Comparative Study of Optimization Schemes in Mineral Processing Simulations
Paper i proceeding, 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.

Mineral Processing

Comminution

Multi-Objective Optimization

Individual Discipline Feasible

Simulations

Genetic Algorithm

Modelling

Multi-Disciplinary Optimization

Författare

Kanishk Bhadani

Chalmers, Industri- och materialvetenskap, Produktutveckling

Gauti Asbjörnsson

Chalmers, Industri- och materialvetenskap, Produktutveckling

Erik Hulthén

Chalmers, Industri- och materialvetenskap, Produktutveckling

Magnus Bengtsson

Chalmers, Industri- och materialvetenskap, Produktutveckling

Magnus Evertsson

Chalmers, Industri- och materialvetenskap, Produktutveckling

XXIX International Minerals Processing Congress
Moscow, Russia,

Ämneskategorier

Maskinteknik

Produktionsteknik, arbetsvetenskap och ergonomi

Styrkeområden

Produktion

Mer information

Senast uppdaterat

2018-09-24