Academic Journal

The Influence of Internal Geometry on Pressure Losses, Hydraulic Stability, and Cavitation Risk in a Firefighting Monitor.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: The Influence of Internal Geometry on Pressure Losses, Hydraulic Stability, and Cavitation Risk in a Firefighting Monitor.
Συγγραφείς: Zielina, Michał, Kopiczak, Bartosz, Cebula, Artur, Yildirim, Mehmet
Πηγή: Applied Sciences (2076-3417); Sep2026, Vol. 16 Issue 17, p8734, 22p
Θεματικοί όροι: Pressure drop (Fluid dynamics), Flow stability (Fluid dynamics), Firefighting equipment, Fluid flow, Computational fluid dynamics, Cones, Cavitation erosion, Geometry
Περίληψη: This paper presents a combined CFD and experimental investigation of water flow through a Shootfire-1000 water-foam fire monitor. The study aimed to assess pressure losses, flow characteristics, hydraulic stability, and cavitation risk, and to evaluate the influence of selected geometric and operating parameters on hydraulic performance. A numerical model based on the actual geometry of the device was developed and experimentally validated using pressure loss measurements obtained under representative operating conditions. The influence of flow rate, monitor elevation angle, water temperature, nozzle cone position, and cone plate fillet radius was analyzed. The results showed that the dominant pressure losses occur within the monitor head, particularly in the annular constriction formed by the nozzle cone and the housing. Water temperature and monitor elevation angle had only a minor effect on the overall hydraulic performance, whereas relatively small modifications of the nozzle cone geometry significantly affected pressure losses. The analyses further demonstrated that local geometric features play a key role in determining velocity distribution and hydraulic stability. No pressure values below the water vapour pressure were observed within the investigated operating range, indicating a negligible risk of cavitation. The results confirm that optimization of the monitor head geometry can effectively reduce hydraulic losses and improve the hydraulic performance of water-foam fire monitors. [ABSTRACT FROM AUTHOR]
Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Label: Title
  Group: Ti
  Data: The Influence of Internal Geometry on Pressure Losses, Hydraulic Stability, and Cavitation Risk in a Firefighting Monitor.
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  Data: <searchLink fieldCode="AR" term="%22Zielina%2C+Michał%22">Zielina, Michał</searchLink><br /><searchLink fieldCode="AR" term="%22Kopiczak%2C+Bartosz%22">Kopiczak, Bartosz</searchLink><br /><searchLink fieldCode="AR" term="%22Cebula%2C+Artur%22">Cebula, Artur</searchLink><br /><searchLink fieldCode="AR" term="%22Yildirim%2C+Mehmet%22">Yildirim, Mehmet</searchLink>
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  Data: Applied Sciences (2076-3417); Sep2026, Vol. 16 Issue 17, p8734, 22p
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Pressure+drop+%28Fluid+dynamics%29%22">Pressure drop (Fluid dynamics)</searchLink><br /><searchLink fieldCode="DE" term="%22Flow+stability+%28Fluid+dynamics%29%22">Flow stability (Fluid dynamics)</searchLink><br /><searchLink fieldCode="DE" term="%22Firefighting+equipment%22">Firefighting equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+flow%22">Fluid flow</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Cones%22">Cones</searchLink><br /><searchLink fieldCode="DE" term="%22Cavitation+erosion%22">Cavitation erosion</searchLink><br /><searchLink fieldCode="DE" term="%22Geometry%22">Geometry</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper presents a combined CFD and experimental investigation of water flow through a Shootfire-1000 water-foam fire monitor. The study aimed to assess pressure losses, flow characteristics, hydraulic stability, and cavitation risk, and to evaluate the influence of selected geometric and operating parameters on hydraulic performance. A numerical model based on the actual geometry of the device was developed and experimentally validated using pressure loss measurements obtained under representative operating conditions. The influence of flow rate, monitor elevation angle, water temperature, nozzle cone position, and cone plate fillet radius was analyzed. The results showed that the dominant pressure losses occur within the monitor head, particularly in the annular constriction formed by the nozzle cone and the housing. Water temperature and monitor elevation angle had only a minor effect on the overall hydraulic performance, whereas relatively small modifications of the nozzle cone geometry significantly affected pressure losses. The analyses further demonstrated that local geometric features play a key role in determining velocity distribution and hydraulic stability. No pressure values below the water vapour pressure were observed within the investigated operating range, indicating a negligible risk of cavitation. The results confirm that optimization of the monitor head geometry can effectively reduce hydraulic losses and improve the hydraulic performance of water-foam fire monitors. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/app16178734
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 8734
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        Type: general
      – SubjectFull: Flow stability (Fluid dynamics)
        Type: general
      – SubjectFull: Firefighting equipment
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      – SubjectFull: Fluid flow
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      – SubjectFull: Computational fluid dynamics
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      – SubjectFull: Cones
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      – SubjectFull: Cavitation erosion
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      – SubjectFull: Geometry
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            – D: 01
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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