This paper describes the model as a predictor of crusher power draw, discusses the application of the model, and considers the relationship between power draw and crusher performance. Contributor (s): J S Andersen, T J Napier-Munn.
The objective of this research was to develop a mathematical model for gyratory crushers to help in the prediction of energy consumption and to analyze dominant parameters that affect this...
was carried on a model double-toggle jaw crusher which allows crushing forces, energy and toggle displacement to be measured. The main aim of the work was to determine the energy consumption of crushing process assuming a given level of fragmentation.
The existence of accurate power prediction as well as optimizing the steps for primary crushing will offer vital tools in selecting a suitable crusher for a specific application. In this work, the specific power consumption of a jaw crusher is predicted with the help of the adaptive neuro-fuzzy interference system (ANFIS).
Traditional models of high pressure grinding rolls (HPGR) crushers rely heavily on survey data to make accurate predictions. In this paper, a consolidation of previous approaches of modeling comminution machines is combined with insights from crusher modeling to develop a time dynamic process model of the HPGR.
The paper describes a method to predict the product particle size distribution (PSD) of a cone crusher. A previously developed energy mode that considers the entire size distribution, was applied to the calculated PSD.
The objective of this work is to present a model for calculating the capacity and power of a VSI crusher. We also present a method for calibrating a breakage model for full scale VSI with the use of laboratory tests.
Laboratory jaw crushing experiments show that the capacity of a jaw crusher is dependent upon fracture toughness and the elastic modulus. Models for the prediction of power consumption, breakage function/product size, and volumetric capacity have been developed based on these results.
The objective of this research was to develop a mathematical model for gyratory crushers to help in the prediction of energy consumption and to analyze dominant parameters that affect this energy … Expand
This article reports a comparative study of artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) models for better prediction of wire electro-discharge machining...
