Thomas Pretz Livres

AuszugPreface Single grain separation by means of externally identifiable properties which can be determined with suitable detectors is defined as Sensor based Sorting. This technology revolutionised the design of dry working processes in the field of waste treatment as well as in mineral processing methods. In principle most of modern sensor based sorting machines consist of a conveyance system for dissemination and singling of the feed material, a sensor system for the recognition of specific material properties, a software controlled electronic device for the interpretation of data received from the sensor system and a pneumatically working discharge device for the separation of positively detected components. Today newly developed machines often are equipped with a combination of different sensors in order to recognise multiple material properties in a single step whereas the sensor data are evaluated in real-time by a computer system. As a consequence, these machines guarantee a better separation efficiency in comparison with single sensor devices especially for sorting of complexly composed material mixtures with a high variety of qualitative characteristics. A special advantage of modern machines is their learning aptitude which is based on software-controlled data processing. This feature allows an increased adaptability especially with regard to changes of the process flow sheet, the input material composition or altered product qualities of the recovered materials. Finally, in order to achieve effective separation results with sensor based sorters it is of major importance to condition the feed material on sorters before entering the detection zone. This mainly concerns the singling of the different components in the feed material. Thus, single particles should not touch or overlap each other in order to achieve a mono-layer. The most common method to reach this goal is to employ a cascade of different belt conveyors and/or inclined sliding chutes with increasing transport velocities. The application of sensor-based sorters in mineral as well as in recycling processing exhibits great advantages as new separating criteria are made accessible. In addition, the continuing development of new sensor systems keeps opening up innovative fields of operation. Remarkable progress concerning novel sensors and sensor combinations has been achieved in the past years. This is the reason to conduct the fourth conference “Sensor Based Sorting 2010” which again aims to support the exchange of experiences between operators, machine suppliers and researchers.

Kreislaufwirtschaft ohne sensorgestützte Sortierung? 9 Prof. Dr.-Ing. Thomas Pretz Sensor-based Sorting of Metalliferous Ores – An Overview 11 Prof. Dr.- Ing. Hermann Wotruba; Dipl.-Ing. Fabian Riedel Neuentwicklungen im Bereich der automatischen Wertstoffsortierung 13 Dipl. Ing. (FH) Peter Mayer Wertschöpfungspotentiale durch sensorgestützte Sortierverfahren bei der 15 Schrottaufbereitung Christian H. Bosch DE-XRT sorting of Coal 17 Dr. ir. Tako P. R. de Jong Potential und Grenzen sensorgestützter Sortiersysteme 19 Dr.-Ing. Holger Kattentidt Sortieren mit Hilfe von RFID-Systemen 21 Prof. Dr.-Ing. Jürgen I. Schoenher, Dipl.-Ing. Markus Reichmann, Dipl.-Ing. Toni Baloun, Prof. Dr.-Ing. Michael Zocher; Prof. Dr.-Ing. habil. Gert Schubert Sensor based Metal sorting in Recycling – Practical experiences 23 Dr.-Ing Ulrich Kohaupt Dem Chloratom auf der Spur – Sortierung von Ersatzbrennstoffen 25 Ernie Beker Laser-Induced Spectroscopy for Minerals Online Analyses 27 Dr. Michael Gaft Automatic Sorting Devices for different Applications 29 Nicolas Stein Modular aufgebaute optische Sortiersysteme für neue Anwendungen 31 Dr. Kai-Uwe Vieth, Dr. Thomas Längle, Dipl.-Ing. Günther Struck High-Speed Optical Sorting Technology: Processing Newspaper 33 at Paperinkerays Oy Heikki Melajärvi Opto-elektronische Sortierung von transparenten und nicht-transparenten 35 Schüttgütern Dr. Diego Freydl Scale Up Issues on Mineral Optical Sorting Plants: Bridging the Gaps 37 in Sorting Quality Hayley Cheesman, Carl Bergmann Shredder Practice for Preparation of Nonmetallic Concentrates and Potential 39 for Particle Sorting of These Concentrates Dr. Adam J. Gesing Sorting of Disseminated Sulphide Ore by X-Ray Transmission and 41 Electromagnetic Sensors Prof. Dr.-Ing. Hermann Wotruba; Dipl.-Ing. Fabian Riedel Ersatzbrennstoffherstellung mittels NIR-Technologie 43 Thomas Nisters The Application and Utilization of Sensor Based Sorting Technology 45 in the Automobile Shredding Industry. James Mosebach Anwendungsmöglichkeiten von Spectral Imaging in der Recyclingindustrie 47 Dipl.-Ing. Raimund Leitner Identifikation und Separation von Lignin zur Produktion von holzfreiem Papier 49 Felix A. Hottenstein, Sales Director Optical Sorting of Tanzanite Concentrate 51 Lütke von Ketelhodt, Johan Jacobs Hochauflösende NIR-Spektroskopie zur 53 Sortierung von Wertstoffen Dr. Volker Rehrmann Verbesserung der optischen Sortierbarkeit von mineralischen Schüttgütern 55 Michael Sniehotta, Frank Thiede Separation von chlorhaltigen Kunststoffen durch 57 Röntgentransmissionsbildverarbeitung Dipl.-Ing. Frank van de Winkel Potential von Lasermethoden für die Online-Analyse von Stoffströmen 59 Dr. Joachim Makowe, Dipl.-Ing. (FH) Andrea Löbe Erkennung dunkler Kunststoffe mittels laserinduzierter Fluoreszenz 61 Gero Vinzelberg, Stefanie Sandlöbes

