Use of online electrical conductivity meter to monitor cold decomposition of carnallite

WANG Xiao-bo, HOU Yuan-sheng, LI Hui-lin

(National Engineering Research Center for Integrated Utilization of Salt Lake Resource,Qinghai Salt Lake Industry Co., Ltd., Golmud 816000, China)

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Use of online electrical conductivity meter to monitor cold decomposition of carnallite

WANG Xiao-bo, HOU Yuan-sheng, LI Hui-lin

(NationalEngineeringResearchCenterforIntegratedUtilizationofSaltLakeResource,QinghaiSaltLakeIndustryCo.,Ltd.,Golmud816000,China)

Online control of the ratio of carnallite to water is a key to achieve a fully continuous and automatic potash production. By monitoring carnallite cold decomposition process using online conductivity meter, the relationship between the conductivity and the control parameters was analyzed based on the data collected online. The results show that the conductivity regularly varies with a general trend of decrease after an initial increase when the ratio of mineral to water is adjusted. There are certain rules satisfying cubic polynomial regression equation. When the ratio of mineral to water is larger than 0.6, with the amount of carnallite increased by 10%, the conductivity decreases by 0.28%-0.45% accordingly and the relative deviation is less than 0.5%. The value of electrical conductivity has stabilized when the density of liquid increased to 1.27 g/cm3, namely, the solution reaches saturation. It has proved that the methods can be employed for online monitoring the ratio of carnallite to water during carnallite cold decomposition and the precise control has an important value for reference and application.

electrical conductivity meter; carnallite; cold decomposition

0 Introduction

Carnallite, mainly containing NaCl, MgCl2and KCl, is a double salt[1]that can decompose with water to produce KCl[2-3]under certain conditions. In decomposition process, the ratio of mineral to water must be controlled strictly according to a specific mechanism to make the process continuous and steady. In production, affected by temperature and other factors decomposition is difficult to keep desiring state, which means that mass of carnallite or water in the system needs to be adjusted constantly.

Currently, the main method of monitoring carnallite decomposition is to measure the density of the carnallite pulp manually[4]. The detailed steps are as follows: taking a sample intermittently, measuring its density or baume degrees and then adjusting the process parameters (mainly refers to the ratio of mineral to water), according to the obtained data. This poses a major obstacle to achieve automatic control of the KCl production, which has plagued the industry for many years.

Using an online electrical conductivity meter to monitor decomposition of carnallite and grasp the relationship between electrical conductivity and the ratio of carnallite to water provides possibilities for automatic control in industrial production.

Quaternary water-salt system is formed when carnallite decomposed with water[5-6]. So far, few studies on the electrical conductivity of this system have been reported. It is difficult to calculate the electrical conductivity of the liquid phase under the different ratio of mineral to water because of complex interaction among the ions. In this paper, online electrical conductivity meter InPro 7 250 was used to monitor decomposition of carnallite. The relationship between conductivity and the ratio of mineral to water was determined under the actual production conditions. The results provide basic data for industrial automatic control.

1 Methods

1.1 Calibration of on-line electrical conductivity meter

Standard solutions (1 mol/L，0.1 mol/L) of potassium chloride were prepared for calibration of electrical conductivity meter. Potassium chloride standard reagent with KCl (≥99.5%) was dried at 220 ℃ for 2 h. After that, 74.265 g and 7.436 g reagents were placed in different containers and 1 000 mL distilled water with electrical conductivity less than 0.2 μS/cm was used to dissolve the reagents respectively. Electrical conductivity of two solutions was afterwards measured at 25 ℃ and the electrical conductivity was compared to the standard value (GBW13120).

Experiments were conducted on a small test device as shown in Fig.1. Carnallite was decomposed with water in a tank with stirrer. Electrical conductivity was measured and recorded when the system has been in a stable state.

Fig.1 Schematic diagram of experimental device

1.3 Experimental conditions

Composition of carnallite is shown in Table 1.

Table 1 Composition for carnallite raw mineral

The following procedures were set up for experiments. 100 g carnallite and 1 000 g water were mixed in a tank and stirred at 15 ℃ and 25 ℃ respectively for 2 h. Electrical conductivity was measured after the system has stabilized.

