Classification of simulation software pdf




















JKSimMet is an award-winning, general-purpose computer software package for the analysis and simulation of comminution and classification circuits in mineral processing operations. The package is designed for metallurgists who wish to apply process analysis techniques to measure and optimise plant performance, and design engineers who require process simulation models to assess design alternatives.

JKSimMet integrates all tasks associated with data analysis, optimisation, design and simulation, including the storage and manipulation of models, data and results, within one package. Mass balancing and model fitting of complete circuits are standard features.

It is fully interactive and operates with high-resolution colour graphics. These graphics facilitate the display of detailed plant flowsheets and accompanying information. Simulation of Steady State Performance in Flotation Plants - helping to improve plant operating performance. JKSimFloat is a general purpose computer software package for the simulation of flotation plant operations. The package is designed to service the diverse needs of plant metallurgists, design engineers, researchers and consultants.

JKSimFloat integrates tasks associated with data analysis, and circuit simulation in one software package. It is fully interactive, facilitating the display of detailed flotation flowsheets and accompanying information, allowing for easy interpretation of simulation data. The models behind JKSimFloat have been applied to over flotation operations world-wide in commodities including base metals e.

JKVBOC is an engineering tool to simulate and predict blast movement in open pit mining to make proactive decisions. The total simulation time lies between 20 and 60 minutes depending on the size of the blast, thus JKVBOC can be used to evaluate ore loss and dilution in real time, or to perform several pre-blast simulations to evaluate different blast pattern, blast timing and initiation options.

The package is designed for drill and blast engineers to run simulations prior to drilling to optimize pattern design parameters based on value of ore; mining engineers to provide informative decision for the excavation plan; geologists and ore controllers can improve the control of ore loss and dilution; and mineral processing fragmentation models and ROM PSD can be linked to downstream process to achieve optimum throughput and processing strategy.

The power of JKVBOC goes beyond ore control: multiple simulations can be run to assess alternative blast designs daily, allowing on-site drill and blast engineers to find the best practices to maximize the value of the orebody. JKMultiBal is a powerful tool for the mass-balancing of comminution and flotation circuits and other areas of mineral processing plants.

Simulation and Information Management for Blasting in Mines - based on more than two decades of experience. JKSimBlast is an award-winning, general-purpose software system for simulation and information management for blasting in mines and elated operations with the aim of providing the best possible system for blast management. It has over users throughout the world in surface, underground and tunnel blasting applications, working in mines, explosives supply, consulting, contracting and education.

The modular system is designed for engineers who need to standardise their control of blasting, by quantifying and trapping the experience of blasting personnel in a consistent, retrievable format. JKSimBlast can ensure accurate, long-term storage of plans and results, particularly where this is a statutory requirement or for environmental compliance.

It applies not only to mine and quarry operations, but also research, education, consulting, contracting and construction. A simulation model can act as the framework to integrate the various components in order to better understand their interactions. As such, it becomes a management tool that keeps you focused on the "big picture" without getting lost in unimportant details.

Because simulation is such a powerful tool to assist in understanding complex systems and to support decision-making, a wide variety of approaches and tools exist.

Many special purpose simulators exist to simulate very specific types of systems. For example, tools exist for simulating the movement of water and contaminants in an estuary, the evolution of a galaxy, or the exchange rates for a set of currencies.

The key attribute of these tools is that they are highly specialized to solve a particular type of problem. In many cases, these tools require great subject-matter expertise to use. In other cases, however, the system being simulated may be so highly specified that using the tools is quite simple i. Other tools are not specialized to a particular type of problem. Rather, they are "tool kits" or general purpose frameworks for simulating a wide variety of systems.

There are a variety of such tools, each tailored for a specific type of problem. What they all have in common, however, is that they allow the user to model how a system might evolve or change over time. Such frameworks can be thought of as high-level programming languages that allow the user to simulate many different kinds of systems in a flexible way.

Perhaps the simplest and most broadly used general purpose simulator is the spreadsheet. Although spreadsheets are inherently limited by their structure in many ways e. Other general purpose tools exist that are better able to represent complex dynamics, as well as provide a graphical mechanism for viewing the model structure e.

Although these tools are generally harder to learn to use than spreadsheets and are typically more expensive , these advantages allow them to realistically simulate larger and more complex systems than can be done in a spreadsheet. These tools rely on a transaction-flow approach to modeling systems. Models consist of entities units of traffic , resources elements that service entities , and control elements elements that determine the states of the entities and resources.

Discrete simulators are generally designed for simulating processes such as call centers, factory operations, and shipping facilities in which the material or information that is being simulated can be described as moving in discrete steps or packets. They are not meant to model the movement of continuous material e. This is a special class of discrete event simulator in which the mobile entities are known as agents.

Whereas in a traditional discrete event model the entities only have attributes properties that may control how they interact with various resources or control elements , agents have both attributes and methods e. An agent-based model could, for example, simulate the behavior of a population of animals that are interacting with each other. This class of tools solves differential equations that describe the evolution of a system using continuous equations. These type of simulators are most appropriate if the material or information that is being simulated can be described as evolving or moving smoothly and continuously, rather than in infrequent discrete steps or packets.

For example, simulation of the movement of water through a series of reservoirs and pipes can most appropriately be represented using a continuous simulator. Continuous simulators can also be used to simulate systems consisting of discrete entities if the number of entities is large so that the movement can be treated as a flow.

A common class of continuous simulators are system dynamics tools, based on the standard stock and flow approach developed by Professor Jay W. Forrester at MIT in the early s. These tools combine the features of continuous simulators and discrete simulators.

That is, they solve differential equations, but can superimpose discrete events on the continuously varying system. GoldSim is a hybrid simulator. This website uses cookies to ensure you get the best experience on our website. Learn more Got it! What is Simulation? The Purpose of Simulation We frequently look into the future of mankind and see dangers Looking into the future may be one of the reasons that brains evolved in the first place.

Richard Dawkins The underlying purpose of simulation is to shed light on the underlying mechanisms that control the behavior of a system. Addressing Risk and Uncertainty Using Probabilistic Simulation Our knowledge of the way things work, in society or nature, comes trailing clouds of vagueness. Vast ills have followed a belief in certainty. Kenneth Arrow Nobel Laureate, Economics, Although simulation can be a valuable tool for better understanding the underlying mechanisms that control the behavior of a system, using simulation to make predictions of the future behavior of a system can be difficult.

Deterministic Simulation Many simulation tools and approaches are deterministic. Probabilistic Simulation It is possible, however, to quantitatively represent uncertainties in simulations.



0コメント

  • 1000 / 1000