梅山鐵礦磨礦—分級工藝過程優(yōu)化試驗研究
本文選題:鐵礦 + 磨礦過程; 參考:《江西理工大學(xué)》2015年碩士論文
【摘要】:鐵礦石是國民經(jīng)濟發(fā)展的重要支撐性礦產(chǎn)資源,能否經(jīng)濟高效利用,關(guān)系到我國產(chǎn)業(yè)安全以及鋼鐵產(chǎn)業(yè)的健康發(fā)展。經(jīng)過長年不斷地采選,好選易選的鐵礦石逐漸被消耗殆盡,鐵礦石性質(zhì)向著“貧、細(xì)、雜”發(fā)展,鐵礦的綜合利用越來越難。梅山鐵礦礦石結(jié)構(gòu)構(gòu)造復(fù)雜,礦物嵌布粒度分布不均勻,選廠磨礦工藝參數(shù)、介質(zhì)制度不合理,導(dǎo)致了磨礦產(chǎn)品粒度分布不均勻、過粉碎嚴(yán)重,磨礦成本較高,資源利用率較低。對梅山鐵礦4系列磨礦-分級回路進(jìn)行流程考查發(fā)現(xiàn):一段分級機分級效率較低,介質(zhì)制度不合理,二段溢流產(chǎn)品中過粉碎粒級含量高達(dá)15.39%,其金屬鐵品位達(dá)30.26%,金屬損失率高達(dá)10.36%,過磨十分嚴(yán)重。為了提高梅山鐵礦磨礦-分級的工作效率,改善磨礦產(chǎn)品質(zhì)量,實現(xiàn)節(jié)能降耗,本論文對磨礦-分級工藝進(jìn)行了優(yōu)化試驗研究,首先研究了磨礦過程各因素的影響關(guān)系,找出較優(yōu)操作參數(shù);然后進(jìn)行鐵礦石的力學(xué)性質(zhì)研究,提供計算參數(shù);根據(jù)球徑半理論公式、破碎統(tǒng)計力學(xué)以及鋼球磨損原理等理論推導(dǎo)最佳磨礦制度,再通過試驗確定最佳磨礦制度,最后進(jìn)行了現(xiàn)場磨礦優(yōu)化工業(yè)試驗。經(jīng)過以上研究得出以下結(jié)果:(1)磨礦過程因素以及正交試驗研究表明:磨礦過程主要影響因素是磨礦時間,其次為磨礦濃度。一段粗磨磨礦時間為3min時,磨礦濃度為:70%~85%,鋼球充填率為35~45%,可達(dá)到㧟0.076mm產(chǎn)率38~42%,㧟0.01mm過粉碎產(chǎn)率8~10%;二段細(xì)磨磨礦時間為3~4min,磨礦濃度為70~80%,鋼球充填率為35~42%時磨礦效果較好。(2)經(jīng)過對樣品的規(guī)格和不規(guī)則礦塊力學(xué)測試試驗得出,規(guī)則礦塊的普氏硬度系數(shù)f值(為16)比不規(guī)則的f(≤5)高好幾倍。根據(jù)球徑半理論公式、破碎統(tǒng)計力學(xué)以及鋼球磨損原理等,得出最佳裝補球制度為:一段磨初裝球為Φ100:Φ80:Φ60=30%:30%:40%,補加球為Φ100:Φ80=60%:40%;二段磨初裝球為Φ60:Φ40=20%:80%,補加球為Φ60=100%。(3)工業(yè)應(yīng)用結(jié)果表明:磨礦條件優(yōu)化后,磨礦產(chǎn)品粒度分布更加合理,分級效率有所提高。二段分級溢流產(chǎn)品過粉碎減輕21.7%,易選粒級增加6.91%,其中γ0.076~0.038mm提高了26.78%;總分級效率提高了27.98%;磁選尾礦中-0.01mm產(chǎn)率降低了21.16%;同時磨機功耗、鋼球單耗有所降低,襯板壽命延長,折合磨礦成本降低1.7元/t。綜上所述,磨礦-分級工藝過程優(yōu)化取得了良好的效果,創(chuàng)造了一定的經(jīng)濟效益,其方法可推廣至類似磨礦系統(tǒng)或其他金屬礦、非金屬礦磨礦系統(tǒng)。
[Abstract]:Iron ore is an important mineral resource for the development of the national economy. Whether the economic and efficient utilization is related to the safety of China's industry and the healthy development of the iron and steel industry. After continuous selection for a long period of time, the iron ore is gradually depleted and the properties of iron ore are developing towards "poor, fine and miscellaneous", and the comprehensive utilization of iron ore is becoming more and more difficult. The structure and structure of the ore of Meishan iron ore is complex, the distribution of grain size is not uniform, the grinding process parameters of the mill and the medium system are unreasonable, which leads to the uneven distribution of grain size, the serious grinding, the high grinding cost and the low utilization of resources. The process of the 4 series grinding and grading loop of Meishan iron ore is found out: a section of classification The classification efficiency of the machine is low and the medium system is not reasonable. The overgrinding grain level in the two section of the spillage products is 15.39%, the metal iron grade is 30.26%, the metal loss rate is up to 10.36%, and the overgrinding is very serious. In order to improve the working efficiency of the grinding and grading of Meishan iron ore, the quality of the grinding mineral is improved and the energy saving is reduced. The optimization test is carried out. First, the influence relation of all factors in the grinding process is studied, and the optimum operating parameters are found. Then the mechanical properties of iron ore are studied and the calculation parameters are provided. According to the ball diameter semi theoretical formula, the theory of crushing statistical mechanics and the principle of steel ball wear, the best grinding system is deduced. After the study above, the following results are obtained: (1) the factors of grinding process and orthogonal test show that the main influencing factors of the grinding process are grinding time and then grinding concentration. When a period of coarse grinding is 3min, the grinding concentration is 70%~85% and the filling rate of steel ball is 35~ 45%, the yield of 0.076mm is 38~42%, and the yield of 0.01mm is 8~10%; the time of the fine grinding is 3~4min, the grinding concentration is 70~80%, the filling rate of the steel ball is 35~42% is better. (2) the hardness coefficient f (16) of the regular ore block is compared to the irregular f (less than 5) (< 5). ) a few times higher. According to the semi theoretical formula of ball diameter, crushing statistical mechanics and the principle of steel ball wear and so on, it is concluded that the best filling and filling system is: the primary ball is 100: (80:) 60=30%: 30%: 40%, the adding ball is 60=30% 100:, 80=60%: 40%; the two section ball primary ball is diameter of 40=20%: 80%, 80%, and the ball is diameter of 60=100%. (3). After the optimization, the particle size distribution of the grinding products is more reasonable and the classification efficiency is improved. The two stages of graded overflow products are reduced by 21.7%, and the grain grade is increased by 6.91%, of which the gamma 0.076~0.038mm is raised by 26.78%, the total classification efficiency is increased by 27.98%, the -0.01mm yield in the magnetic separation tailings is reduced by 21.16%, and the mill power consumption and the single consumption of the steel ball are reduced. Liner, life extension, equivalent grinding cost reduced by 1.7 yuan /t. in grinding classification process optimization has achieved good results, create a certain economic benefits, the method can be extended to similar grinding system or other metals, nonmetal ore grinding system.
【學(xué)位授予單位】:江西理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TD921.4;TD951
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