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Dynamic Modelling and Experimental Validation of a Pneumatic Radial Piston Motor

Author

Listed:
  • Kyle Grimaldi

    (Department of Engineering, Durham University, Durham DH1 3LE, UK)

  • Ahmad Najjaran

    (Department of Engineering, Durham University, Durham DH1 3LE, UK)

  • Zhiwei Ma

    (Department of Engineering, Durham University, Durham DH1 3LE, UK)

  • Huashan Bao

    (Department of Engineering, Durham University, Durham DH1 3LE, UK)

  • Tony Roskilly

    (Department of Engineering, Durham University, Durham DH1 3LE, UK)

Abstract

A pneumatic radial piston motor is studied in this paper in order to establish a dynamic modelling and simulation method. As a result of using geometric parameters, the piston cylinder volume change was calculated, and the heat transfer equation, thermodynamic energy balance equation, and motion equation were combined in order to create a complete model of the piston cylinder. With the aid of compressed air, several experimental tests were conducted, and the results of rotational speed with varying inlet pressure were fed into the simulation to determine one of the critical unknown parameters, such as the overall friction coefficient of the system. For the studied piston motor, this coefficient was 0.0625 Nm. Computer simulations can be used to adjust design parameters in order to reach a higher rotation speed by using an accurate model. As a result, better efficiency and performance present several opportunities that would not be possible when running experimental tests in a lab. The mathematical model yielded higher rotational speeds of 50 RPM on average, with an increased piston diameter of 1.775 mm; by increasing the diameter of the cylinder to 25.8 mm, it was possible to achieve faster rotational speeds. The performed precise simulation could be used for further motor design and optimisation, and performance estimates under a broader range of operational conditions. Simulations should be conducted on multiple sets of experimental test results to determine the correct f overall value for each motor. In addition to guiding the design and optimisation of the motor, simulations could also predict its performance under a broader range of operating conditions by utilising effective parameters such as geometrical characteristics, flow conditions, and motion equations.

Suggested Citation

  • Kyle Grimaldi & Ahmad Najjaran & Zhiwei Ma & Huashan Bao & Tony Roskilly, 2023. "Dynamic Modelling and Experimental Validation of a Pneumatic Radial Piston Motor," Energies, MDPI, vol. 16(4), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1954-:d:1070188
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    References listed on IDEAS

    as
    1. Ahmad Najjaran & Saleh Meibodi & Zhiwei Ma & Huashan Bao & Tony Roskilly, 2023. "Experimentally Validated Modelling of an Oscillating Diaphragm Compressor for Chemisorption Energy Technology Applications," Energies, MDPI, vol. 16(1), pages 1-17, January.
    2. Peng Song & Jinju Sun & Shengyuan Wang & Xuesong Wang, 2022. "Multipoint Design Optimization of a Radial-Outflow Turbine for Kalina Cycle System Considering Flexible Operating Conditions and Variable Ammonia-Water Mass Fraction," Energies, MDPI, vol. 15(22), pages 1-19, November.
    3. Bianchi, M. & Branchini, L. & De Pascale, A. & Melino, F. & Ottaviano, S. & Peretto, A. & Torricelli, N., 2019. "Application and comparison of semi-empirical models for performance prediction of a kW-size reciprocating piston expander," Applied Energy, Elsevier, vol. 249(C), pages 143-156.
    4. Manuel Naveiro & Manuel Romero Gómez & Ignacio Arias-Fernández & Álvaro Baaliña Insua, 2022. "Thermodynamic and Economic Analyses of Zero-Emission Open Loop Offshore Regasification Systems Integrating ORC with Zeotropic Mixtures and LNG Open Power Cycle," Energies, MDPI, vol. 15(22), pages 1-24, November.
    5. Zhang, Xinjing & Xu, Yujie & Zhou, Xuezhi & Zhang, Yi & Li, Wen & Zuo, Zhitao & Guo, Huan & Huang, Ye & Chen, Haisheng, 2018. "A near-isothermal expander for isothermal compressed air energy storage system," Applied Energy, Elsevier, vol. 225(C), pages 955-964.
    6. Ma, Zhiwei & Bao, Huashan & Roskilly, Anthony Paul, 2017. "Dynamic modelling and experimental validation of scroll expander for small scale power generation system," Applied Energy, Elsevier, vol. 186(P3), pages 262-281.
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