Abstract
Magnetic refrigeration (MR) technology stands a good chance of replacing the conventional gas compression system (CGCS) of refrigeration due to its unique features such as high efficiency, low cost as well as being environmental friendly. Its operation involves the use of magnetocaloric effect (MCE) of a magnetic material caused by application of magnetic field. Manganite-based material demonstrates maximum MCE at its magnetic ordering temperature known as Curie temperature (TC). Consequently, manganite-based material with TC around room temperature is essentially desired for effective utilization of this technology. The TC of manganite-based materials can be adequately altered to a desired value through doping with appropriate foreign materials. In order to determine a manganite with TC around room temperature and to circumvent experimental challenges therein, this work proposes a model that can effectively estimates the TC of manganite-based material doped with different materials with the aid of support vector regression (SVR) hybridized with gravitational search algorithm (GSA). Implementation of GSA algorithm ensures optimum selection of SVR hyper-parameters for improved performance of the developed model using lattice distortions as the descriptors. The result of the developed model is promising and agrees excellently with the experimental results. The outstanding estimates of the proposed model suggest its potential in promoting room temperature magnetic refrigeration through quick estimation of the effect of dopants on TC so as to obtain manganite that works well around the room temperature.
Highlights
INTRODUCTIONThe prominent physical means of tuning magnetocaloric effect (MCE) and Curie temperature (TC) of manganite based material to the desired ambient value is chemical substitution of foreign materials called dopants into the crystal lattice structure of manganite.[5,14] In order to experimentally develop a manganite-based material that can be used as magnetic refrigerant in magnetic refrigeration (MR) technology, the manganite is subjected to doping so as to determine the concentration and the nature of dopant that shifts the TC of manganite-based material towards the ambient temperature
The environmental danger posed by the conventional gas compression refrigeration system (CGCRS) is of serious concern which warrants alternative means of refrigeration
The main point to be derived from the figures is that gravitational search algorithm (GSA)-support vector regression (SVR) has accurately captured the general trend of the relationship existing between lattice parameters and Tc and as such, given any set of parameters, it is able to estimate the corresponding Tc with a high degree of accuracy
Summary
The prominent physical means of tuning MCE and Curie temperature (TC) of manganite based material to the desired ambient value is chemical substitution of foreign materials called dopants into the crystal lattice structure of manganite.[5,14] In order to experimentally develop a manganite-based material that can be used as magnetic refrigerant in MR technology, the manganite is subjected to doping so as to determine the concentration and the nature of dopant that shifts the TC of manganite-based material towards the ambient temperature.
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