نتایج جستجو برای: mine ventilation network

تعداد نتایج: 740591  

2011
Haiyan Wang ZhenLong Zhang DanDan Jiang FeiYin Wang

A fire developing tendency mathematical model of mine fire zone under positive pressure ventilation was established and was validated based on the particularly serious fire accident of Fuhua “9.20” in Heilongjiang province. Then the law of positive pressure ventilation influence on the fire zone developing tendency and its enlightenment to work safety were obtained. Under positive pressure vent...

Journal: :IOP Conference Series: Earth and Environmental Science 2019

Journal: :Journal of Archaeological Science: Reports 2021

Excavations at the Giro mine located in commune of Sainte-Marie-aux-Mines (France) have revealed a metallic and cylindrical artifact that resembles connecting element for wooden duct sections. Early modern literature, especially De Re Metallica, mention such technologies intended particular to force ventilation underground mines which air quality was harmful miners. The found gallery leading st...

Journal: :IOP Conference Series: Materials Science and Engineering 2021

Journal: :Eurasian mining 2021

The paper presents the results of data analysis conducted at Bereznyaki Mine-2 Uralkali in summer and winter (during air pre-treatment period). findings show that when mine heaters are operating thermal drop ventilation pressure appears supply shafts. It causes “airlocks” shafts – a phenomenon nearly stops airflow one while increasing dramatically other (others) intake As resu...

2008
C. Özgen Karacan

Methane emissions from a longwall ventilation system are an important indicator of how much methane a particular mine is producing and how much air should be provided to keep the methane levels under statutory limits. Knowing the amount of ventilation methane emission is also important for environmental considerations and for identifying opportunities to capture and utilize the methane for ener...

2008
C.Ö. Karacan

In longwall mining, premining prediction of methane emission rate depends on a number of geological factors, geographical factors, and operational factors. These same factors also can impact the selection of a specific degasification system. This study proposes a principle component analysis (PCA) and artificial neural network (ANN) approach to predict the ventilation methane emission rates of ...

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