FUSION - Forschungsbasierte Koevolution: Transformation des ländlich-industrialisierten Raums als Handlungsfeld der Universität Siegen
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IPEM Maschinenpark
Additive Fertigung
Ponticon pE4D
– 4-Achs-System für die Herstellung von Oberflächen auf rotationssymmetrischen Bauteilen
– Bauteillänge: bis 4.000 mm
– Bauteildurchmesser: bis 450 mm
– Schichtdicken: 0,1-0,6 mm
Blechbearbeitung
TRUMPF TruLaser 1030 Fiber
– Bauraum: 3000 x 1500 mm
– Max. Werkstückgewicht: 930 kg
– Materialdicken: 6 mm bis 20 mm je nach Werkstoff
TRUMPF TruBend 1100
– Max. Biegelänge: 3100 mm
– Max. Anschlagbereich: 880 mm
– Presskraft: 1000 kN
– Max. Blechdicke abhängig von den individuellen Rahmenbedingungen
Brauerei der Zukunft
Buschhütter Brauwerkstatt
– 10 hl Sudwerk
– 60 hl Gär- und Lagertanks
Fassabfüllung
– Party Fass in 10, 20 & 30 Litern mit bayrischem Anstich und DIN KEG
– Edelstahl-Fass in in 30 & 50 Litern mit DIN KEG
Profilbiegen
PBS TUBOTRON VARIO 40 RL
– Rohraufschieblänge: bis 6.000 mm
– Rohrbereich: bis 42,0 x 3,0 mm
– Biegeradius: bis 200 mm
– Biegewinkel: max. 180 °
Zerspanungstechnik
BIMATEC SORALUCE TAM 25
– Verfahrweg der Längsachse (X-Achse): 2.500 mm
– Verfahrweg der Querachse (Y-Achse): 1.200 mm
– Verfahrweg der Vertikalachse (Z-Achse): 1.500 mm
– Max. Außendurchmesser des Werkstücks: 2.100 mm
– Max. Werkstückgewicht beim Fräsen: 5.000 kg (max. 6 rpm)
– Max. Werkstückgewicht beim Drehen: 2.000 kg (max. 400 rpm)
Zerspanungstechnik
DMG MORI DMU 40 Plus
– Verfahrweg der Längsachse (X-Achse): 550 mm
– Verfahrweg der Querachse (Y-Achse): 450 mm
– Verfahrweg der Vertikalachse (Z-Achse): 420 mm
– Max. Außendurchmesser des Werkstücks: 505 mm
– Max. Höhe des Werkstücks: 570 mm
– Max. Werkstückgewicht: 300 kg
Veröffentlichungen
Aktuelle Veröffentlichungen
From theory to application: investigating the generalizability of facility layout problems using a deep reinforcement learning approach
From theory to application: investigating the generalizability of facility layout problems using a deep reinforcement learning approach
Integrating artificial intelligence into energy management: A case study on energy consumption data analysis and forecasting in a German manufacturing company
Integrating artificial intelligence into energy management: A case study on energy consumption data analysis and forecasting in a German manufacturing company
Applications of machine learning in the brewing process: a systematic review
Applications of machine learning in the brewing process: a systematic review
Evaluating early predictive performance of machine learning approaches for engineering change schedule – A case study using predictive process monitoring techniques
Evaluating early predictive performance of machine learning approaches for engineering change schedule – A case study using predictive process monitoring techniques
Optimize existing structures and workflows: Using a real-time locating system (RTLS) to enhance cleanliness in modern production areas
Optimize existing structures and workflows: Using a real-time locating system (RTLS) to enhance cleanliness in modern production areas
Uncovering the behaviour of facility layout problem solutions in relation to factory design applications
Uncovering the behaviour of facility layout problem solutions in relation to factory design applications
Optimize existing structures and workflows: Using a real-time locating system (RTLS) to enhance cleanliness in modern production areas
Optimize existing structures and workflows: Using a real-time locating system (RTLS) to enhance cleanliness in modern production areas
Optimize existing structures and workflows: Using a real-time locating system (RTLS) to enhance cleanliness in modern production areas
Optimize existing structures and workflows: Using a real-time locating system (RTLS) to enhance cleanliness in modern production areas
<sub>E</sub>nhancing Resource Efficiency And Monetization In Metal Recycling Through Supply Chain-Wide Digitalization: An Approach For Single-Variety Metal Stream Optimization And CO2 Reduction
<sub>E</sub>nhancing Resource Efficiency And Monetization In Metal Recycling Through Supply Chain-Wide Digitalization: An Approach For Single-Variety Metal Stream Optimization And CO2 Reduction
Deciding on when to change - a benchmark of metaheuristic algorithms for timing engineering changes
Deciding on when to change - a benchmark of metaheuristic algorithms for timing engineering changes
gym-flp: A Python Package for Training Reinforcement Learning Algorithms on Facility Layout Problems
gym-flp: A Python Package for Training Reinforcement Learning Algorithms on Facility Layout Problems
Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study
Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study