The fluctuations of electrical conductivity at different temperatures were observed and recorded. Afterwards，100 g carnallite was added to the tank each time and the electrical conduction was measured respectively. With increasing of solid content in the system, solid and liquid were separated to avoid abnormal fluctuation of electrical conductivity. After that, adding 50 g carnallite to filtrate with stirring for 2 h each time until electrical conductivity no longer changed with the addition of solid. In addition, the variation tendency of electrical conductivity with decomposition time and stirring speed was measured by mixing 2 000 g carnallite with 1 000 g water at 25 ℃.

2 Results and discussion

Calibration results of the online electrical conductivity meter are given in Table 2. It can be seen that measured values of electrical conductivity consistent with the standard value, suggesting the electrical conductivity meter can be used as a measuring instrument due to its accuracy and reliability.

Table 2 Calibration results of on-line conductivity meter at 25 ℃

IDConcentration(mol/L)Electricalconductivity(ms/cm)MeasuredvaluesStandardvalues(GBW13120)11.0111.2-111.3111.3120.112.85-12.8712.852

The variation of electrical conductivities with the ratios of mineral to water at different temperatures (15 ℃ and 25 ℃) is listed in Table 3. In order to compare the variation tendencies of electrical conductivities visually at different temperatures, Fig.2 is plotted by setting mass ratio of mineral to water asx-axis and electrical conductivity asy-axis. As shown in Fig.2, the electrical conductivities at two temperatures are similar, indicating that temperature has little effect on electrical conductivity.

Table 3 Relationship between conductivity and the ratio of mineral to water

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MassratioofmineraltowaterElectricalconductivity(ms/cm)25℃15℃0.189.386.90.2146.3143.80.3181.7182.10.4203.4204.80.5214.3214.00.6213.6214.90.7209.9212.30.8197.5200.00.9185.7185.71.0176.5175.61.1169.4165.71.2161.4158.81.3152.2149.31.4146.5143.31.5140.8137.71.6135.2132.51.7129.7127.71.8124.5122.5

Fig.2 Electrical conductivity change tendencies at different temperatures

With the increasing of the ratio of mineral to water, solid content of the system increases, resulting in abnormal swing of electrical conductivity. Consequently, electrical conductivity is measured after solid and liquid is separated. It can be seen from Table 4 that electrical conductivity gradually decreases with increasing in density and the mass ratio of mineral to water. The value has been stabilized when the density increases to about 1.27 g/cm3and mass ratio reaches about 2.2 and the liquid composition no longer changes, indicating that the solution reaches saturation, which provides useful information to guide industrial production. Regression of experimental data is shown in Fig.3, with the multiple correlation coefficientR2=0.996 2.

Table 4 Relationship between conductivity and the ratio of mineral to water at 15 ℃

MassratioofmineraltowaterDensity(g/cm3)Electricalconductivity(ms/cm)Relativedeviation(%)1.801.2576154.5-155.10.391.851.2589148.0-148.50.341.901.2601144.8-145.20.281.951.2615140.3-140.90.432.001.2627138.5-139.10.432.051.2638136.6-137.00.292.101.2652136.0-136.60.442.151.2674135.2-135.70.372.201.2696134.6-135.20.452.251.2707133.8-134.30.372.301.2713133.8-134.30.372.351.2717133.7-134.30.452.401.2716133.6-134.10.37

Fig.3 Regression of experimental data

The tendencies of electrical conductivity variation with decomposition time and stirring speed are showed in Table 5 and Table 6, respectively. It can be seen from Table 5that variations are large in the first 90 min. However, in the next a few hours, the values have remained stable and the maximum relative deviation is less than 0.5%, suggesting the time for system reaching equilibrium can be considered as 90 min. Conclusion can be derived from Table 6 that stirring speed has a slight impact on electrical conductivity. Therefore, in industrial applications, the stirring speed needs to be controlled to make electrical conductivity stabilized.

