Analysis of Quicklime Production from Eggshell through Factorial Study

Rishikesh Tiwari

Abstract

Factorial analysis is a method used in experimental design to assess the impact of different input factors on the resulting output. Quicklime is used extensively in many sectors, including those that produce paper, glass, tannery products, agriculture, water treatment, building, and agriculture. This study focused on evaluating key parameters in the calcination process, specifically calcination temperature, calcination time, and the size of eggshell and snail shell particles. The study successfully developed and validated two process models for factorial analysis. Validation tests demonstrated that the models were accurate, with prediction intervals within the 95% confidence range, and residual errors below 5%. The study's findings demonstrated the importance of the interactions between calcination temperature, calcination time, and eggshell and snail shell particle size on quicklime yield and reactivity. Using the factorial approach, the study recommended optimal settings for quicklime production. A compromise between a calcination temperature of 900°C and a calcination time of 150 minutes was found to yield the highest quicklime quantity at 93.5232%. Alternatively, an optimal calcination time of 210 minutes and a calcination temperature of 895.03°C resulted in the best quicklime reactivity at 0.467835°C/s.