Influence of minor geometric features on Stirling pulse tube cryocooler performance

Tong, Fang; Spoor, P. S.; Ghiaasiaan, S. Mostafa; Perrella, M.

doi:10.1088/1757-899x/278/1/012140

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…The latter are the focus of this paper. They mainly include imperfections due to manufacturing processes in nominally identical source equipment that can lead to different behaviour of the structure in terms of generated vibration response, [16,17]. This article focuses on the microvibrations generated by reaction wheels and particularly the variation in microvibration between wheels which should be the same.…”

Section: Introductionmentioning

confidence: 99%

A semiempirical methodology to characterise a family of microvibration sources

Lellis

Stabile

Aglietti

et al. 2019

Journal of Sound and Vibration

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Section: Introductionmentioning

confidence: 99%

A semiempirical methodology to characterise a family of microvibration sources

Lellis

Stabile

Aglietti

et al. 2019

Journal of Sound and Vibration

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“…John et al proposed an approximate design method for the design of a single‐stage IPTR using design parameters such as refrigeration capacity, refrigeration temperature, frequency, mean pressure, and pressure ratio using the NIST code REGEN 3.3 (for regenerator), PHASOR, and INERTANCE (a MATHCAD code developed by Radebaugh to design the inertance tube). Many users also used the 1D commercial code SAGE developed by Gedeon associates for the design and optimization of the pulse tube refrigerator . No doubt these codes are capable enough for designing pulse tube refrigerators to achieve the targeted output, but modern technology requires high cooling capacity cryocoolers at a fixed refrigeration temperature for further performance improvement of machines used for space and defense applications.…”

Section: Introductionmentioning

confidence: 99%

Optimization of an inertance pulse tube refrigerator using the particle swarm optimization algorithm

Panda

Rout

2019

Heat Trans. Asian Res.

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In this study, a particle swarm optimization method is employed to find the optimal operating parameters and geometrical parameters, which maximize the coefficient of performance (COP) of an inertance pulse tube refrigerator (IPTR). The considered decision variables of the IPTR are the charging pressure, which varies from 15 to 25 bar, operating frequency varying from 20 to 60 Hz, geometrical parameters, such as diameter varying from 15.0 to 25.00 mm, and length varying from 40.0 to 70 mm of the regenerator; diameter varying from 12.0 to 20.00 mm and length varying from 40.0 to 80 mm of the pulse tube; and diameter varying from 2.0 to 6.00 mm and length varying from 1.0 to 3.0 m of the inertance tube. A 1D numerical model, based on the finite volume discretization of governing equations has been selected to build the initial design matrix and solve the governing continuity, momentum, and energy equations. Analysis of variance is performed using the result obtained from the numerical simulation to visualize the variations of COP as a combination of various input parameters. It is observed that after optimizing the input parameters, the COP of the IPTR increases by 15.14%. K E Y W O R D S ANOVA, COP, IPTR, PSO, RSM PANDA AND ROUT | 3509precisely the flow physics at a low operating frequency. Ashwini et al 36 used a thermal nonequilibrium model to visualize variations of the temperature of the solid. Rout et al 37 investigated the effect of porosity of the regenerator on the cooling performance. A few more researchers used the FLUENT code to visualize the effect of thermodynamic processes, swirling flows, and so forth on the refrigeration performance. [35][36][37][38][39] Mulcahey et al 40 reported the convection instabilities generated inside the pulse tube, under the influence of gravity using FLUENT. John et al 41 proposed an approximate design method for the design of a single-stage IPTR using design parameters such as refrigeration capacity, refrigeration temperature, frequency, mean pressure, and pressure ratio using the NIST code REGEN 3.3 (for regenerator), PHASOR, and INERTANCE (a MATHCAD code developed by Radebaugh to design the inertance tube). Many users also used the 1D commercial code SAGE developed by Gedeon associates for the design and optimization of the pulse tube refrigerator. 42,43 No doubt these codes are capable enough for designing pulse tube refrigerators to achieve the targeted output, but modern technology requires high cooling capacity cryocoolers at a fixed refrigeration temperature for further performance improvement of machines used for space and defense applications. This can only be possible by optimizing the performance as a function of input parameters.Multiobjective optimization was applied to improve the performance of a PTR by Jafari et al. 44 In contrast, Rout et al 45 used NSGA-II in combination with "response surface methodology" (RSM) to visualize the simultaneous effect of more than one parameter upon the cooling performance. But for the sake of simplicity, they have consid...

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Experimental analysis of noise disturbances generated by reaction wheel

Mankour,

Smahat,

Bensikaddour

et al. 2024

Aeronaut. j.

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Microvibrations originating from onboard disturbance sources can lead to a range of issues, including a decrease in satellite pointing accuracy, image distortion and blurring. Therefore, reaction wheels emerge as the primary sources of disturbance noise. This paper employs an experimental approach based on the real dynamics of rotating reaction wheel assembly, closely simulating on-orbit configurations to measure noise responses transferred to the satellite structure. An assessment of noise response behaviour, incorporating a comprehensive understanding of the factors influencing the levels, was conducted on a proto-flight satellite for three reaction wheels. Initially, reaction wheel assemblies underwent individual iterative balancing to reduce mass deviations. Subsequently, amplitude-time responses at different rotational speeds of reaction wheel assemblies (RWA) disturbance noise were measured. The experimental results demonstrate that each individually balanced reaction wheel generates independent perturbation noise level due to manufacturing imperfections. Hence, the necessity of wheels testing for accurate prediction and mitigation of disturbance levels is crucial, especially for payloads sensitive to microvibrations. Furthermore, increasing wheel speeds proportionally amplify disturbance noise levels. Therefore, implementing an optimised mission attitude control profile with lower rotation speeds of reaction wheels effectively reduces microvibration levels which minimises risks to payload performance and reduce power consumption.

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Influence of minor geometric features on Stirling pulse tube cryocooler performance

Cited by 3 publications

References 9 publications

A semiempirical methodology to characterise a family of microvibration sources

A semiempirical methodology to characterise a family of microvibration sources

Optimization of an inertance pulse tube refrigerator using the particle swarm optimization algorithm

Experimental analysis of noise disturbances generated by reaction wheel

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