Optimal Design Parameters of Thermal Flowmeter for Fuel Flow Measurement
Abstract
:1. Introduction
2. Materials and Methods
3. Results and Discussion
4. Conclusions
- To reduce the error of fuel flow measurement due to reducing the influence of the radial heat flux in the thermal flowmeter on the axial heat flux (without taking into account the thermal conductivity of fuel and the material of the flowmeter tube), it is necessary to reduce the diameter of the heater and increase the diameter of the thermal flowmeter tube.
- The dependences of the ratio of the tube diameter to the diameter of the heater of the thermal flowmeter for the tube materials of different thermal conductivity are obtained, allowing to reduce the influence of the radial heat flux on the axial, which will eventually reduce the error of measuring the fuel flow.
- It was found experimentally that the diameter of the heating element in the tube of the thermal flowmeter affects the error of fuel flow measurement, and its reduction allows to reduce this error. It was experimentally established that reducing the diameter of the wire heating element from 12 mm to the minimum possible diameter (to the diameter of the wire when it is installed axially along the axis of the tube of the heat flow meter) allows to reduce the relative error of fuel consumption by 1.6 times, with other unchanged design parameters of the tube.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Wu, W.; Guan, H.; Lijin, B.; Wang, R.; Zhu, Z. Research on a novel dual-mode thermal microflow sensor. Yi Qi Yi Biao Xue Bao/Chin. J. Sci. Instrum. 2021, 42, 73–80. [Google Scholar] [CrossRef]
- Korobiichuk, I.; Kachniarz, M.; Bezvesilna, O.; Nowicki, M.; Ilchenko, A.; Szewczyk, R. Calorimetrie flow meter of motor fuel With Inlet temperature regulation. In Proceedings of the 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT), Barcelona, Spain, 5–7 April 2017; pp. 0975–0979. [Google Scholar] [CrossRef]
- Molina, A.J.; Biscarri, F.; Leal, M.; Merino, M. Insertion calorimetric flowmeter for liquids with multiple temperature sensors to improve measurement by redundancy. Flow Meas. Instrum. 2015, 46, 58–65. [Google Scholar] [CrossRef]
- Djuzhev, N.A.; Novikov, D.V.; Demin, G.D.; Ovodov, A.I.; Ryabov, V.T. An experimental study on MEMS-based gas flow sensor for wide range flow measurements. In Proceedings of the 2018 IEEE Sensors Applications Symposium (SAS), Seoul, Korea, 12–14 March 2018; pp. 1–4. [Google Scholar] [CrossRef]
- Pečar, B.; Vrtačnik, D.; Pavlin, M.; Možek, M. A Rapid Prototyped Thermal Mass Flowmeter. Sensors 2021, 21, 5373. [Google Scholar] [CrossRef] [PubMed]
- Yang, Z.; Zhai, Y.; Deng, B.; Yin, H.; Lu, Z.; Xiang, Y.; Shi, J.; Zeng, Z.; Wu, Y. Optimized design of the restrictor for a MEMS thermal gas flowmeter. Meas. Sci. Technol. 2022, 33, 105901. [Google Scholar] [CrossRef]
- Kermani, V.; Hashemabadi, S.H. Numerical analysis and RSM modeling of microthermal flowmeter performance. Int. J. Therm. Sci. 2022, 179. [Google Scholar] [CrossRef]
- Koizumi, H. A micro flowmeter based on the measurement of a diffusion temperature rise of a locally heated thermal flow in a Hagen–Poiseuille flow. Flow Meas. Instrum. 2013, 34, 19–26. [Google Scholar] [CrossRef]
- Fraden, J. Handbook of Modern Sensors: Physics, Designs, and Applications; Springer: Cham, Switzerland, 2016; pp. 1–758. [Google Scholar]
- Massoud, M. Engineering Thermofluids: Thermodynamics, Fluid Mechanics, and Heat Transfer; Springer: Berlin/Heidelberg, Germany, 2005; pp. 1–1119. [Google Scholar] [CrossRef]
