Parametric Optimization For Irreversible Ferroelectric Stirling Refrigeration Cycle

Today refrigeration technology has been widely used in many fields such as defensecommunications, and living, working environment, etc. In order to be closer to reality,from the perspective of the finite time thermodynamics many scholars study refrigerationsystems. Meanwhile, with the development of science and technology, the greenhouseeffect has become increasingly serious. In order to resolve these contradictions, solidrefrigeration is attracted attention, in which ferroelectric crystals Stirling refrigerator isgetting more and more respected science and technology workers attention for its highefficiency, low noise, environmental protection and ease of maintenance. In recent years,many studies on ferroelectric refrigeration materials, ferroelectric and ferroelectricrefrigeration prototype refrigeration cycle theory have become a hot research topic. Froma variety of different factors irreversibly many scholars start to analyze the impact ofcertain non-reversible factor in the performance of the refrigeration cycle. This thesisstudies on ferroelectric Stirling refrigeration cycle performance on the basis of thesefindings, analyzes the impact of Ferroelectric Stirling refrigeration cycle when multiplefactors coexist and with optimal control theory methods to optimize performanceparameters to improve overall system performance. If model built is closer to reality, thetheory has gained greater universality and more practical value.The first chapter briefly describes the emergence and development status finite timethermodynamics and explains the basic principles and characteristics of the coolingadvantages of ferroelectric crystals.The second chapter first establishes irreversible Ferroelectric Stirling cyclerefrigeration cycle the new model on the basis of the thermodynamic properties offerroelectric crystals using finite time thermodynamics, optimal control theory to derivethe cooling rate, cooling coefficient of mathematical expressions, and refrigeration cyclecoefficient of the objective function for the optimization of cooling rates. Performancecurves can obtain numerical calculation refrigeration cooling rate coefficient to analyzetheir optimization work area.Chapter III Conclusion Chapter, continues in-depth derive the finite rate of heatconduction, the heat loss, heat leakage losses, and irreversibility in the working fluid andother factors detailed discussion of the impact of ferroelectric Stirling refrigeration cycle, numerical and graphical method. These irreversible factors affect the refrigeration cycleand obtain the input power, the performance limit of the cooling temperature and otherimportant parameters of the mathematical formula and tables related limits. Severalspecial cases for further analysis were discussed. Results consist with the theoreticalliterature. The conclusion of this paper can be used as further study ferroelectric Stirlingrefrigeration cycle system performance characteristics of the theoretical basis, can alsobehelpful for ferroelectric crystals Stirling refrigerator parameter optimization, performanceimprovement.