Fan and pitch angle selection for efficient mine ventilation using analytical hierachy process and neuro fuzzy approach

Taghizadeh Vahed, Amir
Ventilation is a critical task in underground mining operation. Lack of a good ventilation system causes accumulation of harmful gases, explosions, and even fatalities. A proper ventilation system provides adequate fresh air to miners for a safe and comfortable working environment. Fans, which provide air flow to different faces of a mine, have great impact in ventilation systems. Thus, selection of appropriate fans for a mine is the acute task. Unsuitable selection of a fan decreases safety and production rate, which increases capital and operational costs. Moreover, pitch angle of fans’ blades plays an important role in fan’s efficiency. Therefore, selection of a fan and its pitch angle, which yields the maximum efficiency, is an emerging issue for an efficient mine ventilation. The main objective of this research study is to provide a decision making methodology for the selection of a main fan and its appropriate pitch angle for efficient mine ventilation. Nowadays, analytical hierarchy process as multi criteria decision making is used, and it yields outputs based on pairwise comparison. On the other hand, Fuzzy Logic as a soft computing method was combined with analytical hierarchy process and combined model did not yield appropriate results; because Fuzzy AHP increased uncertainty ratio in this study. However, fuzzy analytical hierarchy process might be inapplicable when it faces with vague and complex data set. Soft computing methods can be utilized for complicated situations. One of the soft computing methods is a Neuro-Fuzzy algorithm which is used in classification and DM issues. This study has two phases: i) selection of an appropriate fan using Analytical Hierarchy Process (AHP) and Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and ii) selection of an appropriate pitch angle using Neuro-Fuzzy algorithm and Fuzzy AHP method. This study showed that AHP can be effectively utilized for main fan selection. It performs better than Fuzzy AHP because FAHP contains more expertise and makes problems more complex for evaluating. When FAHP and Neuro-Fuzzy is compared for pitch angle selection, both methodologies yielded the same results. Therefore, utilization of Neuro-Fuzzy in situation with complicated and vague data will be applicable.


Numerical modeling of groundwater flow at a coal exploration site in Eskişehir – Turkey
Kılıç, Hatice; Yazıcıgil, Hasan; Department of Geological Engineering (2016)
Numerical groundwater models are useful tools for the evaluation of the complex groundwater systems in the pre-feasibility phase of the mining activities. They can be used to simulate three-dimensional groundwater system and its interaction with these activities. The purpose of this study is to develop conceptual and numerical models of the groundwater flow and evaluate the impact of preliminary dewatering of a coal exploration site in Eskişehir, Turkey. In this study, conceptual model including calculation...
Operational factors affecting maturity of units in the Beypazarı trona mine
Beşir, Tuğçe; Arol, Ali İhsan; Department of Mining Engineering (2019)
Solution mining method is used for extracting trona ore from underground at the Beypazarı trona mine. Two vertical and one directionally drilled well are combined in a target trona seam as a production unit. Solvent containing 2-3 % Total Alkalinity at a temperature between 60-80 oC is injected from horizontal well and brine is taken from vertical wells with 14-15 % Total Alkalinity (TA) with a temperature of 40-50 oC. When brine concentration of units reaches design parameters, production unit is called as...
Landuse Change Detection in a Surface Coal Mine Area Using Multi Temporal High Resolution Satellite Images
Demirel, Nuray; EMİL, MUSTAFA KEMAL (2010-05-26)
Surface mining activities, exploitation of ore and stripping and dumping overburden, cause changes on the land cover and landuse of the mine area. The areal extend of the land disturbance could substantially be large for surface coal mining due to the nature of the coal extraction process. Sustainable mining requires continuous monitoring of the land cover and landuse change induced by the mining activities. This is essentially important for identifying the long-term impacts of mining on environment and lan...
Risk assessment by fault tree analysis of methane explosions in Turkish hard coal enterprises underground mines
Mevsim, Rıdvan; Demirel, Nuray; Department of Mining Engineering (2016)
Mining is one of the most hazardous industries in the world. Among all mining professions, underground coal mining has the highest occupational accident and disease rates. Methane explosion appears as the major accident type which results in severe loss of life and property in underground coal mining. Including underground coal mines, preparing a practicable risk assessment is the primary step to sustain a safe workplace environment. The main objective of this study is to specify the root causes of methane ...
A Quantitative risk assessment methodology for occupational accidents in underground coal mines: a case of Turkish hard coal enterprises
Erdoğan, Hasan Hüseyin; Düzgün, H. Şebnem; Kestel, Sevtap Ayşe; Department of Mining Engineering (2016)
Underground coal mining is one of the most dangerous occupations throughout the world. The incidence of injuries and the days lost due to accidents in underground coal mines are much greater than industrial average. In general, the reasons behind an underground occupational accident are too complex to analyze. The risk analysis and assessment is the most suitable method to cope with these type of issues. This study proposes a quantitative methodology for the analysis and assessment of risks associated with ...
Citation Formats
A. Taghizadeh Vahed, “Fan and pitch angle selection for efficient mine ventilation using analytical hierachy process and neuro fuzzy approach,” M.S. - Master of Science, Middle East Technical University, 2012.