Numerical Thermal Analysis and 2-D CFD Evaluation Model for An Ideal Cryogenic Regenerator

Area of Science:

• Thermodynamics and Heat Transfer
• Cryogenics Engineering
• Computational Fluid Dynamics (CFD)

Background:

• Regenerative cryocoolers (Stirling, Gifford-McMahon, pulse tube) are crucial for IR and superconducting applications due to their size, cost, and reliability.
• The regenerator is a critical component, with its effectiveness directly impacting the cryocooler's overall performance.
• Optimizing regenerator design is essential for enhancing cryocooler efficiency and meeting application demands.

Purpose of the Study:

• To conduct a one-dimensional numerical analysis of idealized thermal equations for the regenerator matrix and working gas.
• To investigate the influence of various design parameters on the performance of an ideal regenerator.
• To propose and validate a 2D axisymmetric CFD model for evaluating the ideal regenerator.

Main Methods:

• Developed a 1D numerical algorithm to predict gas and matrix temperature profiles during heating and cooling cycles.
• Analyzed the impact of regenerator length, diameter, matrix geometry, heat transfer units, and volumetric flow rate.
• Proposed a 2D axisymmetric CFD model for ideal regenerator evaluation and validation.

Main Results:

• The 1D analysis successfully predicted temperature distributions within the regenerator.
• Key parameters influencing ideal regenerator performance were identified and quantified.
• The study established a foundation for validating CFD models against idealized thermal behavior.

Conclusions:

• The numerical analysis provides valuable insights into ideal regenerator behavior.
• Understanding these parameters is crucial for designing more efficient regenerative cryocoolers.
• The proposed CFD model offers a robust method for further investigation and optimization.