Sensor-based sorting technologies have been in use for around 30 years and have become an indispensable component for the processing of primary and secondary raw materials. With the technologies available today, such as multisensory technology and machine learning, individual particles and material flows can be comprehensively characterized. This renders the possibility to use sensors not only for the actual sorting process, but also for the targeted control and monitoring of material flows as well as the control of entire process chains. Based on these new tasks and strong demand for the optimization of existing technology, development is still ongoing. New developments and applications of sensor-based sorting and process control for primary and secondary raw materials are key aspects of the 8th International Conference “Sensor-Based Sorting & Control 2018”. Organizers are the Department of Processing and Recycling (I. A. R.) and the Unit of Mineral Processing (AMR) of RWTH Aachen University as well as the Aachen Know-How Centre Resource Technology (AKR) and RWTH International Academy.

New developments and applications of sensor-based sorting and process control for primary and secondary raw materials are key aspects of the conference “Sensor-Based Sorting & Control 2016”. Organizers are the Department of Processing and Recycling (I. A. R.) and the Unit of Mineral Processing (AMR) of RWTH Aachen University as well as RWTH International Academy. From EU policy there is an increasing demand for improved material recovery and resource efficiency, in both primary and secondary raw materials sectors. The key technology for sophisticated material recovery is sensor-based sorting, a method well known in the food and agriculture industry for a long time. Due to intensive technical development over more than 20 years today solutions for a wide spectrum of sorting tasks are available. Based on new tasks and a strong demand to optimize existing technology development is still ongoing and new solutions are offered frequently. Upcoming tasks are fine particle separation and the identification of more and more heterogeneous compounds with hidden low concentrated valuables. Technical solutions are possible based on intensive communication between operators, engineers and scientists.

Hand picking is the oldest sorting method for purifying raw materials, but the demands of industrial processes have pushed manual sorting to its limits. The rapid development of data processing since the 1980s has enabled significant advancements in automated sorting, particularly benefiting the recycling industry through the recognition of material properties and pneumatic sorting of material streams. Multi-sensor technologies effectively address the challenges of identifying both low and high mass particles, as well as complex material compositions. While sensor-based sorting has thrived in recycling, its potential in the minerals industry is still emerging. The integration of traditional processing methods with sensor-based systems is paving the way for more applications in this sector. Sensor systems enhance human senses, delivering consistent results and extending perception into electromagnetic ranges beyond human capability. Innovations in the chemical, medical, and food industries have influenced the state-of-the-art sensor technologies in raw materials. The sixth expert conference on "Sensor-Based Sorting" explores new developments in automatic separation techniques for raw materials, focusing on systems that analyze feed material with sensors for selective discharge of components. Advances in sorting industrial minerals, metal ores, plastics, and more are discussed. However, limitations in current sensor technology h

Sensor-based sorting is a cutting-edge innovation in mineral processing and secondary raw materials. This method utilizes single particle separation, featuring key components such as a vibrating conveyor for precise feeding, a conveyance system for sorting, an emitter system for electromagnetic radiation, and a sensor system to detect material attributes through modified radiation. Data from the sensors is interpreted by a software-controlled electronic device, and a pneumatic discharge device separates identified components. Modern machines often combine various sensors to identify multiple material properties simultaneously, with real-time data evaluation enabled by advanced computer systems. This rapid technological progress allows for the handling of large data volumes and enhances the machines' learning capabilities, making them adaptable to changes in process flow, material composition, and product quality requirements. Significant advancements have also been made in sensor development, covering an electromagnetic spectrum from visible light to X-rays, enabling the detection of materials with grain sizes over 1 mm. The ongoing integration of new sensor systems continually expands operational possibilities. The benefits of sensor-based sorting in mineral processing and recycling are substantial, leading to the organization of the fifth conference “Sensor Based Sorting 2012” to foster collaboration among operators, sup

