光谱学与光谱分析 |
|
|
|
|
|
Research on the Application of Mid-Infrared Based Quantification of Water in Oil Used by Marine-Borne Machines |
YANG Kun, ZHOU Xin-cong, WANG Chao, LI Li-yao |
Reliability Engineering Institute, School of Energy and Power Engineering, Wuhan University of Techonology, Wuhan 430063, China |
|
|
Abstract A method that could be used to quantify the concentration of water in oil for marine-borne machine is discussed in the present paper. Water molecule has distinct absorption bands in mid-infrared section in 3 773~3 509 cm-1, so it could be applied to the quantification of water in oil. An experimental sample cell was designed to accomplish the experiment for the convenience of sample preparation and mount in measurement, and it was designed to suit for FTIR spectrometer. The authors chose to prepare the sample oil by blending different amount of water into oil through titration. The spectra of oil with different water concentration were acquired and their integrals were calculated. The analysis of experimental result shows that the functional relationship between the integral of spectrum in 3 773~3 509 cm-1 and the percentage of water content in oil is a quadratic curve. The relative error between the fitted curve and experimental data is at the level of 0.01%. The research work in this paper presents the possibility of quantification of water content in oil through mid-infrared and gives us an idea to design a kind of new sensor based on mid-infrared LED and PIN for measure and to warn people who monitor the abnormal variation of water content in different kind of oil used in marine-borne mechanical system.
|
Received: 2011-10-09
Accepted: 2012-01-12
|
|
Corresponding Authors:
YANG Kun
E-mail: kunyangwhut@163.com, kyang@whut.edu.cn
|
|
[1] Larry A T, Allison M T. Machinery Oil Analysis Methods, Automation & Benefits 3rd Edition. STLE, 2008. [2] ZHU Jian-ping(朱建平). China Shiprepair(中国修船), 2008, 21(1): 37. [3] CUI Guo-dong, QIAN Shi-hui, CHEN Yan-ming, et al(崔国栋, 钱士辉, 陈彦明, 等). Turbine Technology(汽轮机技术), 1998, 40(1): 44. [4] ZHANG Min-hui(张民慧). Science Technology & Application(科技应用), 2008, 37(1): 13. [5] TIAN Hong-xiang, LIU Yu, WANG Xin (田洪祥, 刘 瑜, 王 鑫). China Shiprepair(中国修船), 2009, 22(2): 35. [6] Clint P A, Walter G C, Lee D R, et al. Energy & Fuels, 2009, 23: 835. [7] Zhang Bing, Huan Sha, Zhao Qi, et al. Electrnic Measurement & Instruments, ICEMI’2009: 09, 9th Intenational Conference, 2. 602. [8] Reidar B S, Tore G, Morten H, et al. IEEE Transactions on Instrumentation and Measurement, 2004, 55(5): 1378. [9] LU Wan-zhen, YUAN Hong-fu, XU Guang-tong, et al(陆婉珍, 袁洪福, 徐广通, 等). Modern Analysis Technique of NIR(现代近红外光谱分析技术). Beijing: China Petrochemical Press(北京: 中国石化出版社), 2000. 73. [10] GAO Rong-qiang, FAN Shi-fu(高容强, 范世福). Analysis Instrument(分析仪器), 2002, (3): 9. [11] ASTM E 2412-04 Condition Monitoring of Used Lubricants by Trend Analysis Using Fourier Transform Infrared (FTIR) Spectrometry. |
[1] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
[2] |
LIU Jia1, 2, GUO Fei-fei2, YU Lei2, CUI Fei-peng2, ZHAO Ying2, HAN Bing2, SHEN Xue-jing1, 2, WANG Hai-zhou1, 2*. Quantitative Characterization of Components in Neodymium Iron Boron Permanent Magnets by Laser Induced Breakdown Spectroscopy (LIBS)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 141-147. |
[3] |
