Simulations offer valuable insights into how an instrument can be expected to perform and can also point to areas for improvement. In the case of polarimeters described in this article, it is of interest to simulate the motion of the analysing polarizer relative to the fixed defining polarizer as this forms the basis for the optical rotation measurements. To make the simulation more realistic the author incorporated additional factors including (i) the broadband nature of the LED’s emission spectrum, (ii) the variation of the specific rotation of the sample as a function of wavelength, (iii) the spectral response of the detector and (iv) the temperature at which measurements are performed.

Mechanical sampling from conveyors has historically been a staple in the iron ore industry when information related to chemistry, sizing, and moisture is required. In order to optimize automatic sample stations in a changing production environment, BHP Billiton Iron Ore (BHPBIO) developed an ExtendSim model that enables the various combinations of mass–mass, mass– time, time–time and time–mass to be investigated. Their sample station model can utilize actual (variable) feed rates to achieve high resolution and enables the simulation of sample size variation. Cutter speeds and other settings can then be adjusted to better optimize the performance of the sample station with regards to optimal sample size. The model can also assist process engineers in adjusting settings to better optimize the sample station and reduce unwanted events such as blockages. The model can be easily modified to conform to various sample station designs. It is anticipated that the sample station model will be used by process engineers when looking at optimization and trouble shooting. The model is also being used as part of a training package to help new engineers understand the workings of a sample station and the impact minor adjustments to settings can have on sample mass and therefore compliance.

This paper addresses the design of large-scale, integrated sites considering random process failures. Using a novel mixed-integer linear programming (MILP) model, the authors are able to maximize the average production capacity of an integrated site while minimizing the required capital investment. In this case study, ExtendSim is used to analyze a scenario reduction technique, reporting the results of simulating the operation of the Pareto-optimal designs.

Value stream mapping (VSM) is a widely adopted method for transformation of production environments into a lean operational state. However, attributes of the ‘paper and pencil’ approach result in limitations when applying VSM in complex production environments. Using ExtendSim, an enhanced VSM method is developed featuring a feasibility and trade-off analysis which is incorporated into the VSM procedure. A case study covering a process of exhaust gas purification catalyst production is then conducted to test the newly developed method. The VSM project yields a shop floor lead time reduction from 11.4 to 1.4 d.

Optical calculus solution to a wide variety of research and teaching problems.

Process simulation software for the pulp & paper, oil sands, chemical, consumer products, and mining industry.

Models that provide MEL clients with reliable simulators for their critical training requirements.

To assist the decision making process in determining the number of productive resources (i.e. trucks, extraction equipment, and crushers) necessary to optimize mining operations and maximize production.

Library of blocks for ExtendSim describing the infrastructure of pulp and paper mills - pumps, chests and towers, mixing and splitting functions, and input/output of material.