- Tian, Y.; Liu, J.; Han, F.; Lu, D. Improved hydrogen consumption detection method with flow meter of fuel cell vehicle. Flow Meas. Instrum. 2022, 86, 102186. [Google Scholar] [CrossRef]
- King, L.V., XII. On the convection of heat from small cylinders in a stream of fluid: Determination of the convection constants of small platinum wires with applications to hot-wire anemometry. Philos. Trans. R. Soc. Lond. Ser. A 1914, 214, 373–432. [Google Scholar] [CrossRef] [Green Version]
- Chaboki, H.H.; Shahrouzi, J.R.; Hassanpour, A. Experimental and simulation studies of the effect of restrictor and distributor on the performance of thermal mass flow meter. Measurement 2018, 119, 259–264. [Google Scholar] [CrossRef]
- Skrúcaný, T.; Stopková, M.; Stopka, O.; Kalašová, A.; Ovčiarik, P. User’s determination of a proper method for quantifying fuel consumption of a passenger car with compression ignition engine in specific operation conditions. Open Eng. 2020, 11, 151–160. [Google Scholar] [CrossRef]
- Cha, J.; Park, J.; Lee, H.; Chon, M.S. A Study of Prediction Based on Regression Analysis for Real-World Co2 Emissions with Light-Duty Diesel Vehicles. Int. J. Automot. Technol. 2021, 22, 569–577. [Google Scholar] [CrossRef]
- Ren, R.; Wang, H.; Sun, X.; Quan, H. Design and Implementation of an Ultrasonic Flowmeter Based on the Cross-Correlation Method. Sensors 2022, 22, 7470. [Google Scholar] [CrossRef] [PubMed]
- Hu, Y.-C.; Chen, Z.-Y.; Chang, P.-Z. Fluid–Structure Coupling Effects in a Dual U-Tube Coriolis Mass Flow Meter. Sensors 2021, 21, 982. [Google Scholar] [CrossRef] [PubMed]
- Sutardi; Aditya, L.Z.R. Numerical Studies of Square Edge and Quadrant Edge Orifice Flow Meter Performance with Different Diameter Ratios and Reynolds Numbers. In Recent Advances in Mechanical Engineering; Lecture Notes in Mechanical Engineering; Springer: Singapore, 2022; pp. 254–264. [Google Scholar] [CrossRef]
- de Oliveira, M.C.; Simões, E.F. Determination of the Discharge Coefficient of Multiphase Meters Through Computational Simulation. In Multiphase Flow Dynamics; Lecture Notes in Mechanical Engineering; Springer: Cham, Switzerland, 2022; pp. 53–60. [Google Scholar] [CrossRef]
- Korobiichuk, I.; Mel’Nick, V.; Shybetskyi, V.; Kostyk, S.; Kalinina, M. Optimization of Heat Exchange Plate Geometry by Modeling Physical Processes Using CAD. Energies 2022, 15, 1430. [Google Scholar] [CrossRef]
- Hafeez, M.B.; Krawczuk, M.; Shahzad, H.; Pasha, A.A.; Adil, M. Simulation of hybridized nanofluids flowing and heat transfer enhancement via 3-D vertical heated plate using finite element technique. Sci. Rep. 2022, 12, 11658. [Google Scholar] [CrossRef] [PubMed]
- Yu, X.-L.; Xu, K.-J. Calculation and judgment of repeatability error affected by non-linearity correction based on flowmeter characteristic analysis. Measurement 2022, 196, 111251. [Google Scholar] [CrossRef]
- Korobiichuk, I.; Bezvesilna, O.; Ilchenko, A.; Trostenyuk, Y. Thermoanemometric Flowmeter of Biofuels for Motor Transport. Adv. Intell. Syst. Comput. 2017, 519, 443–448. [Google Scholar] [CrossRef]
- Korobiichuk, I.; Bezvesilna, O.; Ilchenko, A.; Shadura, V.; Nowicki, M.; Szewczyk, R. A Mathematical Model of the Thermo-Anemometric Flowmeter. Sensors 2015, 15, 22899–22913. [Google Scholar] [CrossRef] [PubMed]
- ISO14511; Measurement of Fluid Flow in Closed Conduits—Thermal Mass Flowmeters. ISO: Vernier, Switzerland, 2019.
