A new mine planning optimisation software tool called Blasor has been developed and implemented at BHP Billiton's Yandi Joint Venture operation in the Pilbara. Blasor is specifically configured for designing and optimising the longterm pit development plan for the multipit blendedore operation at Yandi. It is used for optimal design of the ...
Schematic of the model: (a) schematic of model size, m; (b) 2D numerical model diagram. A total of 41,331 balls are found in the model, where 35,093 red balls represent the ore, and 6238 yellow ...
1. Introduction. After the last commodities supercycle of iron ore, mining companies started to have as their main objective the fulfillment of ore quality goals and reduction of the variability of certain control parameters (such as the grade of iron, silica, manganese, and particle size range) without detriment to the production volume.
Enumeration optimization algorithm of production scheduling. Set a wide enough range of ore production capacity [q low, q up], and the optimal production capacity must be within this ...
Basic purpose of this model is to use simulation for efficient plant design and help in minimizing risk at the very initial stage of project. Feed to the plant is Hematite iron ore from a deposit ...
The mining area has a total area of 1400 ha, and the total ore production has been estimated to be 90 million tons per year, with a grade of approximately % iron. The mining process starts with cable shovels ( 7495) that dig and load the material directly into the mobile size rig (MSR) and mobile crusher rig (MCR) systems.
During the mining, crushing, beneficiation and transportation of rich Mn ores, about 30% of the mined ores are converted into manganese ore fines with low Mn grade (Singh et al., 2011). In India, almost half of manganese ore resources are ferruginous in nature (Singh et al., 2011, Singh and Biswas, 2017).
The sintering and oreforming process of iron ore powder is divided into three steps: solid phase reaction, liquid phase formation, and condensation, crystallization and consolidation [11][12] [13 ...
The main aim of the study is pit optimization for improved NPV and life of mine in heterogeneous iron ore deposit. The aim was achieved by the following specific objectives: 1. Analysis of the pit economics by generating nested pit shell through varying the revenue factor from to 2.
A serious problem faced by the metal mineral mining industry is the challenge to the sustainable development of resource mining due to the continuous decline of ore geological grade. In the case of producing concentrates of the same quality, compared with using only highgrade raw ore, ore blending is a way to slow down the decline of ore geological grade by combining high and lowgrade raw ...
The optimization process will be carried out to find the optimum bit dimeter while fulfilling all of the above mentioned criteria. As the final result of the optimization model shows, the bit diameter of in. is capable of achieving the annual ore production of 30 million tonnes. Table 4 depicts other parameters in the optimization run.
Since the particle size of the ore feed cannot be less than 100 mm, the design iron ore model diameter is 100 mm. According to the physical properties of the iron ore obtained by experiments, such as the porosity and coordination number, the diameter of the fraction used to fill the iron ore particles was determined to be 5 mm.
A twodimensional mathematical model of the iron ore sintering process was developed which incorporated most significant thermal phenomena and chemical reactions. With FLUENT. Acknowledgments. The authors thank the Hunan Provincial Innovation Foundation of China (No. CX2013B065). The authors also thank the anonymous referees for comments on ...
The size of the model is as follows: the length in the X direction is m, the length in the Y direction is m, and the length in the Z direction is the element thickness and is m; that is, the overall ore body model is 2 m × 2 m × m. The four boundaries of the blasting numerical model were all set as nonreflecting boundaries ...
This paper presents an algorithm for optimizing the scheduling of trackless equipment in underground mines. With the shortest working interval and maximum productivity as goals, a genetic algorithm (GA) is used to solve the problem, and obtain the optimal working sequence with the most suitable equipment configuration possible. The input for the proposed method is the number of units and ...
In this study, the following leaching parameters were tested to optimize the gold recovery for the first time from an oxide ore using the response surface methodology: initial thiocyanate ...
Iron ore direct reduction is an attractive alternative steelmaking process in the context of greenhouse gas mitigation. To simulate the process and explore possible optimization, we developed a systemic, multiscale process model. The reduction of the iron ore pellets is described using a specific grain model, reflecting the transformations from hematite to iron. The shaft furnace is modeled as ...
Block model and estimation of iron ore grades were ... it is a capital process that involves ... We find that domestic firms in China's iron ore mining industry that conduct RD are on average 0. ...
ore processing consists of crushing and grinding. For bulk material ( iron ore) once reconditioned, the product is stacked in stockyards and then it is transported to the port. For product types that come in various grades of quality, such as iron ore, an additional step known as product blending takes place before the product
Cooling process of iron ore pellets in a circular cooler has great impacts on the pellet quality and systematic energy exploitation. However, multivariables and nonvisualization of this gray system is unfavorable to efficient production. Thus, the cooling process of iron ore pellets was optimized using mathematical model and data mining techniques. A mathematical model was established and ...
Thus, the total specific energy for concentrating iron ore at the average ore grade (∼ 50% iron) from Thanatia (% iron) was considered as the sum of the energy for the orehandling process and the energy for concentration. In our model, the minerals for concentration are obtained from Earth's crust; surface mining is assumed.
Threedimensional block models are the most frequently used tool for estimating mineral resources and reserves within a mineral deposit. In open pit mining, the basis of mine design and the long term mining schedule is calculation of the ultimate pit limit. The ultimate pit limit is the pit with the highest profit value. Over the years, different algorithms have been developed that enable us ...
Iron ore direct reduction is an attractive alternative steelmaking process in the context of greenhouse gas mitigation. To simulate the process and explore possible optimization, we developed a systemic, multiscale process model. The reduction of the iron ore pellets is described using a specific grain model, reflecting the transformations from ...
The annual production scheduling of open pit mines determines an optimal sequence for annually extracting the mineralized material from the ground. The objective of the optimization process is usually to maximize the total Net Present Value (NPV) of the operation. Production scheduling is typically a Mixed Integer Programming (MIP) type problem containing uncertainty in the geologic input data ...
DOI: /SX(15)301035 Corpus ID: ; Optimization of Cooling Process of Iron Ore Pellets Based on Mathematical Model and Data Mining article{Yang2015OptimizationOC, title={Optimization of Cooling Process of Iron Ore Pellets Based on Mathematical Model and Data Mining}, author={Guiming Yang and Xiaohui Fan and Xuling Chen and Xiaoxian Huang and Xi Bing Li}, journal ...
Energy. Rock drilling, blasting, and comminution (crushing and grinding) consume a vast amount of energy in hard rock mines. As mentioned in Sect. 1, statistics from hard rock mines indicates that drilling and blasting consumes 2% and comminution does 53% of the total energy input in the whole production chain from mining to mineral processing (Spathis 2015), see Fig. 1.
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