Stirling Convertor Regenerators

Ibrahim, Mounir B.; Tew, Roy C.

doi:10.1201/b11704

Cited by 11 publications

(18 citation statements)

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“…Ibrahim [17] through experiment and CFD simulation, although the Nusselt number of the "involute foil" regenerator described in those literature is generally a little higher than that of the circular channel regenerator because the shapes of the "involute foil" channels are closer to the parallel plates. As can be seen from Eqs.…”

Section: Heat Transfer Characteristics Of the Fully Developed Recipromentioning

confidence: 95%

“…It is worthy to note that at low ω Re (usually less than 1.0) due to the small hydraulic diameter of the flow channels (usually less than 0.2 mm), which is the case for most porous-sheets regenerators in the practical design of Stirling engines, the unsteady effect may have been overestimated, thus the conventional definition of instantaneous Nusselt number based on the quasi-steady assumption as shown below, which is useful to understand the variation of heat transfer characteristics within one cycle, might still be applicable for the most portion of a reciprocating cycle when the advection is strong (excluding the times of flow reversal) [17].…”

Section: Analytical Solution For the Fully Developed Reciprocating Lamentioning

confidence: 99%

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Analysis on the heat transfer characteristics of a micro-channel type porous-sheets Stirling regenerator

Haramura

Tang

et al. 2015

International Journal of Thermal Sciences

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To avoid the high flow frictional loss associated with conventional wire mesh Stirling regenerators, a micro-channel type stacked porous-sheets Stirling regenerator is investigated. An analytical solution is derived for the transient heat transfer characteristics of the fully developed reciprocating laminar flow under prescribed wall temperature profiles. The complex Nusselt number (Nu) is expressed as a function of kinetic Reynolds number (Reω) and Prandtl number (Pr). At low Reω 148 of less than 10, the real part of Nu has an almost constant value of 6.0, approximately equal to the known real-valued Nu for the fully developed unidirectional laminar flow under constant wall heat flux, while the imaginary part is negligible, thus "scaling effect" can be utilized to enhance heat transfer. At higher Reω, both the real and imaginary parts of Nu increase with the increase of Reω and Pr, and the phase shift between the temperature difference and the heat flux gradually increases and approaches 45°. Approximate analytical solutions are also deduced for the entrance region from the integral boundary layer equations in both cases of "Thermally developing flow" and "Simultaneously developing flow". The heat transfer is enhanced in the entrance region and the local Nu in the flow direction approaches the corresponding values of fully developed flow. The analytical results are confirmed by dynamic mesh CFD results, and the obtained Nu~Re  data and patterns generally agree with available analytical and experimental data from published literatures. Application of the analytical results to the design and optimization of Stirling regenerator are also shown.

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Section: Heat Transfer Characteristics Of the Fully Developed Recipromentioning

confidence: 95%

Section: Analytical Solution For the Fully Developed Reciprocating Lamentioning

confidence: 99%

Analysis on the heat transfer characteristics of a micro-channel type porous-sheets Stirling regenerator

Haramura

Tang

et al. 2015

International Journal of Thermal Sciences

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“…The pressure losses due to finite speed of the piston in the finite speed thermodynamics are determined in terms of speed of piston and average molecular speed as follows:

normalΔ p_{w} = \frac{1}{2} ((), p_{c} \frac{{italicaw}_{c}}{C_{c}} + p_{e} \frac{{italicaw}_{e}}{C_{e}}),

where w is speed of piston, p represents instantaneous pressure, c is average molecular speed, and subscripts c and e represent compression and expansion processes, respectively. c and a are determined as follows

a = \sqrt{3 γ},

c = \sqrt{3 italicRT},

where γ and R is specific heat ratio and gas constant, respectively.…”

Section: Thermodynamic Modelsmentioning

confidence: 99%

A comprehensive review on modeling and performance optimization of Stirling engine

et al. 2020

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Summary Modeling with optimization has become a ubiquitous practice in the field of Stirling engine. A plethora of studies in the literature is dedicated in developing a feasible optimized model that can precisely predict the performance of Stirling engine. Hence, the purpose of this article is to compile and expansively review the thermodynamic models and optimization efforts made in pursuit of performance enhancement of the Stirling engine. An extensive range of models available in the literature is painstakingly discussed. Likewise, a wide variety of available optimization techniques spanning from conventional experimental and univariate methods to more complex multiobjective optimization approach are critically reviewed. A comparative analysis of the models is carried out based on the accuracy of their predictability of the performance of Stirling engines. Results obtained from the models are validated through the experimental data of the GPU‐3 Stirling engine prototype. Several optimization techniques are investigated based on the effective and efficient optimization of operating and geometric parameters of the Stirling engine. The review concluded that the Comprehensive Polytropic Model of Stirling engine (CPMS) demonstrated better accuracy in comparison with other models. In addition, the multiobjective particle swarm optimization (MOPSO) technique was found to be effective and computationally efficient.

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“…The heat being absorbed and restored to the gas in the regenerator during one cycle is typically four times the heat that passes through the heater during one cycle [4].…”

Section: Introductionmentioning

confidence: 99%

Enhanced thermodynamic modelling of a gamma-type Stirling engine

Alfarawi

Al-Dadah

Mahmoud

2016

Applied Thermal Engineering

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h i g h l i g h t sEnhanced thermodynamic model for gamma-type Stirling engine was developed. Validation against experiments was performed. Influence of different parameters on engine performance was investigated. Deeper insight into engine improvements was highlighted. Effect of low temperature cooling on engine performance was addressed. a b s t r a c tModelling can substantially contribute to the development of Stirling engines technology and help understanding the fundamental processes of the real cycle for further performance improvement. In the present work, an enhanced thermodynamic model for Gamma-type Stirling engine simulation was developed based on the reconfiguration of non-ideal adiabatic analysis. The developed model was validated against experimental measurements on Stirling engine prototype (ST05 CNC), available at University of Birmingham. Good agreement was found between the model and experiment in predicting the indicated power, shaft power and thermal efficiency at different operating conditions. A parametric study was carried out to investigate the effect of phase angle, gas type, regenerator matrix type and dead volume on engine performance. The feasibility of utilizing the stored cold energy of LN2 to maximize the shaft power was also presented. Results showed that shaft power can be significantly enhanced by 49% for helium and 35% for nitrogen when cooling temperature is lowered to À50°C while heating temperature remains constant at 650°C.

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Stirling Convertor Regenerators

Cited by 11 publications

References 0 publications

Analysis on the heat transfer characteristics of a micro-channel type porous-sheets Stirling regenerator

Analysis on the heat transfer characteristics of a micro-channel type porous-sheets Stirling regenerator

A comprehensive review on modeling and performance optimization of Stirling engine

Enhanced thermodynamic modelling of a gamma-type Stirling engine

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