OPTIMIZATION OF PLASTER OF PARIS PROCESS PARAMETERS AS A PHASE CHANGE MATERIAL CONSIDERING ITS THERMAL RESISTIVITY

ABSTRACT

Plaster of Paris, a highly available and cost-effective material, shows promise as a PCM due to its ability to store and release thermal energy during phase transitions. However, its effectiveness is contingent upon various process parameters such as particle size, mixing ratio, curing time, and temperature. This research investigates the optimization of plaster of Paris (POP) process parameters to enhance its suitability as a phase change material (PCM), focusing on its thermal resistivity properties through systematic experimentation and analysis aimed at identifying the optimal combination of process parameters to improve its thermal resistivity in view of its usage for thermal energy management applications. An experimental design matrix of twenty experimental runs was developed using central composite design of a design experts. The experimental design was used to cast P.O.P mold which was then subjected to heat, and their thermal resistance measured using a thermtesters. The experimental result was recorded and analyzed with an expert system called Response Surface Methodology (RSM). Various statistical analysis analysis such as sequential sum of squares, lack of fits tests and analysis on variance was carried out on the experimental data. A predictive mathematical model was developed, an optimal mix of water, fiber, and POP cement was identified for maximal thermal resistance in a fiber-reinforced POP cast, which was observed to be 29.130 g of POP cement, 14.045 g of water, and 7.052 g of fiber having a thermal resistivity of 0.360 °C/w. This model allows for accurate thermal performance forecasting under varying process parameter levels, aiding informed decision-making in material selection and application