training courses

 Introduction to Data Analysis and Simulation with JKSimMet

This course is the first day of the advanced JKSimMet course.  The concepts of mass balancing, model-fitting and optimisation using simulation models will be demonstrated using a mathematical model of the hydrocyclone to give an introduction to the JKSimMet functionality.


Course Objectives

  • Introduction to the benefits of data analysis and simulation for mineral processing plants.
  • Learn and practise the concepts of mass balancing plant data using JKSimMet.
  • Learn and practise the concepts of model-fitting and simulation using JKSimMet.

Course Outline

  • Introduction to simulation and modelling
  • Overview of JKSimMet including data presentation features
  • Mass balancing theory and practice
  • Model-fitting theory and practice
  • Optimisation techniques using simulation

The mathematical model of the hydrocyclone will be used throughout this course to demonstrate the concepts of mass balancing, model-fitting and optimisation using simulation models.


This course will have a heavy emphasis on ‘hands-on’ work and one computer will be available for each two attendees.


Course Materials

All attendees receive a copy of the JKSimMet notes.


Course Attendees

This course is suitable for metallurgists and engineers who require an introduction to data analysis and simulation using JKSimMet.