Rapid Thermal Energy Modeling and Analysis of Complex Industrial Hydraulic Systems
DOI:
https://doi.org/10.13052/ijfp1439-9776.2614Keywords:
Industrial hydraulic system, thermal energy model, Reduction of modeling time, ThermodynamicsAbstract
Modeling and analyzing the thermal energy behavior of industrial hydraulic systems with useful hydraulic power of 20 kW or higher is a challenging task due to the system’s inherent complexity and the multitude of interacting components. Conventional thermal modeling approaches rely heavily on numerous interdependent parameters and sensor measurements, including temperature, pressure, and flow rate for each port in hydraulic component. This reliance often leads to prolonged modeling times, which can exceed the actual operational time of the hydraulic system by a factor of 2 to 6.5, resulting in costly and time-intensive analysis. To address these limitations and meet industrial demands, this study introduces an enhanced thermal model based on a new temperature parameter, termed the average transient temperature (Tavg), aimed at significantly reducing the modeling time to be shorter than the experimental operation time. Furthermore, Physics informed neural network model is used to determine hydraulic oil specifications during the modeling implementation as one correlation model.
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References
R. M. Harris, ‘The modelling and simulation of temperature effects in hydraulic systems’, PhD Thesis, University of Bath, 1990.
J. A. Sidders, D. G. Tilley, and P. J. Chappie, ‘Thermal-Hydraulic Performance Prediction in Fluid Power Systems’, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 210, no. 4, pp. 231–242, Nov. 1996, doi: 10.1243/PIME_PROC_1996_210_462_02.
X. Zhang, J. Li, and Y. B. Yin, ‘Thermal Analysis and Simulation of Aircraft Hydraulic System’, Advanced Materials Research, vol. 204, pp. 1984–1989, 2011, doi: https://doi.org/10.4028/www.scientific.net/AMR.204-210.1984.
E. Busquets and M. Ivantysynova, ‘Temperature Prediction of Displacement Controlled Multi-Actuator Machines’, International Journal of Fluid Power, vol. 14, no. 1, pp. 25–36, Jan. 2013, doi: 10.1080/14399776.2013.10781066.
L. Chenggong and J. Zongxia, ‘Calculation Method for Thermal-Hydraulic System Simulation’, Journal of Heat Transfer, vol. 130, no. 8, p. 084503, Aug. 2008, doi: 10.1115/1.2928006.
K. Li, Z. Lv, K. Lu, and P. Yu, ‘Thermal-hydraulic Modeling and Simulation of the Hydraulic System based on the Electro-hydrostatic Actuator’, Procedia Engineering, vol. 80, pp. 272–281, 2014, doi: 10.1016/j.proeng.2014.09.086.
S. Michel, ‘Elektrisch-hydrostatische Kompaktantriebe mit Differentialzylinder für die industrielle Anwendung’, PhD Thesis, 2021. [Online]. Available: https://doi.org/10.25368/2021.86.
S. Ketelsen, S. Michel, T. O. Andersen, M. K. Ebbesen, J. Weber, and L. Schmidt, ‘Thermo-Hydraulic Modelling and Experimental Validation of an Electro-Hydraulic Compact Drive’, Energies, vol. 14, no. 9, p. 2375, Apr. 2021, doi: 10.3390/en14092375.
H. Kwon, M. Sprengel, and M. Ivantysynova, ‘Thermal modeling of a hydraulic hybrid vehicle transmission based on thermodynamic analysis’, Energy, vol. 116, pp. 650–660, Dec. 2016, doi: 10.1016/j.energy.2016.10.001.
Mohd. A. H. Siddiqui et al., ‘Real-Time Comprehensive Energy Analysis of the LHD 811MK-V Machine with Mathematical Model Validation and Empirical Study of Overheating: An Experimental Approach’, Arab J Sci Eng, vol. 47, no. 7, pp. 9043–9059, Jul. 2022, doi: 10.1007/s13369-021-06439-0.
A. Al-Issa, T. Schulze, and J. Weber, ‘An Improved Thermal Modelling Approach for Industrial Hydraulic System Applications, Prioritizing Computational Time Reduction and Thermal Condition Analysis’, in BATH/ASME 2024 Symposium on Fluid Power and Motion Control, Bath, United Kingdom: American Society of Mechanical Engineers, Sep. 2024, p. V001T01A011. doi: 10.1115/FPMC2024-140068.
Y. A. Çengel, Heat Transfer: A Practical Approach. McGraw-Hill, 2002.
G. E. Totten and V. J. D. Negri, Handbook of Hydraulic Fluid Technology. CRC Press, 2011.
W. Bock, ‘Hydraulic Oils’, in Lubricants and Lubrication, John Wiley & Sons, Ltd, 2017, pp. 345–420. doi: 10.1002/9783527645565.ch11.
J. Zhang, N. Qi, and J. Jiang, ‘Effect of Oil Viscosity on Hydraulic Cavitation Luminescence’, Fluid Dyn, vol. 56, no. 3, pp. 371–382, May 2021, doi: 10.1134/S0015462821030125.
P. Hodges, Hydraulic Fluids. Butterworth-Heinemann, 1996.
S. Bair and P. Michael, ‘Modelling the Pressure and Temperature Dependence of Viscosity and Volume for Hydraulic Fluids’, International Journal of Fluid Power, vol. 11, no. 2, pp. 37–42, Jan. 2010, doi: 10.1080/14399776.2010.10781005.
A. Al-Issa and J. Weber, ‘Predicting Hydraulic Oil Thermophysical Properties Using Physics-Informed Neural Networks’, International Journal of Fluid Power, pp. 59–88, Jul. 2024, doi: 10.13052/ijfp1439-9776.2513.
W. Bock, ‘Turbine Oils’, in Lubricants and Lubrication, John Wiley & Sons, Ltd, 2017, pp. 453–490. doi: 10.1002/9783527645565.ch13.
‘Axial Piston Variable Pump’, Bosch Rexroth Hungary. Accessed: Oct. 04, 2024. [Online]. Available: https://www.boschrexroth.com/en/hu/media-details/861b3c0a-3169-49e2-9688-e71d02e2f4e5.
F. Zhai, X. Wang, Z. He, Y. Chen, Z. Ye, and J. Yao, ‘Analysis of Natural Heat Dissipation Capacity of Hydraulic Tank and Relevant Influencing Factors’, Machines, vol. 10, no. 11, p. 991, Oct. 2022, doi: 10.3390/machines10110991.
J. S. Cundiff, Fluid Power Circuits and Controls: Fundamentals and Applications, 0 ed. CRC Press, 2001. doi: 10.1201/9781420041330.
M. Inc, ‘Pilot Operated Servo Valves |D661 Series’. Accessed: Aug. 26, 2024. [Online]. Available: https://www.moog.com/products/servovalves-servo-proportional-valves/industrial/servo-and-proportional-valves-with-electronics/pilot-operated-servovalves-for-analog-signals-d661-series.html
‘Emissivity - Metals |Fluke Process Instruments’. Accessed: Sep. 24, 2024. [Online]. Available: https://www.flukeprocessinstruments.com/en-us/service-and-support/knowledge-center/infrared-technology/emissivity-metals.

