Applied Calibration and Validation Method of Dynamic Process Simulation for Crushing Plants
Journal article, 2021

There is a need within the production industry for digitalization and the development of meaningful functionality for production operation. One such industry is aggregate production, characterized by continuous production operation, where the digital transformation can bring operational adaptability to customer demand. Dynamic process simulations have the ability to capture the change in production performance of aggregate production over time. However, there is a need to develop cost-efficient methodologies to integrate calibrations and validation of models. This paper presents a method of integrating an experimental and data-driven approach for calibration and validation for crushing plant equipment and a process model. The method uses an error minimization optimization formulation to calibrate the equipment models, followed by the validation of the process model. The paper discusses various details such as experimental calibration procedure, applied error functions, optimization problem formulation, and the future development needed to completely realize the procedure for industrial use. The validated simulation model can be used for performing process planning and process optimization activities for the crushing plant’s operation.

data-driven modeling

aggregate production

digitalization

comminution

dynamic process

classification

optimization

Author

Kanishk Bhadani

Chalmers, Industrial and Materials Science, Product Development

Gauti Asbjörnsson

Chalmers, Industrial and Materials Science, Product Development

Barbara Maria Schnitzer

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

University of Gothenburg

Johannes Quist

Chalmers, Industrial and Materials Science, Product Development

Christian Hansson

Skanska Industrial Solutions AB

Erik Hulthén

Chalmers, Industrial and Materials Science, Product Development

Magnus Evertsson

Chalmers, Industrial and Materials Science, Product Development

Minerals

2075-163X (eISSN)

Vol. 11 9 921

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

Mechanical Engineering

Production Engineering, Human Work Science and Ergonomics

Driving Forces

Sustainable development

Areas of Advance

Production

DOI

10.3390/min11090921

More information

Latest update

4/5/2022 6