Response Surface Methodology for Improving Quicklime Production from Eggshell

Salisu Nuhu

Abstract

This study aimed to enhance the characteristics of quicklime by creating practical models based on experimental data. The research focused on analyzing the impact of three key factors during the calcination process: temperature, duration, and the size of eggshell particles. Two process models for RSM models were successfully created and validated. The residual errors between the actual values and the predicted values in the modeling validation runs were less than 5%, and they fell within the 95% prediction interval of the generated models. The study's findings indicate that the calcination temperature, calcination time, and eggshell particle size are the key variables that significantly affected the quicklime yield and reactivity. The RSM method demonstrates that a compromised configuration of calcination temperature of 945.91oC and calcination time of 180.82 min will still yield the desired results. will result in quicklime with an ideal yield of 99.6608%, an ideal level of 210 minutes at 895.03 degrees Celsius, and an ideal quicklime reactivity of 0.467835 degrees Celsius per second. would lessen the amount of downtime experienced by industries experiencing issues brought on by variations in the grade of quicklime purchased. The empirical response surface models (RSM) established in this study are valuable tools that quicklime manufacturers can employ to pinpoint the optimal calcination process parameters. Quicklime production is improved by these models in terms of both quantity and quality.