System Simulation Of Stirling And Characteristics Research Of Regenerator

Stirling engine caused many scholars’ research interest because of its advantages ofwide fuel source, high thermal efficiency, low pollution and low noise. Regenerator as themost critical parts of the Stirling machine, its efficiency has a very important impact onthe machine’s performance. Many of the existing literatures do a lot of fruitful research onresistance and heat transfer characteristics of regenerator under steady state flow condition.In fact, regenerator is working under oscillation flow conditions and its characteristics offlow and heat transfer have a relatively large difference compared to the steady state flowconditions, the higher the frequency, the greater the difference.Therefore, the study on thecharacteristics of the regenerator under oscillatory flow conditions has importantsignificance.This paper studies the recognition method of regenerator resistance characteristicsbased on CFD. The law of motion of the piston and the dynamic pressure at the end ofregenerator were obtained by experimental measurements which were the inputparameters of the CFD model. The velocity at the end of regenerator was obtained basedon CFD simulation so that the soft measurement of the flow rate was achieved. At thesame time the dynamic pressures at the end of regenerator under different linear motorinput current and phase angle condition were obtained by self-built performance testexperimental platform of the regenerator. A after-treatment was carried out to obtain thecycle-maximum flow friction factor and the cycle-average flow friction factor of theregenerator. The experimental results shows that there is a phase shift between the twopressures at the ends of regenerator which was affected by the velocity phase.At the same time，the CFD numerical simulation of the Stirling engine and theStirling cryocooler was carried out from which we get the variation oftemperature,velocity and density in the system. The understanding of Stirling oscillatoryflow patterns evolution was deepened. The interaction between the CFD and REGENwas further explored from which the reliance on priori knowledge was reduced thereliance on a priori knowledge and more accurate performance parameters of regenerator(such as heat loss, efficiency and so on) can be obtained.