Dynamic Modelling and Experimental Validation of a Pneumatic Radial Piston Motor

Kyle Grimaldi, Ahmad Najjaran, Zhiwei Ma (), Huashan Bao and Tony Roskilly
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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

Energies, 2023, vol. 16, issue 4, 1-18

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.

Keywords: pneumatic radial piston motor; modelling; experimental validation; overall friction coefficient; optimisation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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