(1. 江西理工大學(xué) 土木與測繪工程學(xué)院，贛州 341000；
2. 南昌航空大學(xué) 土木建筑學(xué)院，南昌 330000；
3. 龍巖稀土開發(fā)有限公司，龍巖 364000)
摘 要: 采用數(shù)學(xué)統(tǒng)計方法分析了生產(chǎn)數(shù)據(jù)，研究不同參照依據(jù)和浸出率之間的關(guān)系：以福建某高雜質(zhì)礦塊為實驗對象，進(jìn)行不同浸礦劑用量工業(yè)實驗；通過使用浸礦劑用量計算模型如化學(xué)平衡模型、修正DED模型和經(jīng)驗?zāi)Ｐ停u價不同參照依據(jù)和浸出率之間的相關(guān)性。結(jié)果發(fā)現(xiàn)：從經(jīng)驗?zāi)Ｐ涂矗栯x子交換總量單耗 (0.99)＞礦土體積單耗 (0.96)＞稀土質(zhì)量單耗 (0.94)；從理論模型看，修正DED模型中， (0.91)＞ (0.90)＞ (0.86)。由此可認(rèn)為，陽離子交換總量和浸出率之間相關(guān)性最好。在此基礎(chǔ)上，分析三個參照依據(jù)產(chǎn)生的浸礦劑用量誤差原因，發(fā)現(xiàn)在高雜質(zhì)環(huán)境下，以陽離子交換總量作為參照依據(jù)產(chǎn)生的相對誤差最小。因此，綜合相關(guān)性評價結(jié)果及理論分析，建議選擇陽離子交換總量作為高雜質(zhì)離子型稀土礦的浸礦劑用量參照依據(jù)。
關(guān)鍵字: 離子吸附型稀土；數(shù)學(xué)統(tǒng)計；浸礦劑用量計算模型；稀土含量；礦土體積；陽離子交換總量
（1. School of Civil and Surveying and Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;
2. School of Civil Engineering and Architecture, Nanchang Hangkong University, Nanchang 330000, China;
3. Longyan Rare Earth Development Co., Ltd., Longyan 364000, China）
Abstract:The amount of leaching agent for ionic rare earth ore is an important factor affecting the leaching rate, its reference basis determines the difference of estimated results. In the leaching process, the consumption of ammonium ions is related to the mass of rare earth, the volume of ore and the total amount of cation exchange, so these three factors can be used as a reference for the dosage of leaching agent. At present, the selection of reference basis in the industry relies more on traditional experience and lacks of evaluation of reference. In view of this problem, this paper adopts mathematical statistical method to the original leaching data, and studies the relationship between different reference basis and leaching rate: taking a ore block in Fujian Province, China as the experimental object, the experiment of injection with different dosages of leaching agent was carried out. Using the calculation model of leaching agent dosage, such as chemical equilibrium model, the modified DED model and experience model, the correlation between different reference basis and leaching rate were evaluated. The results show that, from the empirical model, (0.99)＞ (0.96)＞ (0.94), from the modified DED model, (0.919)＞ (0.90)＞ (0.86). Thus, it can be assumed that the correlation between the total cation exchange and leaching rate is the best. On this basis, the error causes of the amount of leaching agent produced by the three reference bases were analyzed. It is found that the relative error produced by the total cation exchange as reference basis is the smallest in the high impurity environment. Therefore, based on the correlation evaluation results and theoretical analysis, it is suggested to choose the total cation exchange as the reference basis for leaching agent dosage of high impurity ionic rare earth ore.
Key words: ion-absorbed rare earth; mathematical statistics; calculation model of leaching agent dosage; rare earth content; ore volume; cation exchange capacity
