Comparative Study of Optimization Schemes in Mineral Processing Simulations
Paper in proceedings, 2018

Modelling and simulations for mineral processing plants have been successful in replicating and predicting predefined scenarios of an operating plant. However, there is a need to explore and increase the potential of such simulations to make them attractive for users. One of the tools to increase the attractiveness of the simulations is through applying optimization schemes. Optimization schemes, applied on mineral processing simulations, can identify non-intuitive solutions for a given problem. The problem definition itself is subjective in nature and is dependent on the purpose of the operating plant.
The scope of this paper is to demonstrate two optimization schemes: Multi-Objective Optimization (MOO) using a Genetic Algorithm (GA) and Multi-Disciplinary Optimization (MDO) using an Individual Discipline Feasible (IDF) approach. A two stage coarse comminution plant is used as a case plant to demonstrate the applicability of the two optimization schemes. The two schemes are compared based on the problem formulations, types of result and computation time. Results show that the two optimization schemes are suitable in generating solutions to a defined problem and both schemes can be used together to produce complementary results.

Genetic Algorithm

Simulations

Individual Discipline Feasible

Modelling

Comminution

Multi-Disciplinary Optimization

Mineral Processing

Multi-Objective Optimization

Author

Kanishk Bhadani

Chalmers, Industrial and Materials Science, Product Development

Gauti Asbjörnsson

Chalmers, Industrial and Materials Science, Product Development

Erik Hulthén

Chalmers, Industrial and Materials Science, Product Development

Magnus Bengtsson

Chalmers, Industrial and Materials Science, Product Development

Magnus Evertsson

Chalmers, Industrial and Materials Science, Product Development

IMPC 2018 - 29th International Mineral Processing Congress

Vol. 2019 464-473

29th International Mineral Processing Congress, IMPC 2018
Moscow, Russia,

Subject Categories

Mechanical Engineering

Production Engineering, Human Work Science and Ergonomics

Areas of Advance

Production

More information

Latest update

2/13/2019