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@PHDTHESIS{Radl:969604,
author = {Radl, Alexandra},
othercontributors = {Clausen, Elisabeth and Langefeld, Oliver},
title = {{E}ntwicklung eines {K}onzeptes zur sensorbasierten
{L}öserdetektion während des schlagenden {B}eraubens},
volume = {108},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {Verlag R. Zillekens},
reportid = {RWTH-2023-09226},
isbn = {978-3-941277-51-9},
series = {Aachener Schriften zur Rohstoff- und Entsorungstechnik des
Instituts für Maschinentechnik der Rohstoffindustrie},
pages = {1 Online-Ressource : Illustrationen, Diagramme},
year = {2023},
note = {Druckausgabe: 2023. - Auch veröffentlicht auf dem
Publikationsserver der RWTH Aachen University; Dissertation,
RWTH Aachen University, 2023},
abstract = {In order to meet the growing demand for raw materials due
to global demographic growth and increasing standards of
living, deeper deposits need to be exploited. This is
accompanied by rising rock pressures and the risk of an
increasing number of rock bursts. As a result, the scaling
process will become more important to remove loose rock in a
controlled manner to create a safe working environment. The
scaling process is either conducted manually or using
suitable machinery. In both cases, the process can be
divided into three tasks, the detection of loose rock, the
controlled removal and finally the evaluation that the loose
rock has been fully removed. To date, loose rock detection,
which is an important prerequisite for controlled removal,
is done subjectively, based on the experience of the person
responsible for it. If loose rock is only inadequately
detected, there is a risk for too little scaling. Especially
in the case of mechanical scaling, there is also a risk of
scaling too much if loose rock is not detected correctly.
Therefore, a novel concept for the sensor-based detection of
loose rock during the mechanical scaling process using
hydraulic impact hammers, was developed in this work. The
concept is based on the acoustic emission technology and the
infrared thermography, which are used for loose rock
detection and furthermore includes the analysis of the
sensor data as well as the integration of the concept into
the scaling process. The detection of loose rock using
infrared thermography is based on the fact that the heat
flow in the rock mass is reduced or interrupted when there
is loose rock. This results in different temperatures and
thus different emissions of the loose and solid zones.
However, it has to be noted that no differences are apparent
when a thermal equilibrium exists. In this case, approaches
to disturb the thermal equilibrium have to be considered.
The application of the acoustic emission technology is based
on an indirect detection. For this purpose, the acoustic
emission sensor was installed on the scaling machine and the
signal, that was generated during the scaling process was
analysed to draw conclusions about the condition of the rock
mass. The proof of concept was demonstrated in an
underground mine. Based on this, a critical evaluation was
carried out using criteria defined initially. The concept
has the potential to be further developed into an
application in the context of an assistance system in the
future and thus to contribute to increasing safety in
underground mines. With a future automation of the scaling
process, the concept can also contribute to loose rock
detection.},
cin = {513310 / 510000},
ddc = {620},
cid = {$I:(DE-82)513310_20180515$ / $I:(DE-82)510000_20140620$},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
doi = {10.18154/RWTH-2023-09226},
url = {https://publications.rwth-aachen.de/record/969604},
}
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