Refine
Year of publication
Document Type
- Conference Proceeding (22) (remove)
Has Fulltext
- yes (22)
Is part of the Bibliography
- no (22)
Keywords
- Gießerei (3)
- foundry (3)
- Elektrospinnen (2)
- Energieeinsparung (2)
- Ganzzahlige lineare Optimierung (2)
- Molecular switches (2)
- Triazole (2)
- batch-wise parallel process (2)
- dwell-time (2)
- linear integer programming (2)
- optimal scheduling (2)
- soft constraint (2)
- 2D data processing (1)
- Ablaufplanung (1)
- Adaptive IT Infrastructure (1)
- Adhäsion (1)
- Anergy (1)
- Bahnplanung (1)
- Batteriefahrzeug (1)
- Battery Electric Vehicles (1)
- Betriebsdatenerfassung (1)
- Biokunststoff (1)
- Chargenbetrieb (1)
- Composite materials (1)
- Data handling (1)
- Datenerfassung (1)
- Digital storage (1)
- Dimension 2 (1)
- District Heating (1)
- Drehkolbenverdichter (1)
- Dynamic identification (1)
- Dynamic modelling (1)
- Dynamische Modellierung (1)
- Electrospinning (1)
- Energiemanagement (1)
- Energieverbrauch (1)
- Exergie (1)
- Exergy (1)
- Fernwärmeversorgung (1)
- Fertigung (1)
- Fertigungslogistik (1)
- Finite-Elemente-Methode (1)
- Flachheitsbasierte Vorsteuerung (1)
- Flexible Struktur (1)
- Gemischt-ganzzahlige Optimierung (1)
- Heat Pump (1)
- Hilfsprogramm (1)
- Industrial robots (1)
- Industrie 4.0 (1)
- Industrieroboter (1)
- Industry 4.0 (1)
- Informationsmanagement (1)
- Integration (1)
- Kinematic calibration (1)
- Kinematik (1)
- Kleben (1)
- LSTM (1)
- Lean Production (1)
- Leistungssteigerung (1)
- Leitstand (1)
- Low Exergy Heat Net (1)
- MIMOS II (1)
- Management (1)
- Mathematisches Modell (1)
- Mikro-Kraft-Wärme-Kopplung (1)
- Mischanlage (1)
- Modellprädiktive Regelung (1)
- Mössbauer (1)
- Mößbauer-Spektrometer (1)
- Mößbauer-Spektroskopie (1)
- NMPC (1)
- Nachhaltigkeit (1)
- Neuronales Netz (1)
- Nichtlineare modellprädiktive Regelung (1)
- Niederdruckplasma (1)
- Online-Trajektoriengenerierung (1)
- Optimale Kontrolle (1)
- PPS (1)
- Path accuracy (1)
- Polymere (1)
- Polymers (1)
- Portable Micro-CHP Unit (1)
- Produktionslogistik (1)
- Produktionsprozess (1)
- Prozessoptimierung (1)
- Prüfstand (1)
- Realisierung (1)
- Regalbediengerät (1)
- Regalförderzeug (1)
- Rissausbreitung (1)
- SCO (1)
- SOA (1)
- SYCAT (1)
- Sakura Science Program (1)
- Serviceorientierte Architektur (1)
- Signal processing (1)
- Signalverarbeitung (1)
- Smart Society (1)
- Society 5.0 (1)
- Software (1)
- Software-Tool (1)
- Spannungsintensitätsfaktor (1)
- Spin crossover (1)
- Strategie (1)
- Techno-Economic Analysis (1)
- Test Bench (1)
- Thermal Storage (1)
- Thin film (1)
- Transmission measurement setup (1)
- Triazole complexes (1)
- Umweltbilanz (1)
- Verbesserung (1)
- Verbundwerkstoff (1)
- Verweilzeit (1)
- Vorbehandlung <Technik> (1)
- Waveguides (1)
- Wellenleiter (1)
- Werkzeug (1)
- Wärmepumpe (1)
- Wärmespeicher (1)
- Wärmeübertragung (1)
- Zeitreihe (1)
- application (1)
- attributional LCA (1)
- bio-based plastics (1)
- biocomposites (1)
- combined heat and power (1)
- consequential LCA (1)
- constraint pushing (1)
- crack propagation rate (1)
- dynamic programming (1)
- dynamic trajectories (1)
- eco-design (1)
- energy management (1)
- finite element method (1)
- flatness-based control (1)
- flexible structure (1)
- hemp (1)
- increasing continuous differentiability (1)
- industrial production process (1)
- life-cycle-assessment (1)
- mixed-integer programming (1)
- model predictive control (1)
- moving average filter (1)
- natural fiber (1)
- neural network model (1)
- online trajectory generation (1)
- prediction methods (1)
- real-time application (1)
- scheduling (1)
- stress intensity factor (1)
- time-series forecast (1)
Institute
- Fakultät II - Maschinenbau und Bioverfahrenstechnik (22) (remove)
