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法拉第磁旋转光谱(Faraday rotation spectroscopy, FRS)技术因其高灵敏度, 零背景噪声, 以及能有效避免抗磁性物质干扰的特性广泛应用于各类顺磁性痕量气体的探测. 目前大部分FRS技术采用线圈构造电磁场, 存在能耗高、发热多等问题. 为此, 开展了基于组合环形永磁体的空间磁场分布建模仿真研究, 意在建立轴向分布的磁场, 为测量FRS提供基于永磁体的沿光轴方向的匀强磁场. 仿真采用有限元网格剖分的方法, 基于麦克斯韦方程组, 开展组合磁环的磁场分布仿真研究, 并通过实验测量实际钕铁硼永磁体磁环阵列的磁场分布, 证明了建立物理模型的可靠性. 在此基础上提出了对永磁体磁环阵列的3种优化方案—单理想值优化、多段式单理想值优化和梯度优化方案, 来构造中心轴线磁感应强度分布均匀的匀强磁场. 最后通过引入磁场均匀度, 计算评估并分析比较了不同优化方案的优化效果, 为研发基于永磁体的FRS光谱设备提供参考.Faraday rotation spectroscopy (FRS) is generally used to detect the concentrations of various paramagnetic trace gases because of its high detection sensitivity, zero background noise and the ability to get rid of the interference of diamagnetic materials effectively. In most of FRS technologies, the used electromagnetic fields are produced by coils, thereby triggering off some problems such as high energy consumption and excessive heat generation. Thus the modeling and the simulation study of spatial magnetic field distribution based on the combined ring permanent magnets are carried out to establish an axially distributed homogeneous magnetic field and provide a permanent magnet-based homogeneous magnetic field along the optical axis for FRS measurement. In this simulation, the method of finite element mesh division is adopted based on basic electromagnetic relationship in Maxwell equations. By the simulation study of the magnetic field distribution of the actual Nd-Fe-B permanent magnet magnetic ring array, the physical model proves to be reliable. Basically, three methods of optimizing the permanent magnetic ring arrays. i.e. single ideal value optimization method, the multi-part single objective optimization method, and the gradient optimization method, are proposed. The single ideal value optimization method and the multiple ideal value optimization method are used to realize the optimization of magnets. However, by analyzing the two methods, it is clear that compared with the single ideal value optimization method, the multiple ideal value optimization method in which the whole region is divided into several small parts can achieve good uniformity of permanent magnet array. In this way, the third method, i.e. the gradient optimization method is used to realize the construction of a homogeneous magnetic field with a uniform central axis magnetic flux density distribution used for FRS. Finally, the standard magnetic field uniformity for measuring the quality of magnet field is suggested, and through the calculation and evaluation of the magnetic field uniformity, the optimization effects of different optimization methods are analyzed and compared with each other. And the final results about realizing a homogeneous magnetic field provide a reference for developing the FRS equipment based on permanent magnets.
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Keywords:
- permanent magnetic rings /
- distribution of magnet /
- simulation and optimization /
- Faraday rotation spectroscopy
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Yan M, Peng X L 2006 Fundamentals of Magnetism and Magnetic Materials (Vol. 1) (Hangzhou: Zhejiang University Press) pp10–12 (in Chinese)
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图 3 永磁体磁环阵列仿真效果图 (a) 磁感应强度分布特征箭头图; (b) 磁感线分布特征流线图
Fig. 3. Modeling magnetic induction of array-ring permanent magnets: (a) Arrow distribution of magnetic induction intensity; (b) streamline diagram of magnetic induction.
图 4 五个磁环的实验与仿真结果 (a) 实验与仿真结果对比图; (b) 磁环体内部(z1 = 78.20 mm)和间隔(z2 = 61.64 mm)处的径向磁感应强度分布图
Fig. 4. Measurement and simulation results of five magnetic rings: (a) Comparison of experimental and simulation results; (b) radial magnetic induction intensity distribution inside the ring (z1 = 78.20 mm) of the group and gap (z2 = 61.64 mm).
图 6 有限元仿真区域网格剖分 (a) 变形区域的划分; (b) 间距优化网格剖分图
Fig. 6. Deformation and meshing division of finite element simulation: (a) Division of deformation zone; (b) gradient optimization mesh division diagram.
图 7 单目标值优化中心轴向磁感应强度分布
Fig. 7. Single value optimization of central axial magnetic induction.
图 9 多段式单理想值优化中心轴向磁感应强度分布
Fig. 9. Multi-part single objective optimization of central axial magnetic induction.
图 10 梯度优化中心轴向磁通密度分布
Fig. 10. Gradient optimization center axial magnetic flux density distribution.
表 1 单理想值优化结果
Table 1. Results of single-objective optimization.
${d_{{Z_1}}}/{\text{mm}}$ ${d_{{Z_2}}}/{\text{mm}}$ ${d_{{Z_3}}}/{\text{mm}}$ ${d_{{Z_4}}}/{\text{mm}}$ ${d_{{Z_5}}}/{\text{mm}}$ ${d_{{Z_6}}}/{\text{mm}}$ –1.80 –5.10 –4.87 –6.95 0.85 7.35 
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表 2 单理想值优化磁环排列间隔
Table 2. Magnetic rings gaps of single-objective optimization.
Gap1/2
/mmGap2
/mmGap3
/mmGap4
/mmGap5
/mmGap6
/mm8.20 16.70 20.22 17.92 27.80 26.50
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表 3 多段式单理想值优化结果
Table 3. Results of multi-part single objective optimization.
