CFD–DEM modelling of particle ejection by a sensor-based automated sorter

Fitzpatrick, Robert; Glass, Hylke J.; Pascoe, R.D.

doi:10.1016/j.mineng.2015.06.009

Cited by 18 publications

(6 citation statements)

References 12 publications

(10 reference statements)

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“…In the evaluation in our current paper, we assess the accuracy of the predicted time and place at which the separation mechanism is reached. For this, the separation process, which is considered in [22,21], does not need to be modeled. For the angular acceleration dW i dt , the equation for the ith particle is…”

Section: Experimental Platform and Simulation Methodologymentioning

confidence: 99%

Predictive tracking with improved motion models for optical belt sorting

Pfaff

Pieper

Maier

et al. 2020

At - Automatisierungstechnik

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Optical belt sorters are a versatile means to sort bulk materials. In previous work, we presented a novel design of an optical belt sorter, which includes an area scan camera instead of a line scan camera. Line scan cameras, which are well-established in optical belt sorting, only allow for a single observation of each particle. Using multitarget tracking, the data of the area scan camera can be used to derive a part of the trajectory of each particle. The knowledge of the trajectories can be used to generate accurate predictions as to when and where each particle passes the separation mechanism. Accurate predictions are key to achieve high quality sorting results. The accuracy of the trajectories and the predictions heavily depends on the motion model used. In an evaluation based on a simulation that provides us with ground truth trajectories, we previously identified a bias in the temporal component of the prediction. In this paper, we analyze the simulation-based ground truth data of the motion of different bulk materials and derive models specifically tailored to the generation of accurate predictions for particles traveling on a conveyor belt. The derived models are evaluated using simulation data involving three different bulk materials. The evaluation shows that the constant velocity model and constant acceleration model can be outperformed by utilizing the similarities in the motion behavior of particles of the same type.

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Section: Experimental Platform and Simulation Methodologymentioning

confidence: 99%

Predictive tracking with improved motion models for optical belt sorting

Pfaff

Pieper

Maier

et al. 2020

At - Automatisierungstechnik

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show abstract

“…Various works also exist that study the pneumatic deflection process in sensor-based sorting by simulation. Computational fluid dynamics (CFD) is a popular tool for modeling air flow, as is the discrete element method (DEM) for modeling particles [152]. By using a DEM-CFD coupling, the complete sorting process can be simulated and the simulation results can be compared with those obtained from experiments [119].…”

Section: ) Pneumatic Separationmentioning

confidence: 99%

A Survey of the State of the Art in Sensor-Based Sorting Technology and Research

Maier,

Gruna,

Längle

et al. 2024

IEEE Access

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Sensor-based sorting describes a family of systems that enable the removal of individual objects from a material stream. The technology is widely used in various industries such as agriculture, food, mining, and recycling. Examples of sorting tasks include the removal of fungus-infested grains, the enrichment of copper content in copper mining or the sorting of plastic waste according to the type of plastic. Sorting decisions are made based on information acquired by one or more sensors. A particular strength of the technology is the flexibility in sorting decisions, which is achieved by using various sensors and programming the data analysis. However, a comprehensive understanding of the process is necessary for the development of new sorting systems that can address previously unresolved tasks. This survey is aimed at innovative researchers and practitioners who are unfamiliar with sensor-based sorting or have only encountered certain aspects of the overall process. The references provided serve as starting points for further exploration of specific topics.

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“…processing (Jasak, 2009;Monakov, 2012). One of the strengths of OpenFOAM is that new solvers and utilities can be created by its users with some pre-requisite knowledge of the underlying method, physics and programming techniques involved (Fitzpatrick, Glass, & Pascoe, 2015).…”

Section: Openfoammentioning

confidence: 99%

Towards safer mining: the role of modelling software to find missing persons after a mine collapse

Cawood¹,

Ashraf²

2018

Min. miner. depos.

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Purpose. The purpose of the study is to apply science and technology to determine the most likely location of a container in which three miners were trapped after the Lily mine disaster. Following the collapse of the Crown Pillar at Lily Mine in South Africa on the 5th of February 2016, there was a national outcry to find the three miners who were trapped in a surface container lamp room that disappeared in the sinkhole that formed during the surface col-lapse.Methods. At a visit to Lily Mine on the 9th of March, the Witwatersrand Mining Institute suggested a two-way strategy going forward to find the container in which the miners are trapped and buried. The first approach, which is the subject of this paper, is to test temporal 3D modeling software technology to locate the container, and second, to use scientific measurement and testing technologies. The overall methodology used was to first, request academia and research entities within the University to supply the WMI with ideas, which ideas list was compiled as responses came in. These were scrutinized and literature gathered for a conceptual study on which these ideas are likely to work. The software screening and preliminary testing of such software are discussed in this article.Findings. The findings are that software modeling is likely to locate the present position of the container, but accurate data and a combination of different advanced software packages will be required, but at tremendous cost.Originality. This paper presents original work on how software technology can be used to locate missing miners.Practical implications. The two approaches were not likely to recover the miners alive because of the considerable time interval, but will alert the rescue team and mine workers when they come in close proximity to them.

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CFD–DEM modelling of particle ejection by a sensor-based automated sorter

Cited by 18 publications

References 12 publications

Predictive tracking with improved motion models for optical belt sorting

Predictive tracking with improved motion models for optical belt sorting

A Survey of the State of the Art in Sensor-Based Sorting Technology and Research

Towards safer mining: the role of modelling software to find missing persons after a mine collapse

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