The heat is on! - From the material characterisation of spent refractory bricks to sensor training (practical examples from Project ReSoURCE)
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
Refractory products are essential for high-temperature industrial processes, from steel and cement production to waste incineration and many more. Harsh environmental conditions in these applications result in the frequent renewal of refractory lining.
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
Refractory products are essential for high-temperature industrial processes, from steel and cement production to waste incineration and many more. Harsh environmental conditions in these applications result in the frequent renewal of refractory lining.
Implementation and evaluation of a real-time capable approach to sensor-based sorting using CNNs
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
In state-of-the-art optical sorting, engineered image processing algorithms are commonly used to identify materials. However, for complex material textures and high- ensity material streams, these approaches are often unable to maintain the desired sorting quality. Convolutional neural networks (CNNs) have been proven to outperform such approaches in their ability to classify objects in images.
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
In state-of-the-art optical sorting, engineered image processing algorithms are commonly used to identify materials. However, for complex material textures and high- ensity material streams, these approaches are often unable to maintain the desired sorting quality. Convolutional neural networks (CNNs) have been proven to outperform such approaches in their ability to classify objects in images.
I-STEP – A Case Study: Machine Learning Powered Condition Monitoring of a Linear Motion Industrial Vibrating Screen
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
Vibrating Screens, crucial in mineral and waste processing industries, usually lack adequate condition monitoring to assess condition states or predict machine errors. Addressing this issue, IFE Aufbereitungstechnik GmbH and its partners are developing "i-STEP," a digitalization solution potentially integrating any market-available sensor for a customizable, plant- wide monitoring platform. Thus far, a vibration sensor, "SES" has been developed to specifically measure oscillation patterns of vibrating screens, which is the main focus of this research.
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
Vibrating Screens, crucial in mineral and waste processing industries, usually lack adequate condition monitoring to assess condition states or predict machine errors. Addressing this issue, IFE Aufbereitungstechnik GmbH and its partners are developing "i-STEP," a digitalization solution potentially integrating any market-available sensor for a customizable, plant- wide monitoring platform. Thus far, a vibration sensor, "SES" has been developed to specifically measure oscillation patterns of vibrating screens, which is the main focus of this research.
Comparative Analysis of Transfer and Continual Learning for Vision-Based Particle Classification in Plastics Sorting for Recycling
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
In this study, we evaluate the effectiveness of transfer and continual learning techniques for vision-based trash particle detection and classification in plastics recycling. This task poses unique challenges for vision-based methods due to the great variety of particles in recycling material flows, their variability over time, and the lack of real recycling industrial datasets available for research.
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
In this study, we evaluate the effectiveness of transfer and continual learning techniques for vision-based trash particle detection and classification in plastics recycling. This task poses unique challenges for vision-based methods due to the great variety of particles in recycling material flows, their variability over time, and the lack of real recycling industrial datasets available for research.
The Allegory of Stupidity and Waste
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
This paper on the allegory of stupidity and waste is a more or less daring view on tomorrow’s capabilities in global waste management. A society facing seemingly unresolvable ecological challenges seems to be immune to its own overconsumption.
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
This paper on the allegory of stupidity and waste is a more or less daring view on tomorrow’s capabilities in global waste management. A society facing seemingly unresolvable ecological challenges seems to be immune to its own overconsumption.
Recycling paper and board from mixed waste streams: Determining data
requirements for a reliable environmental assessment
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
To increase the recycling rate of paper and board, we investigate how yet unexploited paper and board from lightweight packaging waste can be recycled. Therefore, an environmental assessment via life cycle assessment (LCA) is crucial for the project to determine if the benefits from recycling exceed the efforts needed.
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
To increase the recycling rate of paper and board, we investigate how yet unexploited paper and board from lightweight packaging waste can be recycled. Therefore, an environmental assessment via life cycle assessment (LCA) is crucial for the project to determine if the benefits from recycling exceed the efforts needed.
Measuring the Flow Properties of Secondary Plastics
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
Recycling of plastics, particularly in high-value applications, is essential for sustainable resource management and achieving climate targets. A critical challenge lies in developing robust processing methods that ensure consistent feeding of secondary raw materials into recycling machinery.
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
Recycling of plastics, particularly in high-value applications, is essential for sustainable resource management and achieving climate targets. A critical challenge lies in developing robust processing methods that ensure consistent feeding of secondary raw materials into recycling machinery.
CEFoodCycle - Circular Economy: Mapping Food Streams and Identifying Potentials to Close the Food Cycle
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
Applying the concept of the Circular Economy (CE) to the food stream (production, use, disposal), the project CEFoodCycle creates a homogenized methodology to avoid food waste, re-use resources, and to close food cycles.
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
Applying the concept of the Circular Economy (CE) to the food stream (production, use, disposal), the project CEFoodCycle creates a homogenized methodology to avoid food waste, re-use resources, and to close food cycles.
Assessing Climate Neutrality and Circularity in LCA – Methodology and Application in a Case Study
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
Climate neutrality and circularity are two main challenges and can only be addressed by the methodology of dynamic Life Cycle Assessment (LCA), where GHG emissions, resource demand and material recovery are calculated over the life time from construction, operation until the end of life management.
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (12/2024)
Climate neutrality and circularity are two main challenges and can only be addressed by the methodology of dynamic Life Cycle Assessment (LCA), where GHG emissions, resource demand and material recovery are calculated over the life time from construction, operation until the end of life management.
Development of physical-biological filters for groundwater remediation of
tetrachlorethen and naphthalene
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (11/2022)
Groundwater contamination by anthropogenic organic compounds represent a serious threat to water resources, which therefore have to be remediated to be available for future use. In addition, such remediation actions are often time and cost intensive. Hence, the overall goal of the presented project is the development of a physical-biological ex-situ filter for their effective removal.
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (11/2022)
Groundwater contamination by anthropogenic organic compounds represent a serious threat to water resources, which therefore have to be remediated to be available for future use. In addition, such remediation actions are often time and cost intensive. Hence, the overall goal of the presented project is the development of a physical-biological ex-situ filter for their effective removal.
