搜索

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

星光III装置上材料动态压缩过程的激光质子照相实验研究

黄华 李江涛 王倩男 孟令彪 齐伟 洪伟 张智猛 张博 贺书凯 崔波 伍艺通 张航 吉亮亮 周维民 胡建波

引用本文:
Citation:

星光III装置上材料动态压缩过程的激光质子照相实验研究

黄华, 李江涛, 王倩男, 孟令彪, 齐伟, 洪伟, 张智猛, 张博, 贺书凯, 崔波, 伍艺通, 张航, 吉亮亮, 周维民, 胡建波

Experimental study on the dynamic compression of materials at XGIII facility by laser proton photography

Huang Hua, Li Jiang-Tao, Wang Qian-Nan, Meng Ling-Biao, Qi Wei, Hong Wei, Zhang Zhi-Meng, Zhang Bo, He Shu-Kai, Cui Bo, Wu Yi-Tong, Zhang Hang, Ji Liang-Liang, Zhou Wei-Min, Hu Jian-Bo
PDF
HTML
导出引用
  • 在星光III (XGIII)装置上发展了一种基于质子照相的材料动态密度测量方法, 该方法以星光III装置皮秒激光打靶产生的质子作为质子源, 对在星光III装置纳秒束冲击加载下的晶格泡沫的密度分布进行诊断, 利用蒙特卡罗模拟方法对照相结果进行反解获得晶格泡沫的密度. 利用该方法, 成功获得了冲击加载5.2 ns后晶格泡沫以及其中冲击波的质子照相图像. 通过图像反解, 获得了冲击加载下晶格泡沫的密度分布, 在冲击波前沿位置, 晶格泡沫的密度由于压缩而增大了约20倍; 同时, 通过对照相结果的反解, 还给出了冲击波在晶格泡沫中的传播速度, 约40 km/s. 利用金刚石台阶客体对该方法的相对密度分辨率和空间分辨率进行标定, 实验结果表明两者分别好于4%和12 μm. 为了进一步提升星光III装置质子照相的密度和空间分辨率, 提出了一种利用选能器获得准单能质子束进行照相的方法, 并使用蒙特卡罗程序对该方法的分辨率进行了模拟验证. 模拟结果显示, 使用单能质子束能将相对密度分辨率提升至1%以上. 通过上述实验以及模拟工作, 在星光III装置上建立起了针对快过程(纳秒尺度)、高压力(近百GPa)条件下的材料动态密度诊断能力.
    A new method for material dynamic density measurement based on proton photography is developed at XGIII facility. The protons produced by the picosecond laser of XGIII was used as the proton source to diagnose the density distribution of lattice foam under the compression of the nanosecond beam of XGIII. The density of lattice foam was calculated from the photographic results using Monte Carlo simulation method. Benefitting fromn this newly developed method, the images of the compressed lattice foam and the shock front at 5.2 ns is obtained successfully. The density distribution of the lattice foam was obtained from the images and the density of lattice foam increases about 20 times at the shock front due to the compression of the shock. The velocity of shock wave in lattice foam is also given, about 40 km/s. The density and spatial resolution of the method are further calibrated by using diamond step objects, and experimental results show that they are better than 4% and 12 μm, respectively. In order to further improve the density and spatial resolution of the proton photography at XGIII facility, a new radiogrphy method utilizing quasimonoenergetic proton beams obtained from an energy selector is proposed in this paper, and the resolution of this method is simulated by Monte Carlo program. The simulation results show that the relative density resolution can be improved to more than 1%. Through the above experimental and the simulation results, we demonstrated that diagnostic capability has been established for fast process (nanosecond scale), high pressure (nearly 100 GPa) conditions at XGIII facility.
      通信作者: 李江涛, lchero08@163.com ; 胡建波, jianbo.hu@caep.cn
    • 基金项目: 科学挑战计划(批准号: TZ2018001)、国家重点研发计划(批准号: 2018YFA0404804)、等离子体物理重点实验室基金(批准号: 6142A04200101)、冲击与安全工程教育部重点实验室开放基金(批准号: CJ201908)、高压物理与地震科技联合实验室开放基金、冲击波物理与爆轰物理重点实验室基金(批准号: 2021JCJQLB05705)和核物理与核技术国家重点实验室基金(批准号: NPT2020KFY01)资助的课题.
      Corresponding author: Li Jiang-Tao, lchero08@163.com ; Hu Jian-Bo, jianbo.hu@caep.cn
    • Funds: Project supported by the Science Challenge Project, China (Grant No. TZ2018001), the National Key R&D Program of China (Grant No. 2018YFA0404804), the Fund of the Plasma Physics Laboratory, China (Grant No. 6142A04200101), the Key Laboratory of Impact and Safety Engineering, Ministry of Education of China (Grant No. CJ201908), the Foundation of United Laboratory of High Pressure Physics and Earthquake Science, the State Key Laboratory for Shock Wave and Detonation Physics Funding, China (Grant No. 2021JCJqLB05705), and the State Key Laboratory of Nuclear Physics and Technology, China (Grant No. NPT2020KFY01).
    [1]

    Ma T, Hurricane O A, Callahan D A, et al. 2015 Phys. Rev. Lett. 114 145004Google Scholar