The miniaturized Mössbauer-spectrometer (MIMOS II), originally devised by Göstar Klingelhöfer, is further developed by the Renz group at the Leibniz University Hanover in cooperation with the Hanover University of Applied Sciences and Arts. A new processing unit with a two-dimensional (2D) data acquisition was developed by M. Jahns. The advantage of this data acquisition is that no thresholds need to be set before the measurement. The energy of each photon is determined and stored with the velocity of the drive. After the measurement, the relevant area can be selected for the Mössbauer spectrum. Now we have expanded the evaluation unit with a power supply for a MIMOS drive and a MIMOS PIN detector. So we have a very compact MIMOS transmissions measurement setup. With this setup it is possible to process the signals of two detectors serially. Currently we are working on a parallel signal processing.
A new type of rotary compressor, called “rotary-chamber compressor”, consists of two interlocking rotors with 4 wings each, that perform non-uniform rotary movements. Both rotors have the same direction of rotation, while one rotor is accelerating, the other rotor is retarding. After surpassing a specific mark, the sequence changes and the leading rotor begins to retard and vice versa. Due to the resulting relative phase difference, the volume between the two wings is changing periodically, which allows pulsating working chambers. The technology was first introduced by its founder Jürgen Schukey in 1987. Since then, no further development on this machine is known to us except our own. In this contribution, a study on the kinematics of the rotary-chamber-compressor is presented. Initial studies have shown that changes in the kinematics of the rotors will have a direct influence on the thermodynamical variables, which, if optimized, can lead to an increased performance of the machine. Therefore, a mathematical model has been developed to obtain the performance parameters from different kinematic concepts by using numerical CFD analysis. Furthermore, additional optimization possibilities will be listed and discussed.
We present a feedback-corrected optimal scheduling approach to reduce the demand of electrical energy of batch processes, exemplified at the sand preparation in foundry. The main energy driver in the exemplary foundry is the idle time of the batch-wise working sand mixers. In this novel approach, we use linear integer programming to minimize the demand of energy of the sand mixers by scheduling the batches in real-time. For the optimization we use a physical model of the sand preparation, which takes dwell-times of the processes as dead-time systems into account. In this paper, we present the steps to make the optimal scheduling approach applicable for the production process. The application at the real production plant proves the performance of the suggested approach. Compared to the conventional control, the feedback-corrected optimal scheduling approach leads to an reduction in energy consumption of approximately 6.5 % without modifying the process or the aggregates.
Flatness-based feedforward control is an approach for combining fast motion with low oscillations for nonlinear or flexible drive systems. Its desired trajectories must be continuously differentiable to the degree of the system order. Designing such trajectories, that also reach the dynamic system limits, poses a challenge. Common solutions, like Gevrey functions, usually require lengthy offline calculations. To achieve a quicker and simpler industrial-suited solution, this paper presents a new online trajectory generation scheme. The algorithm utilizes higher order s-curve trajectories created by a cyclic filtering process using moving average filters. An experimental validation proves the capability as well as industrial applicability of the presented approach for flexible structures like stacker cranes.
Techno-economic analysis that allocate costs to the energy flows of energy systems are helpful to understand the formation of costs within processes and to increase the cost efficiency. For the economic evaluation, the usefulness or quality of the energy is of great importance. In exergy-based methods, this is considered by allocating costs to the exergy instead of energy. As exergy represents the ability of performing work, it is often named the useful part of energy. In contrast, the anergy, the part of energy, which cannot perform work, is often assumed to be not useful.