LIU Hao-dong1, 2, JIANG Xi-quan1, 2, NIU Hao1, 2, LIU Yu-bo1, LI Hui2, LIU Yuan2, Wei Zhang2, LI Lu-yan1, CHEN Ting1,ZHAO Yan-jie1*,NI Jia-sheng2*. Quantitative Analysis of Ethanol Based on Laser Raman Spectroscopy Normalization Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3820-3825. |
[4] |
DUAN Ming-xuan1, LI Shi-chun1, 2*, LIU Jia-hui1, WANG Yi1, XIN Wen-hui1, 2, HUA Deng-xin1, 2*, GAO Fei1, 2. Detection of Benzene Concentration by Mid-Infrared Differential
Absorption Lidar[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3351-3359. |
[5] |
LIN Hong-jian1, ZHAI Juan1*, LAI Wan-chang1, ZENG Chen-hao1, 2, ZHAO Zi-qi1, SHI Jie1, ZHOU Jin-ge1. Determination of Mn, Co, Ni in Ternary Cathode Materials With
Homologous Correction EDXRF Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3436-3444. |
[6] |
HUANG Li, MA Rui-jun*, CHEN Yu*, CAI Xiang, YAN Zhen-feng, TANG Hao, LI Yan-fen. Experimental Study on Rapid Detection of Various Organophosphorus Pesticides in Water by UV-Vis Spectroscopy and Parallel Factor Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3452-3460. |
[7] |
HUANG Meng-qiang1, KUANG Wen-jian2, 3*, LIU Xiang1, HE Liang4. Quantitative Analysis of Cotton/Polyester/Wool Blended Fiber Content by Near-Infrared Spectroscopy Based on 1D-CNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3565-3570. |
[8] |
LIU Bo-yang1, GAO An-ping1*, YANG Jian1, GAO Yong-liang1, BAI Peng1, Teri-gele1, MA Li-jun1, ZHAO San-jun1, LI Xue-jing1, ZHANG Hui-ping1, KANG Jun-wei1, LI Hui1, WANG Hui1, YANG Si2, LI Chen-xi2, LIU Rong2. Research on Non-Targeted Abnormal Milk Identification Method Based on Mid-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3009-3014. |
[9] |
LI Zhong-bing1, 2, JIANG Chuan-dong2, LIANG Hai-bo3, DUAN Hong-ming2, PANG Wei2. Rough and Fine Selection Strategy Binary Gray Wolf Optimization
Algorithm for Infrared Spectral Feature Selection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3067-3074. |
[10] |
LIU Shu1, JIN Yue1, 2, SU Piao1, 2, MIN Hong1, AN Ya-rui2, WU Xiao-hong1*. Determination of Calcium, Magnesium, Aluminium and Silicon Content in Iron Ore Using Laser-Induced Breakdown Spectroscopy Assisted by Variable Importance-Back Propagation Artificial Neural Networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3132-3142. |
[11] |
WANG Lin, WANG Xiang*, ZHOU Chao, WANG Xin-xin, MENG Qing-hui, CHEN Yan-long. Remote Sensing Quantitative Retrieval of Chlorophyll a and Trophic Level Index in Main Seagoing Rivers of Lianyungang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3314-3320. |
[12] |
KANG Ying1, ZHUO Kun1, LIAO Yu-kun1, MU Bing1, QIN Ping2, LI Qian1, LUAN Xiao-ning1*. Quantitative Determination of Alcohol Concentration in Liquor Based on Polarized Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2768-2774. |
[13] |
KONG De-ming1, LIU Ya-ru1, DU Ya-xin2, CUI Yao-yao2. Oil Film Thickness Detection Based on IRF-IVSO Wavelength Optimization Combined With LIF Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2811-2817. |
[14] |
ZHU Yu-chen1, 2, WANG Yan-cang3, 4, 5, LI Xiao-fang6, LIU Xing-yu3, GU Xiao-he4*, ZHAO Qi-chao3, 4, 5. Study on Quantitative Inversion of Leaf Water Content of Winter Wheat Based on Discrete Wavelet Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2902-2909. |
[15] |
ZHAO Yu-wen1, ZHANG Ze-shuai1, ZHU Xiao-ying1, WANG Hai-xia1, 2*, LI Zheng1, 2, LU Hong-wei3, XI Meng3. Application Strategies of Surface-Enhanced Raman Spectroscopy in Simultaneous Detection of Multiple Pathogens[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2012-2018. |
|
|
|
|