Ranking and Evaluating the Coal Seam Mechanization Based on Geological Conditions Case study: The Eastern Alborz coal basin and Tabas coal mine

Document Type : Original Article

Authors

1 Faculty of Mining and Metallurgical Engineering, Urmia University of Technology, Band road, Urmia, West Azerbaijan, Iran

2 Faculty of Mining and Metallurgical Engineering, Yazd University, Yazd, Iran

Abstract

Nowadays, very important issues are considered by geological and mining engineers in extraction process of minerals. The important goals are: productivity and high production rates, improve working conditions and lower operating costs. The most suitable option to achieve these goals is to replace the traditional extraction methods with full-mechanized methods. The mechanization of the extraction operations is time consuming process and it requires high investment costs. So, cause special sensitivity in all design and implementation phases. Therefore, it is important to design, investigate and identify the capability of mechanization of coal layers in the first stage.
For this purpose, the engineering capabilities of the coal layers of different mines should be analyzed that is important and necessary to achieve the above goals. Therefore, criteria affecting the mechanization of coal layers were identified. Then, 17 Stopes were studied that located in the Eastern Alborz Basin and Tabas mine. The combined used method to evaluate mechanization capability is combination method of Fuzzy set theory and FDAHP. The results of the fuzzy classification system presented in current study show that the T layer of Tabas has a good quality, the K11 layer of the Takht mine is located in the middle class and other layers have not qualify for mechanization properly. In the following, the results of this study were validated with current mining conditions. The results of the study showed that the multifactorial fuzzy classification system can reliably use to classify the mechanization of coal layers based on geological conditions.

Keywords


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