Abstract
This research involves the optimization of aggregate production using the Taguchi approach to maximize the production rate of Gneiss stone. The L18 orthogonal array has been used to investigate how the CSS, throw, eccentric speed, and particle size affect the products of the cone of the crusher (its cumulative weight fraction). The CSS, as well as the throw, eccentric speed, and particle size of the cone crusher's cumulative weight fraction has been optimized using the statistical methods of signal-to-noise ratio. The results show that particle size and CSS have a notable influence on cumulative weight fraction, followed by the effect of eccentric speed and throw. The current developed work would be a valuable tool in determining the optimal crushing parameters for excellent performance.