Single grain separation for contact-free detection of externally identifiable and measurable separation parameters is defined as sensor-based sorting. This technology revolutionised the design of dry separation processes in the field of waste treatment as well as in mineral processing methods. These techniques allow the design of recovery processes with increased sorting efficiency. This leads to increased resource efficiency and therefore to a higher grade of sustainability. The bi-annual conference “Sensor-based Sorting” held in Aachen arrests interest for this technology. This could easily be proven with the steadily growing number of conference participants. Researchers, appliers and plant operators are attracted by the chance to get latest information about new developments, ideas and tendencies considering sensor-based sorting. This monograph contains an excerpt of the presentations that were held at the conference during the years 2008 to 2010.

Die Sensorgestützte Sortierung, im englischen Sprachraum auch als Automatic Picking bezeichnet, stellt die wichtigste Innovation in der Aufbereitung fester Stoffe dar. Der Anwendungsbereich dieser Technologie wird laufend erweitert und umfasst im weitesten Sinne Sortierprozesse, die vor allem im Bereich der Behandlung von mineralischen Rohstoffen, Abfallgemischen und Schrotten zunehmend zum Einsatz kommen. Dies war die Motivation zur Durchführung der der ersten Fachtagung Sensorgestützte Sortierung 2004. Im Rahmen der Veranstaltung wird ausschließlich über solche Sortierverfahren berichtet, die mittels intelligenter Sensorik unterschiedliche Merkmale des Aufgabegutes detektieren, um sodann positiv erkannte Bestandteile selektiv auszutragen. Inhalt Einsatz der sensorgestützten Sortierung bei der Aufbereitung von Mineralstoffen 9 Prof. Dr.- Ing. Hermann Wotruba; Dipl.-Ing. Fabian Riedel Wo stände die Abfallaufbereitung ohne sensorgestützte Sortierung? 11 Prof. Dr.-Ing. Thomas Pretz Sortierverfahren zur Gewinnung von Vorprodukten für die Kunststoffverwertung 13 Dr. Joachim Christiani Stand der automatischen Trenntechnik in der Altglasaufbereitung 15 Dipl.-Ing. (FH) Peter Mayer Neue Möglichkeiten der Metallsortierung durch den Einsatz von 17 Mehrsensorsystemen Dipl.-Ing. Hartmut Harbeck Erzeugung von Sekundärbrennstoffen aus Hausmüll in der Praxis - WSAA Neuss 19 Dipl.-Ing. Wolfgang Peters, Dipl.-Ing. Jürgen Hüskens Neue Sensor-Technologien zur Hart-Weich-Trennung 21 Dr. Rainer Köhnlechner, Michela Pelliconi Erfahrungen mit der sensorgestützten Metallsortierung 23 Dr. Uwe Habich Developments in and applications of dual energy X-ray transmission 25 Prof. ir. Wijnand L. Dalmijn, dr. ir. Tako P. R. de Jong Intelligente Prozesse für automatisches Sortieren mit Sensoren 27 Dr. Holger Kattentidt Neues Sortierverfahren für die Trennung von Al-Schrotten in 29 unterschiedliche Legierungen Dipl.-Ing. Stefan Mutz, Professor Dr.-Ing. Thomas Pretz NIR-basierte Identifikation von Ersatzbrennstoffen unter 31 Berücksichtigung chlorhaltiger Materialien Dipl.-Ing. Thomas Erdmann Erfahrungen und Möglichkeiten der Kunststoffartentrennung 33 im Bereich der LVP Sortierung Peter Hermes Sortierung verschiedener Materialien mit Mogensen MikroSort® 35 Dipl.-Ing. Eckhard Zeiger Praktische Aspekte bei der NE-Metallseparation im industriellen Umfeld 37 Dipl.-Ing. Marc D. Faller, MBA (Brunel Univ.) Sortierung technischer Kunststoffe 39 Ernie Beker Sortierung mineralischer Rohstoffe mit Multisensorik 41 Dipl.-Ing. Fabian Riedel Sortierung von NE-Metallen und Edelstählen 43 Christian Bosch Die neue modulare Sortiermaschine des Typs „RHEWUM Datasort“ 45 für die mineralische Aufbereitung Dr.-Ing. Matthias Coppers, Dipl.-Ing. Sigurd Schütz Revolutionäre Möglichkeiten der Sortierung mit analytischer NIR Technologie 47 Ernie Beker Polymersortierung aus gemischter DSD-Sammelware 49 Dipl.-Ing. (FH) Christoph Bach Klassifizierung von Mineralien mit Hilfe des Röntgentransmissionsverfahrens 51 Dipl.-Ing. Hartmut Harbeck