Table 5 Relationship between electrical conductivity and decomposition time

Time(min)Conductivity(ms/cm)Time(min)Conductivity(ms/cm)15149.3-150.3135146.5-147.130149.8-150.2150146.4-146.845148.0-149.2165146.7-147.160146.8-147.5180146.8-146.975147.0-147.5195146.9-147.390147.5-147.9210146.8-147.1105147.5-147.8225146.8-146.9120147.0-147.5240146.5-146.8

Table 6 Relationship between electrical conductivity and stirring speed

Stirringspeed(r/min)Conductivity(ms/cm)300118.41200115.32100112.33000108.8

3 Conclusion

Electrical conductivity meter InPro 7 250 is utilized to monitor decomposition of carnallite for its accuracy and reliability. Certain rules satisfying cubic polynomial regression equation that exist between electrical conductivity and the mass ratio of mineral to water under experimental conditions. The conductivity regularly changes following a general trend of decrease after an initial increase when the ratio of mineral to water is adjusted. When the ratio of mineral to water is larger than 0.6, with the amount of carnallite increased by 10%, the conductivity is decreases by 0.28%-0.45% accordingly and the relative deviation of the measured value is less than 0.5%, which provides useful information to guide industrial production. In addition, temperature and stirring speed have little effect on electrical conductivity and stirring speed needs to be controlled to make electrical conductivity stabilized in industrial applications.

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[2] CHENG Fang-qin, ZHANG Hong-man, YAN Xia, et al. Study on effect of the quantity of decomposition liquid on KCl recovery in process of carnallite cold-decomposition. Inorganic Chemicals Industry, 2008, 45(8): 19-22.

[3] ZHOU Ling, SHA Zuo-liang, TANG Na. Crystallization process investigation of potassium chloride from carnallite decomposition. Chemical Engineers Transactions, 2011, 24: 697-702.

[4] YU Qiu-ping, HOU Yuan-shen, ZHOU Qiang, et al. An online system used to monitor carnallite decomposition process: CN patent, 201320634469. 2014-02-05. http://industry.wanfangdata.com.cn/yj/Detail/Patent?id=Patent_CN201310478795.2.

[5] WANG Xu-ming, Miller J D, CHENG Fang-qin, et al. Potash flotation practice for carnallite resources in the Qinghai Province. Minerals Engineering, 2014, (66/67/68): 33-39.

[6] Hart A C, Huff J C, Walker K L. Recover of common salt and marine chemicals from brine: U.S. patent, 6776972. 2001-10-29.

應用在線電導率儀監(jiān)測光鹵石冷分解過程

王曉波， 侯元昇， 李輝林

(國家鹽湖資源綜合利用工程技術研究中心， 青海鹽湖工業(yè)股份有限公司， 青海 格爾木 816000)

光鹵石冷分解過程中礦水量比例在線控制是實現(xiàn)鉀肥連續(xù)化、自動化生產(chǎn)的關鍵。利用在線電導率儀監(jiān)測了光鹵石加水分解的過程， 根據(jù)獲得的在線監(jiān)測電導率數(shù)據(jù)， 分析了光鹵石冷分解過程中電導率的變化和工藝控制參數(shù)間的關系。結(jié)果表明， 體系的電導率值隨著礦水比的調(diào)整有規(guī)律地變化， 呈現(xiàn)出先增后減的總體變化趨勢， 且測量值相對偏差小于0.5%。當?shù)V水比大于0.6時， 光鹵石質(zhì)量每增加10%， 電導率相應降低0.28%～0.45%， 兩者間滿足3次多項式回歸方程； 當液相密度增大到約1.27 g/cm3時， 體系達到飽和， 電導率值保持恒定不變。實踐證明， 本文所述方法可應用于光鹵石冷分解過程礦水量的在線監(jiān)測， 對鉀肥生產(chǎn)中光鹵石冷分解工藝的精確控制具有重要的參考和應用價值。

電導率儀； 光鹵石； 冷分解

WANG Xiao-bo, HOU Yuan-sheng, LI Hui-lin . Use of online electrical conductivity meter to monitor cold decomposition of carnallite. Journal of Measurement Science and Instrumentation, 2015, 6(2)： 185-189.

10.3969/j.issn.1674-8042.2015.02.013

WANG Xiao-bo (wxb0626@126.com)

1674-8042(2015)02-0185-05 doi： 10.3969/j.issn.1674-8042.2015.02.013

Received date： 2015-01-19

CLD number： TQ131 Document code： A