However, heat flows as used e.g. in domestic heating are always a mixture of a relative small portion of exergy and a big portion of anergy. Although of lower quality, the anergy is obviously useful for these applications. The question is, whether it makes sense to differentiate between exergy and anergy and take both properties into account for the economic evaluation.
To answer this question, a new methodical concept based on the definition of an anergy-exergy cost ratio is compared to the commonly applied approaches of considering either energy or exergy as the basis for economic evaluation. These three different approaches for the economic analysis of thermal energy systems are applied to an exemplary heating system with thermal storages. It is shown that the results of the techno-economic analysis can be improved by giving anergy an economic value and that the proposed anergy-cost ratio allows a flexible adaptation of the evaluation depending on the economic constraints of a system.
The technical, environmental and economic potential of hemp fines as a natural filler in bioplastics to produce biocomposites is the subject of this study – giving a holistic overview. Hemp fines are an agricultural by-product of the hemp fibres and shives production. Shives and fibres are for example used in the paper, animal bedding or composite area. About 15 to 20 wt.-% per kg hemp straw results in hemp fines after processing. In 2010 about 11,439 metric tons of hemp fines were produced in Europe. Hemp fines are an inhomogeneous material which includes hemp dust, shives and fibre. For these examinations the hemp fines are sieved in a further step with a tumbler sieving machine to obtain more specified fractions. The untreated hemp fines (ex work) as well as the sieved fractions are combined with a polylactide polymer (PLA) using a co-rotating twin screw extruder to produce biocomposites with different hemp fine content. By using an injection moulding machine standard test bars are produced to conduct several material tests. The Young’s modulus is increased and the impact strength reduced by hemp fines. With a content of above 15 wt.-% hemp fines are also improving the environmental (global warming potential) and economic performance in comparison to pure PLA.
In vielen Fällen muss vor dem Kleben eine Klebflächenbehandlung durchgeführt werden, da Klebverbindungen mit unvorbehandelten Teilen häufig zu geringe Klebfestigkeiten und/oder eine unzureichende Alterungsbeständigkeit aufweisen. Zur Klebflächenbehandlung stehen unterschiedliche Verfahren zur Verfügung. Wenn mit mehreren Behandlungen klebtechnisch einwandfreie Verbindungen hergestellt werden können, gilt es, das Verfahren zu ermitteln, welches am besten in den Fertigungsfluss integriert werden kann und die geringsten Kosten verursacht. Dabei muss auch die Arbeitssicherheit und der Umweltschutz mit beachtet werden. Zur Beurteilung der Verfahren werden Bewertungskriterien gegeben. Die Verfahren werden abschließend kurz charakterisiert.
l. Einleitung/Ausgangssituation - Auswirkungen unabgestimmter Prozesse - Prozeßnahe Werkstattsteuerungen 2. Defizite, Prozeßanforderungen - Daten-Anforderungsprofil - Datenvolumen-Trichtermodell - Argumente für Leitstand-Einsatz 3. Integrierter Leitstandeinsatz - Top-Down-Ansatz - Integrierte Regelkreise - Hierarchisches Planungs- und Steuerungskonzept 4. Abgrenzung zwischen Leitstand-, PPS und BDE-Funktionen - Ressourcen-Verfügbarkeitsanforderungen - Leitstand-Funktionsumfang - Integrierter Logistik-Sollablauf 5. Kennzeichen der 2ten Leitstandgeneration - Wissensbasierter LS-Einsatz - Event-Steuerungen 6. Anforderungsgerechte Leitstandeinführung - CIM-house-Modell - Mitarbeiter-Anforderungen
This paper presents a cascaded methodology for enhancing the path accuracy of industrial robots by using advanced control schemes. It includes kinematic calibration as well as dynamic modeling and identification. This is followed by a centralized model-based compensation of robot dynamics. The implemented feed-forward torque control shows the expected improvements of control accuracy. However, external measurements show the influence of joint elasticities as systematic path errors. To further increase the accuracy an iterative learning controller (ILC) based on external camera measurements is designed. The implementation yields to significant improvements of path accuracy. By means of a kind of automated ”Teach-In”, an overall effective concept for the automated calibration and optimization of the accuracy of industrial robots in high-dynamic path-applications is realized.