OPTIMIZATION OF PLASTER OF PARIS AS PHASE CHANGE MATERIAL CONSIDERING ITS THERMAL RESISTIVITY
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Abstract
Plaster of Paris (POP), known for its affordability and accessibility, exhibits potential as a phase change material (PCM) due to its capacity to store and release thermal energy during phase transitions. However, its efficacy hinges on various factors including particle size, mixing ratio, curing time, and temperature. This study delves into optimizing POP process parameters to enhance its suitability as a PCM, with a focus on thermal resistivity properties. Through systematic experimentation and analysis, we aim to pinpoint the ideal combination of process parameters to bolster thermal resistivity for applications in thermal energy management. Our research commenced with the fabrication of POP molds, where we tailored diverse formulations by adjusting ratios of POP cement, fiber, and water to achieve specific attributes. Subsequent exposure to controlled heat allowed us to meticulously gauge thermal resistivity using precise thermotesting equipment. Analysis of these data enabled us to derive meaningful
insights into material performance under varying conditions. By leveraging response surface methodology and statistical analysis, our investigation pinpointed the optimal blend of water, fiber, and POP cement for maximizing thermal resistance
in fiber-reinforced POP cast mixtures. The development of a predictive mathematical model facilitates accurate thermal performance forecasting across different process parameter configurations, facilitating informed decision-making in material selection and application.
insights into material performance under varying conditions. By leveraging response surface methodology and statistical analysis, our investigation pinpointed the optimal blend of water, fiber, and POP cement for maximizing thermal resistance
in fiber-reinforced POP cast mixtures. The development of a predictive mathematical model facilitates accurate thermal performance forecasting across different process parameter configurations, facilitating informed decision-making in material selection and application.
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