Dynamic Modelling and Experimental Validation of a Pneumatic Radial Piston Motor
Dynamic Modelling and Experimental Validation of a Pneumatic Radial Piston Motor
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DOI：
10.3390/en16041954
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发表时间：
2023-02
期刊：
影响因子：
3.2
通讯作者：
Kyle Grimaldi;A. Najjaran;Zhiwei Ma;Huashan Bao;T. Roskilly
中科院分区：
文献类型：
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作者：
Kyle Grimaldi;A. Najjaran;Zhiwei Ma;Huashan Bao;T. Roskilly
以气动径向柱塞马达为研究对象，建立了气动径向柱塞马达的动力学建模与仿真方法。利用几何参数计算了活塞缸的体积变化，并将传热方程、热力学能量平衡方程和运动方程相结合，建立了完整的活塞缸模型。在压缩空气的辅助下，进行了多次实验测试，并将转速随进口压力变化的结果输入到仿真中，以确定系统的总摩擦系数等关键未知参数之一。对于所研究的柱塞马达，该系数为0.0625 Nm。计算机模拟可以通过使用精确的模型来调整设计参数，以达到更高的转速。因此，更好的效率和性能提供了一些在实验室中运行实验测试时不可能实现的机会。数学模型计算得到的平均转速为50 RPM，活塞直径增加1.775 mm；通过将气缸的直径增加到25.8毫米，可以实现更快的转速。所进行的精确模拟可用于进一步的电机设计和优化，以及在更广泛的操作条件下的性能估计。应对多组实验测试结果进行仿真，以确定每个电机的正确foverall值。除了指导电机的设计和优化外，模拟还可以通过利用几何特性、流动条件和运动方程等有效参数来预测其在更广泛的工作条件下的性能。
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 foverall 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.