No. | Material/Substance | Thermal Conductivity, W/(m∙K) |
---|---|---|
Fuel | ||
1 | Gasoline | 0.106 |
2 | Diesel fuel | 0.108 |
3 | Kerosene | 0.109 |
4 | Crude oil | 0.114 |
Metal | ||
1 | Monel: Cu 12% + Fe 25% + others 63% | 14.9 |
2 | Brass | 110 |
3 | Duralumin | 160 |
4 | 95% Al + 3–5% Cu + 0.5% Mg | 181 |
Others | ||
1 | Fiberglass | 0.036 |
2 | Lightweight/heavyweight foam glass | 0.06/0.08 |
3 | Mipor | 0.085 |
4 | Rubber | 0.15 |
5 | Ebonite | 0.16 |
6 | Fluoroplastic F-5 | 0.25 |
7 | Glass fiber board | 0.3 |
Flowmeter Tube Material | Thermal Conductivity, W/(m∙K) | d2/d1 |
---|---|---|
Ebonite | 0.16 | 1.507 |
Fluoroplastic F-5 | 0.25 | 1.62 |
Hypothetical materials (with acceptable thermal conductivity) | 2 | 1.92 |
6 | 1.97 | |
10 | 1.98 | |
12 | 1.984 | |
Monel | 14.9 | 1.99 |
Hypothetical materials (with acceptable thermal conductivity) | 50 | 1.99 |
100 | 1.99 | |
95% Аl + 3–5% Cu + 0.5% Mg | 181 | 1.99 |
Hypothetical materials (with acceptable thermal conductivity) | 250 | 1.99 |
300 | 1.99 |
Thermal Conductivity Coefficient, W/(m∙K) | Dependencies (Value) | Reliability of Approximation, R2 |
---|---|---|
0.16 … 6 | d2/d1 = 0.1182 ln(λ2) + 1.7959 | 0.9 |
6 … 12 | d2/d1 = 0.0028 λ2 + 1.954 | 0.95 |
>12 | d2/d1 = 1.99 | - |
The Number of the Experiment | Fuel Consumption, Which Was Measured by the Volumetric Method, l/100 km (Option 1) | Fuel Consumption, Which Was Measured with the Heating Element Located along the Axis of the Flow Meter Tube, l/100 km (Option 2) | Fuel Consumption, Which Was Measured with a Heating Element Located along the Axis of the Tube in the Form of a Spiral, l/100 km (Option 3) | Relative Error between Options 1 and 2, % | Relative Error between Options 1 and 3, % |
---|---|---|---|---|---|
1 | 6.12 | 6.363 | 6.531 | 3.84 | 6.29 |
2 | 6.111 | 6.37 | 6.512 | 4.07 | 6.16 |
3 | 6.123 | 6.343 | 6.466 | 3.47 | 5.3 |
4 | 6.142 | 6.331 | 6.467 | 2.99 | 5.03 |
5 | 6.117 | 6.354 | 6.468 | 3.73 | 5.43 |
6 | 6.129 | 6.355 | 6.477 | 3.56 | 5.37 |
7 | 6.151 | 6.274 | 6.499 | 1.96 | 5.35 |
8 | 6.139 | 6.367 | 6.486 | 3.58 | 5.35 |
9 | 6.121 | 6.372 | 6.469 | 3.94 | 5.38 |
10 | 6.145 | 6.376 | 6.564 | 3.62 | 6.38 |
Average value | 6.13 | 6.35 | 6.49 | 3.47 | 5.6 |
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Korobiichuk, I.; Ilchenko, A. Optimal Design Parameters of Thermal Flowmeter for Fuel Flow Measurement. Sensors 2022, 22, 8882. https://doi.org/10.3390/s22228882
Korobiichuk I, Ilchenko A. Optimal Design Parameters of Thermal Flowmeter for Fuel Flow Measurement. Sensors. 2022; 22(22):8882. https://doi.org/10.3390/s22228882
Chicago/Turabian StyleKorobiichuk, Igor, and Andrii Ilchenko. 2022. "Optimal Design Parameters of Thermal Flowmeter for Fuel Flow Measurement" Sensors 22, no. 22: 8882. https://doi.org/10.3390/s22228882
APA StyleKorobiichuk, I., & Ilchenko, A. (2022). Optimal Design Parameters of Thermal Flowmeter for Fuel Flow Measurement. Sensors, 22(22), 8882. https://doi.org/10.3390/s22228882