Optimization and Simulation of Operation Performance in Crushing Plants Using Fuzzy Modelling

Abstract

This research includes optimization of aggregate production of the stone crushing plant using fuzzy modelling. The investigation includes onsite aggregate testing and fuzzy logic implementation. Fuzzy modelling is a type of computerized reasoning used to simulate the real plant operation. In this work, a lot of agent degree information for crushers were reproduced using fuzzy logic. Fuzzy logic was then used to shape the information after a crusher process. Fuzzy logic is created to improve the final product gradation for the client. Strategies for utilizing the created fuzzy model is sketched out and could be utilized as a part of a representative preparing program or for informative purposes. About the tonnages anticipated by fuzzy, it is evident that the program does great in predicting the final product tonnage with an average of 13.7 % for just four samples.

Keywords

Aggregate production / crushing / fuzzy modelling / product tonnage

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