Increasing productivity of mineral processing plants by simulation method

The development and progression of a nation is dependent on the proper evaluation of its underground and over ground sources with economic and scientific management and production. In that, the equipment and devices that makes life functional and active are made of natural resources, especially minerals.The aim of this project is the use of simulation programs in recovery enhancement of mineral processing plants and exemplifying. The simulation method has been found in early 1960?s in the world and progressed till today. The simulation methods become widespread with rapid developments in this field. The Aggflow Simulation Packaged Software (ASPS) is used to apply ?what-if? scenarios in mineral processing plants such as iron, boron ores and aggregates. Different criterion and parameters are applied on different flow sheets of processing plants to collect and evaluate performance data.Simulation is a technique to create realistic modeling of systems and observing the changes. In other words, the term ?simulation? can be described as the working model of a real system.The simulation of conceptual expressions provides to analyze the system prior to investment. The simulation of an already working system provides the analysis and diagnosis of zones of challenge, conflict or blockage. The point to be taken account is that, the simulation method is never a solution generating method. The solution models should be generated after simulation methods and tested again on simulation model.The use of simulation method is encouraged since the application of simulation method in production systems results in lower operating costs. The diagnosis of operating costs and revision is much more costly while the system starts operating compared to simulation studies prior to operation. The benefits of the plant can be presented prior to investment by simulation method and solutions may be generated.Three different applications of ASPS in iron, boron and aggregates are given in this thesis and evaluated due to the related processing plant model.