${d_{{Z_1}}}/{\text{mm}}$ ${d_{{Z_2}}}/{\text{mm}}$ ${d_{{Z_3}}}/{\text{mm}}$ ${d_{{Z_4}}}/{\text{mm}}$ ${d_{{Z_5}}}/{\text{mm}}$ ${d_{{Z_6}}}/{\text{mm}}$ –1.55 –5.17 –5.31 –7.07 0.15 7.35
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表 4 多段式单理想值优化磁环排列间隔
Table 4. Magnetic rings gaps of multi-part single objective optimization.
Gap1/2/mm Gap2/mm Gap3/mm Gap4/mm Gap5/mm Gap6/mm 8.45 16.38 19.86 18.24 27.22 27.20
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表 5 梯度优化结果
Table 5. Results of gradient optimization.
${d_{{Z_1}}}/{\text{mm}}$ ${d_{{Z_2}}}/{\text{mm}}$ ${d_{{Z_3}}}/{\text{mm}}$ ${d_{{Z_4}}}/{\text{mm}}$ ${d_{{Z_5}}}/{\text{mm}}$ ${d_{{Z_6}}}/{\text{mm}}$ –1.31 –3.55 –4.59 –3.40 2.18 14.04
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表 6 梯度优化磁环排列间隔
Table 6. Magnetic rings gaps of gradient optimization.
Gap1/2/
/mmGap2/
mmGap3/
mmGap4/
mmGap5/
mmGap6/
mm8.45 17.76 18.96 21.19 25.58 31.86
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表 7 三种优化方案的磁场均匀度结果比较
Table 7. Comparison of magnetic field uniformity of three optimization method.
优化方案 单理想值优化 多理想值优化 梯度优化 $ \zeta $(磁场均匀度) 23.236 12.793 0.027
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[1] Liu K, Lewicki R, Tittel F K 2016 Sensor. Actuat. B. Chem. 237 887
Google Scholar
[2] Boone C D, Dalby F W, Ozier I 2000 J. Chem. Phys. 113 8594
Google Scholar
[3] Hinz A, Pfeiffer J, Bohle W, Urban W 1982 Mol. Phys. 45 1131
Google Scholar
[4] Litfin G, Pollock C R, Curl R F, Tittel F K 1980 J. Chem. Phys. 72 6602
Google Scholar
[5] Gianella M, Pinto T, Wu X, Ritchie G 2017 J. Chem. Phys. 147 05420
Google Scholar
[6] Westberg J, Lathdavong L, Dion C M, Shao J, Kluczynski P, Lundqvist S, Axner O 2010 J. Quant. Spectrosc. Ra. 111 2415
Google Scholar
[7] Blake T A, Chackerian C, Podolske J R 1996 Appl. Opt. 35 973
Google Scholar
[8] Adams H, Reinert D, Kalkert P, Urban W 1984 Appl. Phys. B 34 179
Google Scholar
[9] Zhang E, Huang S, Ji Q X, Silvernagel M, Wang Y, Ward B, Sigman D, Wysocki G 2015 Sensors 15 25992
Google Scholar
[10] Fritsch T, Horstjann M, Halmer D, Sabana, Hering P, Mürtz M 2008 Appl. Phys. B 93 713
Google Scholar
[11] Kluczynski P, Lundqvist S, Westberg J, Axner O. 2011 Appl. Phys. B 103 451
Google Scholar
[12] Wang Y, Nikodem M, Zhang E, Cikach F, Barnes J, Comhair S, Dweik R A, Kao C, Wysocki G 2015 Sci. Rep. 5 9096
Google Scholar
[13] Lewicki R, Doty III J H, Curl R F, Tittel F K, Wysocki G 2009 P. Natl. Acad. Sci. USA 106 12587
Google Scholar
[14] Ganser H, Urban W, Brown J M 2003 Mol. Phys. 101 545
Google Scholar
[15] Sabana H, Fritsch T, Onana M B, Bouba O, Hering P, Mürtz M 2009 Appl. Phys. B 96 535
Google Scholar
[16] Smith J M, Bloch J C, Field R W, Steinfeld J I 1995 J. Opt. Soc. Am. B 12 964
Google Scholar
[17] Zaugg C A, Lewicki R, Day T, Curl R F, Tittle F K 2011 Conference on Quantum Sensing and Nanophotonic Devices VIII San Francisco CA, January 23–27, 2011
[18] Brumfield B, Wysocki G 2012 Opt. Express 20 29727
Google Scholar
[19] So S G, Jeng E, Wysocki G 2011 Appl. Phys. B 102 279
Google Scholar
[20] Zhao W, Fang B, Lin X, Gai Y, Zhang W, Chen W, Chen Z, Zhang H, Chen W 2018 Anal. Chem. 90 3958
Google Scholar
[21] 底楠, 赵建林, 王志兵 2009 中国激光 39 2290
Google Scholar
Di N, Zhao J L, Wang Z B 2009 Chin. J. Lasers 39 2290
Google Scholar
[22] Peng Q L, Mcmurry S M, Coey J M D 2004 J. Magn. Magn. Mater. 268 165
Google Scholar
[23] 严密, 彭晓领 2006 磁学基础与磁性材料(上卷) (杭州: 浙江大学出版社) 第10—12页
Yan M, Peng X L 2006 Fundamentals of Magnetism and Magnetic Materials (Vol. 1) (Hangzhou: Zhejiang University Press) pp10–12 (in Chinese)
[24] Sabetghadam F, Sharafatmandjoor S, Norouzi F 2009 J. Comput. Phys. 228 55
Google Scholar
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