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Computational and Experimental Investigation of a Portable Pneumatic Extinguisher for Forest Fires


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DOI: https://doi.org/10.15866/ireme.v17i8.23929

Abstract


This article presents the results of a research study on the optimization and experimental investigation of the effects of impeller parameters on the velocity and pressure at the outlet of a Portable Pneumatic Extinguisher (PPE) using Computational Fluid Dynamic (CFD) simulation data. The independent variables consisted of the inner blade angle, outlet blade angle, and blade number, while the dependent variables were the velocity and pressure at the outlet center of the fan. Multi-objective optimization using Response Surface Methodology (RSM), with a confidence level of 95% for all intervals, revealed that the velocity obtained was 75.15 m/s, and the pressure was 2065.76 Pa under the conditions where the inner blade angle, outlet blade angle, and blade number are 64.04°, 120°, and 24, respectively. To validate the optimization results, the deviations observed in the CFD simulations did not exceed 1%, while the physical experimental model exhibited deviations within 5%. These results demonstrate the acceptable accuracy of the CFD analysis method combined with the RSM optimization method in the design and fabrication of the portable pneumatic extinguisher in this study.
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Keywords


Experimental Investigation; Portable Pneumatic Extinguisher; Response Surface Methodology; Forest Fires

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References


Le, T. H., H. C. Nguyen, N. H. Nguyen, Q. H. Bui, T. N. T. Nguyen, T. T. Nguyen, B. T. Nguyen, K. P. Do, V. D. Nguyen, and V. T. Phan. 2014. A Review of Forest Fire Information Technologies in Vietnam. In BESETOHA, 12 November 2014, 1-8. Hanoi, Vietnam.

Zhang, L., Jin, K., Sun, J. et al. A Review of Fire-Extinguishing Agents and Fire Suppression Strategies for Lithium-Ion Batteries Fire. Fire Technol (2022).
https://doi.org/10.1007/s10694-022-01278-3

Duong, V. T. 2010. Research technology and design and manufacture specialized equipment for forest fire fighting. In National scientific and technological topics (KC07), 06-10. Vietnam National University of Forestry.

Giang, Q. N., V. T. Pham, V. T. Tran, and H. Hoang. A study on the effects of propeller structural parameters on flow velocity and pressure of wind-powered forest firefighting machine. Journal of Forestry Science and Technology Vol. 7, n. pp.:91-100, 2022.

Zhang, Y., and H.-S. Dou. Effect of Blade Profile on the Performance of a Centrifugal Fan with Different Velocity Distribution Functions. International Journal of Fluid Machinery and Systems, Vol. 13, n. 3, pp.:623-634, 2020.
https://doi.org/10.5293/IJFMS.2020.13.3.623

Rojas, J., Espinel, E., Florez, E., Parametrical Study of Centrifugal Airfoil Fans by Computational Tools, (2020) International Review of Mechanical Engineering (IREME), 14 (12), pp. 750-759.
https://doi.org/10.15866/ireme.v14i12.19281

Junjie, Z., C. Jia, M. Fan, and Z. Yunhao. Numerical Investigation Analysis of Pressure Fluctuation Intensity of Axial Flow Pump within Stall Region, International Journal of Fluid Machinery and Systems, Vol. 16, n. 2, pp.:148-156, 2023.
https://doi.org/10.5293/IJFMS.2023.16.2.148

Espinel, E., Rojas, J., Florez Solano, E., Computational Fluid Dynamics Study of NACA 0012 Airfoil Performance with OpenFOAM®, (2021) International Review of Aerospace Engineering (IREASE), 14 (4), pp. 201-210.
https://doi.org/10.15866/irease.v14i4.19348

Fan, J., S. Lee, S. Kang, J. Cho, Y. Cho, and E. Yeom. Design of drain hole for household refrigerator fan module based on experiments and CFD simulation. Applied Thermal Engineering, Vol. 219, n. pp.:119567, 2023.
https://doi.org/10.1016/j.applthermaleng.2022.119567

Ferrari, C., N. Beccati, F. Pedrielli. CFD Methodology for an Underhood Analysis towards the Optimum Fan Position in a Compact Off-Road Machine. Energies, Vol. 16, n. 11, pp.4369, 2023.
https://doi.org/10.3390/en16114369

Kunjappan, J., Prakash, A., Computational Fluid Dynamics Study of Aircraft Wing with Winglet Performance at High Subsonic Speeds, (2022) International Review of Aerospace Engineering (IREASE), 15 (5), pp. 254-261.
https://doi.org/10.15866/irease.v15i5.22870

Galloni, E., P. Parisi, F. Marignetti, and G. Volpe. CFD analyses of a radial fan for electric motor cooling. Thermal Science and Engineering Progress, Vol. 8, n. pp.:470-476, 2018.
https://doi.org/10.1016/j.tsep.2018.10.003

Mustafa, A., L. Yiping, and F. Mingpeng. Design Optimization of Axial Flow Fan. International Journal of Advanced Engineering and Management, Vol. 3, n. 1, pp.:1-7, 2018.

