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        Rapidly determining fuel pollution level of aviation lubricating oil 50-1-4Φ by mid-infrared spectrometry

        2015-03-04 06:18:56ZONGYingJIANGXufengYUECongweiSUNJing
        關(guān)鍵詞:光譜法噴氣潤滑油

        ZONG Ying, JIANG Xu-feng, YUE Cong-wei, SUN Jing

        (Department of Material and Oil, Air Force Logistics College, Xuzhou 221000, China)

        ?

        Rapidly determining fuel pollution level of aviation lubricating oil 50-1-4Φ by mid-infrared spectrometry

        ZONG Ying, JIANG Xu-feng, YUE Cong-wei, SUN Jing

        (DepartmentofMaterialandOil,AirForceLogisticsCollege,Xuzhou221000,China)

        A series of aviation lubrication oil 50-1-4Φ samples were prepared with different RP-3 content, and then these samples were analyzed by Fourier transform mid-infrared spectrometer (FTIR). The infrared region of 805-755 cm-1was selected as quantitative area for determining fuel pollution level of aviation lubrication oil. Finally, correlation of the testing peak area and the fuel pollution level of corresponding samples were analyzed, and the regression equation was proposed. The results show that determining jet fuel pollution level of aviation lubricating oil by FTIR is feasible and reliable.

        mid-infrared spectrum; aviation lubricating oil; fuel pollution level

        Fuel oil may seep into the oil tank in the operation of aviation turbine engine due to various reasons, which will pose some serious safety hazards, e.g. the viscosity and flash point of aviation lubricating oil will decrease or the wear of machine element will increase or even to arouse explosion fire, etc.[1]. In recent years, great research achievements have been obtained in testing physical and chemical properties of oils and monitoring the used oil status by Fourier transform mid-infrared spectrometer (FTIR)[2-8]. However, there is no special method for determining the content of lightweight oil in the lubricating oil domestically and there are fewer reports on testing the pollution level of lubricating oil by using this method.

        In this paper, 25 lubricating oil samples with different contents of RP-3 were analyzed by FTIR to provide more experimental data for rapidly determining fuel content in lubricating oil.

        1 Experiment

        1.1 Instruments

        The main instruments used in this experiment include WQF310 FTIR produced by Beijing Ruili Inst-

        rument Analysis Co., Ltd; HF-8 fixed liquid pool, with KBr windows with the optical distance of 0.1 mm, produced by Tianjin Tianguang Optical Instruments Co., Ltd.

        1.2 Preparation of samples

        The polluted lubricating oil samples were prepared with different proportion of RP-3 to 50-1-4Φ new oil. Micro-adjustable pipette was used to transfer different amount of RP-3 into 50-1-4Φ new oil. The volume ratios of RP-3 and 50-1-4Φ new oil in the prepared samples are shown in Table 1.

        Table 1 Preparation table of aviation lubricating oil fuel pollution samples

        No.VRP-3/V50-1-4ФNo.VRP-3/V50-1-4ФNo.VRP-3/V50-1-4Ф10.010100.412190.71420.020110.444200.76930.048120.474210.83340.091130.500220.90950.167140.526230.95260.231150.556240.98070.286160.588250.99080.333170.62590.375180.667

        1.3 Experimental procedure

        The above samples were analyzed by FTIR with the resolution ratio of 4.0 cm-1, scanning 32 times in total for every sample.

        The correlation and regression of the data in Table 1 and infrared spectra of corresponding samples were analyzed, and then the regression equation was proposed.

        2 Results and discussion

        2.1 FTIR analysis

        Referring to American Society for Testing and Materials (ASTM) standard Table A1.1, E2412-10, the testing peak area in the infrared spectrum ranging from 804.171 cm-1to 755.959 cm-1was used to calculate the fuel pollution level, i.e. volume ratio of RP-3 and 50-1-4Φ new oil. The FTIR spectra of the samples (No.1, 8, 16 and 24) are shown in Fig.1.

        Fig.1 Infrared spectra of the samples No.1,8,16 and 24

        The testing peak areas of all samples are shown in Table 2.

        Table 2 Infrared spectrum peak areas of aviation lubricating oil fuel pollution samples

        No.AreaNo.AreaNo.Area10.964100.523190.18320.926110.428200.22230.989120.344210.05140.878130.414220.03550.780140.336230.10960.619150.343240.02270.677160.294250.10480.567170.32490.582180.288

        2.2 Correlation analysis of fuel pollution level and testing peak areas of all samples

        Correlation coefficient between pollution level of all samples and their testing peak areas of the corresponding FTIR spectrum is 0.976 8, indicating significant correlation of fuel pollution level and the testing peak areas of all samples.

