Trade-Off Curves for Performance Optimization in a Crushing Plant
Journal article, 2023

Operational flexibility in an aggregate production process is required to adapt to changes in customer demands. Excessive demand for a particular product fraction can lead to operational alteration wherein re-crushing of the existing larger-sized product fraction is necessary. The choice of re-crushing existing product fractions results in feed condition changes to the crusher. One common approach to producing the desired product is by varying the operation settings of a crusher in a crushing plant. However, knowledge of differences in operational performance for changing feed conditions in the circuit is required. This potentially leads to a problem of performance optimization based on the desired target product, available feed material and capability of the crusher. The paper presents an application of a multi-objective optimization method to generate multiple operational settings for the dynamic change in the operation condition in a crushing plant. Controlled experimental survey data with varying feed conditions are used to calibrate the crusher model using an unconstrained optimization problem solved using a gradient-based algorithm (Quasi-Newton method). Trade-off curves between various performance indicators of the crushing plant using a dynamic simulation platform are generated using multi-objective optimization using a non-gradient-based algorithm (genetic algorithm). The results of the application can help the operators and plant managers to make proactive decisions to steer the operation of the crushing plant towards the desired needs of the operation.

dynamic simulation

optimization

crusher calibration

comminution

production balance

genetic algorithm

Pareto-set

performance mapping

Author

Kanishk Bhadani

Chalmers, Industrial and Materials Science, Product Development

Gauti Asbjörnsson

Chalmers, Industrial and Materials Science, Product Development

Monica Soldinger Almefelt

Swerock

Erik Hulthén

Chalmers, Industrial and Materials Science, Product Development

Magnus Evertsson

Chalmers, Industrial and Materials Science, Product Development

Minerals

2075-163X (eISSN)

Vol. 13 10 1242

Optimization of real processes for rock material production

Development Fund of the Swedish Construction Industry (SBUF) (13753), 2019-11-01 -- 2022-06-30.

Subject Categories

Mineral and Mine Engineering

Production Engineering, Human Work Science and Ergonomics

Control Engineering

Driving Forces

Sustainable development

Areas of Advance

Production

DOI

10.3390/min13101242

More information

Latest update

11/16/2023