【摘 要】
：
Tri-flo cyclone,as a dense-medium separation device,is one of the most typical environmentally friendly industrial techniques in the coal washery plants.Surprisingly,no detailed investigation has been conducted to explore the effectiveness of tri-flo cycl
【机 构】
：
Tabas Parvardeh Coal Company (TPCCO),Birjand,Iran;Department of Electrical and Computer Engineering,
论文部分内容阅读
Tri-flo cyclone,as a dense-medium separation device,is one of the most typical environmentally friendly industrial techniques in the coal washery plants.Surprisingly,no detailed investigation has been conducted to explore the effectiveness of tri-flo cyclone operating parameters on their representative metallurgical responses (yield and recovery).To fill this gap,this work for the first time in the coal processing sector is going to introduce a type of advanced intelligent method (boosted-neural network “BNN”) which is able to linearly and nonlinearly assess multivariable correlations among all variables,rank them based on their effectiveness and model their produced responses.These assessments and modeling were considered a new concept called “Conscious Laboratory (CL)”.CL can markedly decrease the number of laboratory experiments,reduce cost,save time,remove scaling up risks,expand maintaining processes,and significantly improve our knowledge about the modeled system.In this study,a robust monitoring database from the Tabas coal plant was prepared to cover various conditions for building a CL for coal tri-flo separators.Well-known machine leaming methods,random forest,and support vector regression were developed to validate BNN outcomes.The comparisons indicated the accuracy and strength of BNN over the examined traditional modeling methods.In a sentence,generating a novel BNN within the CL concept can apply in various energy and coal processing areas,fill gaps in our knowledge about possible interactions,and open a new window for plants\' fully automotive process.
其他文献
Onsite mine fire generates large volumes of heat-affected coal in Jharia coalfields,India.Direct utilization of such heat-affected coal in thermal utilities is not feasible as such coal does not have the desirable volatile matter required for combustion.I
To assess the deformation of a coal bunker and propose effective preventative measures for such,a real-time monitoring system was designed.Moreover,methods were proposed for monitoring the coal-bunker inclination,settle-ment,groundwater level,temperature,
The thermal effect caused by deep magma intrusion can not only accelerate the metamorphism of coal body,but also bring additional thermal field that changes the mechanical environment of coal seams,thereby affecting the per-meability of coal seams.Differe
To accurately predict coal burst hazards and estimate the failure of coal pillars in underground coal mining systems,it is of great significance to understand the mechanical behavior of coal-rock bimaterial composite structures.This paper presents experim
It is difficult to accurately calculate the lump coal rate in a fully mechanized mining face.Therefore,a numerical simulation of the coal wall cutting process,which revealed the crack expansion,development,evolution in the coal body and the corresponding
Membrane distillation (MD) is a promising membrane separation technique used to treat industrial wastewater.When coupled with cheap heat sources,MD has significant economic advantages.Therefore,MD can be combined with solar energy to realize the large-sca
At present,non-pillar entry protection in longwall mining is mainly achieved through either the gob-side entry retaining (GER) procedure or the gob-side entry driving (GED) procedure.The GER procedure leads to difficulties in maintaining the roadway in mi
Melina wood torrefied at 260 ℃ for 60 min was agglomerated with lean grade coal fines into composite briquettes using pitch as binder.Torrefied biomass (3％-20％) and coal fines (80％-97％) were blended together to produce the composite briquettes under a hyd
Four coal samples from Jharia basin,India are treated with nitric acid in glacial acetic acid and aqueous media to find out the chemical,petrographic and spatial structure of the organic mass by X-ray diffraction (XRD) and Fourier Transform Infrared Spect
Aiming at the poor location accuracy caused by the harsh and complex underground environment,long strip roadway,limited wireless transmission and sparse anchor nodes,an underground location algorithm based on random forest and compensation for environment