knowledge. As design is usually adjusted to established manufacturing, associated technological and strategic potentials are often neglected. To embed AM in a future proof industrial environment, software-based self-learning tools are necessary. Integrated into production planning, they enable companies to unlock the potentials of AM efficiently. This paper presents an appropriate methodology for the analysis of process-specific AM-eligibility and optimization potential, added up by concrete optimization proposals. For an integrated workpiece characterization, proven methods are enlarged by tooling-specific figures.
The first stage of the approach specifies the model’s initialization. A learning set of tooling components is described using the developed key figure system. Based on this, a set of applicable rules for workpiece-specific result determination is generated through clustering and expert evaluation. Within the following application stage, strategic orientation is quantified and workpieces of interest are described using the developed key figures. Subsequently, the retrieved information is used for automatically generating specific recommendations relying on the generated ruleset of stage one. Finally, actual experiences regarding the recommendations are gathered within stage three. Statistic learning transfers those to the generated ruleset leading to a continuously deepening knowledge base. This process enables a steady improvement in output quality.