        2.3 Regression analysis of fuel pollution level and testing peak areas of all samples

        Polynomial regression curve for fuel pollution level of all samples and their testing peak areas in FTIR spectra is shown in Fig.2.

        Fig.2 Polynomial regression curve of prepared samples

        The curve equation is shown in Eq.(1). After calculating, fitting degree is 0.975 4, indicating that accuracy is 97.54% for the calculated fuel pollution level compared with the true value of samples.

        Y=-6.771 8X6+39.637X5-74.175X4+

        (1)

        3 Conclusion

        In this paper, 25 polluted 50-1-4Φ lubricating oil samples with different content of RP-3 were prepared. All samples were analyzed by FTIR technology. Referring to ASTM: E2412-10, the infrared region of 805-755 cm-1was selected as quantitative area for determining fuel pollution level of aviation lubrication oil. The correlation of the fuel pollution level and the testing peak area of corresponding samples was analyzed. The results show that they are highly correlated. Based on this, the regression analysis was made and regression equation was obtained. The fitting effect is good, showing that determining jet fuel pollution level of aviation lubricating oil by FTIR is feasible and reliable.

        [1] ZONG Ying, JIANG Xu-feng, SUN Jing, et al. Rapidly determining kinematic viscosity of aviation lubricating oil 50-1-4Φ by mid-infrared spectrometry. Journal of Measurement Science and Instrumentation, 2014, 5(3): 79-82.

        [2] LI Yong. The determination of kerosene oil content in lubricating oil. The Experimental Science and Technology, 2009, 7(3): 49-50.

        [3] WEI Huan, ZHONG Shao-fang, HU Jiang-yong, et al. Fast determination of benzene in gasoline by mid-Infrared spectrometry. Chinese Journal of Spectroscopy Laboratory, 2008, 25(4): 621-624.

        [4] WEI Huan, CHEN Yan, HU Jiang-yong, et al. Determination of aromatic and olefin in motor gasoline by mid-infrared spectroscopy. Chinese Journal of Spectroscopy Laboratory, 2011, 28(3): 1306-1310.

        [5] WANG Yong, CHEN Hai, LIU Wen. Determination of diene value in cracking gasoline by infrared spectrophotometry. Modern Scientific Instruments, 2007, (6): 105-107.

        [6] WANG Li-jun, CHENG Zhong-qian, QI Bang-feng. The determination of oxygenates in clean gasoline by mid-infrared spectroscope. Contemporary Chemical Industry, 2005, 34(5): 359-361.

        [7] ZHAO Sheng-hong, HUANG Yi, LIU Duo-qiang. The application of mid-infrared spectroscopy in oil analysis. Petrochemical Industry Application, 2009, 28(7): 6-7.

        [8] JIANG Yuan-xing. Lubricating oil monitoring technology and its application to marine machine. Lubrication Engineering, 2005, (4): 193-195.

        中紅外光譜法測定航空潤滑油50-1-4Φ燃油污染水平

        宗 營, 姜旭峰, 岳聰偉, 孫 靜

        (空軍勤務(wù)學(xué)院 航空油料物資系, 江蘇 徐州 221000)

        本文對配制的不同3號噴氣燃料含量的50-1-4Ф潤滑油樣品作為航空潤滑油燃料污染水平測定的標(biāo)準(zhǔn)模擬油樣進行紅外光譜分析, 選擇紅外譜圖中805-755 cm-1區(qū)域作為測定滑油燃料污染水平的定量區(qū)域, 對此區(qū)域峰面積與相應(yīng)的樣品燃料污染水平的相關(guān)性進行分析并給出回歸方程。 結(jié)果表明, 利用傅立葉變換紅外光譜法測定航空潤滑油的噴氣燃料污染水平是可行的, 測定結(jié)果是可靠的。

        中紅外光譜; 航空潤滑油; 燃料污染水平

        ZONG Ying, JIANG Xu-feng, YUE Cong-wei, et al. Rapidly determining fuel pollution level of aviation lubricating oil 50-1-4Φ by mid-infrared spectrometry. Journal of Measurement Science and Instrumentation, 2015, 6(2): 190-192.

        10.3969/j.issn.1674-8042.2015.02.014

        JIANG Xu-feng (jiangziya@163.com)

        1674-8042(2015)02-0190-03 doi: 10.3969/j.issn.1674-8042.2015.02.014

        Received date: 2015-03-08

        CLD number: TP274+.5 Document code: A

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