XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3 3945
the new system’s installation position, mounting design,
and detection metal rod were modified to withstand greater
impacts.
The next phase of testing is scheduled to commence in
2024. During this phase, by monitoring both the input and
output, a more accurate assessment of the system’s opera-
tion can be achieved. This dual monitoring would allow for
a better understanding of how variations in the feed and
crusher settings impact the final product, facilitating more
precise control and optimization of the crushing process.
The updated test results will be added in the coming
months and complete for the final manuscript.
REFERENCES
Cleary P W, Sinnott M D, Morrison R D, et al. Analysis
of cone crusher performance with changes in material
properties and operating conditions using DEM[J].
Minerals Engineering, 2017, 100: 49–70.
Evertsson C M. Cone crusher performance[M]. Chalmers
Tekniska Hogskola (Sweden), 2000.
Hulthén E, Evertsson C M. Real-time algorithm for
cone crusher control with two variables[J]. Minerals
Engineering, 2011, 24(9): 987–994.
Johansson M, Quist J, Evertsson M, et al. Cone crusher
performance evaluation using DEM simulations
and laboratory experiments for model validation[J].
Minerals Engineering, 2017, 103: 93–101.
Li H, Asbjörnsson G, Lindqvist M. Image process of
rock size distribution using dexined-based neural
network[J]. Minerals, 2021, 11(7): 736.
Throughout the test period, GeoScanner maintained
consistent technical and electronic availability. It demon-
strated the capability to measure real-time rock mass flow,
with data storage and visualization features. The sampling
results from the GeoScanner aligned well with manual lab
sieving, with measurement differences within an acceptable
10% margin. Its real-time signals accurately reflected the
trends of the cone crusher product. The real-time signals
from the detection system corresponded with the observed
trends of the cone crusher product.
In summary, the PSD detection system presents itself
as a tool for particle size analysis with potential for appli-
cation in various industrial settings. The results suggest a
balance of accuracy, operational stability, and adaptability,
relevant to the mineral processing industry.
PLANNED FUTURE WORK
The performance of the crushed product is heavily influ-
enced by the feed to the crusher. Without information of
the feed size, it becomes challenging to obtain a comprehen-
sive view of the crusher’s overall performance. As a result,
the data gathered from the GeoScanner on the crusher dis-
charge may not provide the complete context needed for
crusher optimization or troubleshooting.
Therefore, it’s deemed necessary to install an addi-
tional GeoScanner PSD real-time detection system at the
feed side of the crusher. After the initial testing and valida-
tion of the first system, FLS and Tipco installed a second
GeoScanner in November 2023 at the feed of the Raptor
250. Considering to the feed’s topsize reaching 150 mm,
Figure 12. Sample P9 taken at 12:13:54. CSS: 13.5 mm
the new system’s installation position, mounting design,
and detection metal rod were modified to withstand greater
impacts.
The next phase of testing is scheduled to commence in
2024. During this phase, by monitoring both the input and
output, a more accurate assessment of the system’s opera-
tion can be achieved. This dual monitoring would allow for
a better understanding of how variations in the feed and
crusher settings impact the final product, facilitating more
precise control and optimization of the crushing process.
The updated test results will be added in the coming
months and complete for the final manuscript.
REFERENCES
Cleary P W, Sinnott M D, Morrison R D, et al. Analysis
of cone crusher performance with changes in material
properties and operating conditions using DEM[J].
Minerals Engineering, 2017, 100: 49–70.
Evertsson C M. Cone crusher performance[M]. Chalmers
Tekniska Hogskola (Sweden), 2000.
Hulthén E, Evertsson C M. Real-time algorithm for
cone crusher control with two variables[J]. Minerals
Engineering, 2011, 24(9): 987–994.
Johansson M, Quist J, Evertsson M, et al. Cone crusher
performance evaluation using DEM simulations
and laboratory experiments for model validation[J].
Minerals Engineering, 2017, 103: 93–101.
Li H, Asbjörnsson G, Lindqvist M. Image process of
rock size distribution using dexined-based neural
network[J]. Minerals, 2021, 11(7): 736.
Throughout the test period, GeoScanner maintained
consistent technical and electronic availability. It demon-
strated the capability to measure real-time rock mass flow,
with data storage and visualization features. The sampling
results from the GeoScanner aligned well with manual lab
sieving, with measurement differences within an acceptable
10% margin. Its real-time signals accurately reflected the
trends of the cone crusher product. The real-time signals
from the detection system corresponded with the observed
trends of the cone crusher product.
In summary, the PSD detection system presents itself
as a tool for particle size analysis with potential for appli-
cation in various industrial settings. The results suggest a
balance of accuracy, operational stability, and adaptability,
relevant to the mineral processing industry.
PLANNED FUTURE WORK
The performance of the crushed product is heavily influ-
enced by the feed to the crusher. Without information of
the feed size, it becomes challenging to obtain a comprehen-
sive view of the crusher’s overall performance. As a result,
the data gathered from the GeoScanner on the crusher dis-
charge may not provide the complete context needed for
crusher optimization or troubleshooting.
Therefore, it’s deemed necessary to install an addi-
tional GeoScanner PSD real-time detection system at the
feed side of the crusher. After the initial testing and valida-
tion of the first system, FLS and Tipco installed a second
GeoScanner in November 2023 at the feed of the Raptor
250. Considering to the feed’s topsize reaching 150 mm,
Figure 12. Sample P9 taken at 12:13:54. CSS: 13.5 mm