An adiabatic model for a two-stage double-inlet pulse tube refrigerator

Shafi, K. A.; Rasheed, K. K. Abdul; George, JM; Sajid, N K Mohammed; Kasthurirengan, S.

doi:10.1243/09544062jmes775

Cited by 6 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A numerical model based on the adiabatic gas flow behavior in the PT has been developed for the two‐stage PTR. Some of the assumptions used in this model are as follows: Axial heat conduction in PT is neglected. Gas flow within PT is adiabatic. Pressure drops in PTs and regenerators are neglected. Effect of compressibility of helium gas is neglected. Working fluid is treated as an ideal gas. Effectiveness of heat exchanges and regenerators are 100%. Flow in system is one dimensional. Flows in Orifice and double inlet (DI) are assumed to be adiabatic. …”

Section: Numerical Analysismentioning

confidence: 99%

“…Several theoretical models such as enthalpy flow theory, thermo-acoustic theory, and so on have been used for the performance predictions of PTRs. [1][2][3][4] However, all the experimental features are not explainable by any single theory. Therefore, we have attempted numerical modeling for a two-stage PTR that assumes adiabatic flow of gas through PTs.…”

Section: Introductionmentioning

confidence: 97%

“…Several theoretical models such as enthalpy flow theory, thermo‐acoustic theory, and so on have been used for the performance predictions of PTRs . However, all the experimental features are not explainable by any single theory.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Numerical simulation of a two‐stage pulse tube refrigerator based on adiabatic model

Thejaswini¹,

Chandan²,

Kasthurirengan

et al. 2018

Heat Trans. Asian Res.

View full text Add to dashboard Cite

Cryocoolers are devices that are capable of achieving and maintaining cryogenic temperatures for a number of applications such as high‐energy physics, cooling of superconducting magnets, sensors, high‐vacuum production, cryotronics, cryonics, and so on. All the above applications need coolers with high reliability, efficiency, low maintenance, and low cost. The absence of moving parts at the cryogenic temperatures makes the pulse tube (PT) coolers quite suitable for the above applications. In spite of considerable developments in the area of PT cryocoolers, many of the fundamental processes responsible for the cold production are not fully understood. In this work, we present the results of numerical simulations of two‐stage pulse tube refrigerators (PTR) using adiabatic flow of gas through the pulse tube system. A two‐stage PTR is the improved version of single‐stage system to achieve temperature close to 4 K. Assuming adiabatic gas flow through PTs, the algebraic equations for pressure, mass flow, and volumes at different locations have been derived and solved by a MATLAB based program. Using the above, the performance of PTR has been optimized for different operational parameters. The cooling powers predicted by the model have been compared with the experimental data, and they are in good agreement with each other.

show abstract

Section: Numerical Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

See 1 more Smart Citation

Numerical simulation of a two‐stage pulse tube refrigerator based on adiabatic model

Thejaswini¹,

Chandan²,

Kasthurirengan

et al. 2018

Heat Trans. Asian Res.

View full text Add to dashboard Cite

show abstract

“…Ever since development of pulse tube refrigerators, many mathematical models such as the isothermal model, second‐order isothermal model, adiabatic model, enthalpy flow model, phasor analysis, and numerical models have been proposed by various researchers to predict the theoretical cooling power and coefficient of performance (COP). The exergy model developed by Razani et al argued that the regenerator is the primary source of exergy destruction and entropy generation.…”

Section: Introductionmentioning

confidence: 99%

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

Panda

Rout

2019

Heat Trans. Asian Res.

View full text Add to dashboard Cite

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...

show abstract

Numerical analysis of different valve effects on the cooling performance of a two-stage GM type pulse tube cryocooler

Kim

Zhi

Qiu

et al. 2017

International Journal of Refrigeration

View full text Add to dashboard Cite

An adiabatic model for a two-stage double-inlet pulse tube refrigerator

Cited by 6 publications

References 5 publications

Numerical simulation of a two‐stage pulse tube refrigerator based on adiabatic model

Numerical simulation of a two‐stage pulse tube refrigerator based on adiabatic model

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

Numerical analysis of different valve effects on the cooling performance of a two-stage GM type pulse tube cryocooler

Contact Info

Product

Resources

About