Ali, Z., J. Tyacke, R. Watson, P. G. Tucker, and S. Shahpar. Efficient preprocessing of complex geometries for CFD simulations. International Journal of Computational Fluid Dynamics, Vol. 33, n. 3, pp.:98-114, 2019.
https://doi.org/10.1080/10618562.2019.1606421

Li, Z., Y. Jin, D. Huashu, and J. J. J. o. T. S. Yuzhen. Numerical and experimental investigation on aerodynamic performance of small axial flow fan with hollow blade root. Journal of Thermal Science, Vol. 22, n. 5, pp.:424-432, 2013.
https://doi.org/10.1007/s11630-013-0644-8

Panigrahi, D. C., and D. P. Mishra. CFD simulations for the selection of an appropriate blade profile for improving energy efficiency in axial flow mine ventilation fans. Journal of Sustainable Mining, Vol. 13, n. 1, pp.:15-21, 2014.
https://doi.org/10.7424/jsm140104

Gjeta, A. Design centrifugal fan volute with CFD numerical simulation using openfoam-matlab coupling. Industry 4.0, Vol. 4, n. 6, pp.:297-301, 2019.

Kim, J.-H., J.-W. Kim, and K.-Y. Kim. Axial-flow ventilation fan design through multi-objective optimization to enhance aerodynamic performance. Journal of fluids engineering, Vol. 133, n. 10, pp.:1-12, 2011.
https://doi.org/10.1115/1.4004906

Cho, C., S. Cho, K. Ahn, Y. Kim. Study of an axial-type fan design technique using an optimization method. Proc. of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, Vol. 223, n. 3, pp.:101-111, 2009.
https://doi.org/10.1243/09544089JPME254

Fan, H., J. Zhang, W. Zhang, and B. Liu. Multiparameter and multiobjective optimization design based on orthogonal method for mixed flow fan. Energies, Vol. 13, n. 11, pp.:2819, 2020.
https://doi.org/10.3390/en13112819

Lin, H.-H., J.-H. Cheng, and C.-H. Chen. Application of Gray Relational Analysis and Computational Fluid Dynamics to the Statistical Techniques of Product Designs. Symmetry, Vol. 12, n. 2, pp.:227, 2020.
https://doi.org/10.3390/sym12020227

Eid, A., Performance Improvement of Active Distribution Systems Using Adaptive and Exponential PSO Algorithms, (2021) International Review of Electrical Engineering (IREE), 16 (2), pp. 147-157.
https://doi.org/10.15866/iree.v16i2.19246

Pirino, P., Losito, M., Kumar, A., Gatto, G., Meo, S., Frank, W., Moradpour, M., Multi-Objective Gate Driver Design for a GaN-Based Half-Bridge Converter to Optimize Efficiency and Near-Field EMI, (2021) International Review of Electrical Engineering (IREE), 16 (2), pp. 95-103.
https://doi.org/10.15866/iree.v16i2.20477

Tran, C. C., V. T. Nguyen, and C. L. Tran. Prediction Model and Optimization of Machining Parameters Using Integrated ANN-GA Method on CNC Milling Machine. TNU Journal of Science and Technology, Vol. 226, n. 11, pp.:20-29, 2020.
https://doi.org/10.34238/tnu-jst.4533

Tran, C. C., V. T. Luu, V. T. Nguyen, V. T. Tran, V. t. Tran, and H. Dai Vu. Multi-objective Optimization of CNC Milling Parameters of 7075 Aluminium Alloy Using Response Surface Methodology. JJMIE, Vol. 17, n. 3, pp.:393-402, 2023.
https://doi.org/10.59038/jjmie/170308

Morris, M. D. A Class of Three-Level Experimental Designs for Response Surface Modeling. Technometrics, Vol. 42, n. 2, pp.:111-121, 2000.
https://doi.org/10.1080/00401706.2000.10485990

Ni, S., W. Cao, J. Xu, Y. Wang, and W. Zhang. Effects of an Inclined Blade on the Performance of a Sirocco Fan. Applied Sciences, Vol. 9, n. 15, pp.:3154, 2019.
https://doi.org/10.3390/app9153154

Jaber, A., Mohammed, K., Shalash, N., Optimization of Electrical Power Systems Using Hybrid PSO-GA Computational Algorithm: a Review, (2020) International Review of Electrical Engineering (IREE), 15 (6), pp. 502-511.
https://doi.org/10.15866/iree.v15i6.18599

Sulistyowati, R., Wibowo, R., Riawan, D., Ashari, M., Power and Voltage Estimation of Unobserved Bus on Distribution Network Using ANFIS Algorithm with the Modified PSO-GA Hybrid, (2020) International Review of Electrical Engineering (IREE), 15 (6), pp. 493-501.
https://doi.org/10.15866/iree.v15i6.18313


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