Calibration and Validation of a Cone Crusher Model with Industrial Data

• This paper reports the calibration and validation of a cone crusher model using industrial data. Usually, there are three calibration parameters in the condensed breakage function; by contrast, in this work, every entry of the lower triangular breakage function matrix is considered a calibration parameter. The calibration problem is cast as an optimization problem based on the least squares method. The results show that the calibrated model is able to fit the validation datasets closely, as seen from the low values of the objective function. Another significant advantage of the proposed approach is that the model can be calibrated on data that are usually available from industrial operation; no additional laboratory tests are required. Calibration and validation tests on datasets collected from two different mines show that the calibrated model is a strong candidate for use in various dynamic simulation applications, such as control system design, equipment sizing, operator training, and optimization of crushing circuits.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Mineral- och gruvteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Mineral and Mine Engineering (hsv//eng)

Keyword

digital twin

cone crusher

model calibration

optimization

calibration based on industrial data

Automatic Control

Reglerteknik

Publication and Content Type

ref (subject category)

art (subject category)