    [2]

    Lindl J, Landen O, Edwards J, Moses E, Team N 2014 Phys. Plasmas 21 020501Google Scholar

    [3]

    Benuzzi-Mounaix A, Loupias B, Koenig M, Ravasio A, Ozaki N, Rabec le Gloahec M, Vinci T, Aglitskiy Y, Faenov A, Pikuz T, Boehly T 2008 Phys. Rev. E 77 045402

    [4]

    Ravasio A, Koenig M, Le Pape S, et al. 2008 Phys. Plasmas 15 060701Google Scholar

    [5]

    Ravasio A, Romagnani L, Pape S L, et al,. 2010 Phys. Rev. E 82 016407Google Scholar

    [6]

    Mackinnon A J, Patel P K, Borghesi M, et al. 2006 Phys. Rev. Lett. 97 045001Google Scholar

    [7]

    Borghesi M, Mackinnon A J, Campbell D H, Hicks D G, Kar S, Patel P K, Price D, Romagnani L, Schiavi A, Willi O 2004 Phys. Rev. Lett. 92 055003Google Scholar

    [8]

    Teng J, Zhao Z Q, Zhu B, Hong W, Cao L F, Zhou W M, Shan L Q, Gu Y Q 2011 Chin. Phys. Lett. 28 035203Google Scholar

    [9]

    Aydelotte B, Golt M, Schuster B, Allison J, Cherne F, Freeman M, Hollander B, Jensen B, Lopez J, Mariam F, et al. 2019 Dynamic Behavior of Materials (Vol. 1) (Berlin: Springer) pp127–131

    [10]

    Cherne F J, Jensen B J, Tang Z, Freeman M S 2020 AIP Conference Proceedings 2272 120004Google Scholar

    [11]

    Le Pape S, Koenig M, Vinci T, Martinolli E, Bennuzzi-Mounaix A, Hicks D, Patel P, Mackinnon A, Romagnani L, Borghesi M, Kar S, Boehly T 2006 High Energy Density Physics 2 1Google Scholar

    [12]

    Hua R, Sio H, Wilks S C, Beg F N, McGuffey C, Bailly-Grandvaux M, COllins G W, Ping Y 2017 Appl. Phys. Lett. 111 034102Google Scholar

    [13]

    Ostermayr T M, Kreuzer C, Englbrench S, et al. 2020 Nat. Commun. 11 6174Google Scholar

    [14]

    Teng J, Hong W, He S K, et al. 2017 High Power Laser And Part. Beams 29 092001

    [15]

    Bloch F 1933 Ann. Phys. 408 285Google Scholar

    [16]

    Meinecke J, Tzeferacos P, Bell A, Gregori G 2015 PNAS 112 8211Google Scholar

    [17]

    Rigby A, Cruz F, Albertazzi B, et al. 2018 Nat. Phys. 14 475Google Scholar

    [18]

    Meinecke J, Doyle H, Miniati F, et al. 2014 Nat. Phys. 10 520Google Scholar

    [19]

    Ren J R, Deng Z G, Qi W, et al. 2020 Nat. Commun. 11 5157Google Scholar

  • 图 1  (a) 实验布局示意图; (b) RCF堆栈获得的质子角分布; (c) 汤姆孙谱仪测得的质子能谱

    Fig. 1.  (a) Schematic diagram of the experimental setup; (b) measured angular distribution of the protons by RCF; (c) measured proton spectrum by the Thomson parabolic spectrometer

    图 2  晶格泡沫光学显微镜照片

    Fig. 2.  Optical microscope image of the lattice foam

    图 3  静态质子照相实验结果  (a) 第14片RCF上获得的金刚石台阶图像; (b) 图(a)中黑色虚线框区域的放大图像; (c) 图(b)中黑色虚线框部分的灰度值曲线; (d) 金刚石台阶的光学显微镜图像, 图中的黑色箭头表示质子传播方向. 图中的四条竖直红色虚线为根据图(b)中灰度曲测得的三级金刚石台阶的边界

    Fig. 3.  Results of static proton radiography experiment: (a) Image of the diamond steps obtained on the 14 th RCF; (b) enlarged image of the black dotted box area in panel (a); (c) gray value curve of the part of black dotted box in panel (b); (d) optical microscope image of the diamond steps with the black arrow indicating the direction of proton propagation. The four vertical red dotted lines in the figure are the boundaries of the three diamond steps measured according to the gray value in panel (b)

    图 4  (a) 第6片RCF (对应质子能量7.2 MeV)上, 纳秒激光压缩后的冲击靶质子图像, 采集于纳秒激光发射后5.2 ns; (b)二维柱对称FLASH程序模拟得到的5.2 ns时刻的烧蚀靶密度分布, 模拟参数为: 纳秒激光为脉宽2 ns的方波, 能量60 J, 焦斑1 mm, 烧蚀靶的参数与第2节给出的光学显微镜测量结果一致, 初始位于$ 200—800\;{\text{ μm}} $, 0—200$ {\text{ μm}} $为铝基底; (c) 黑色实线为图(a)黑色方框区域的灰度值随位置的变化关系, 黑色虚线为利用蒙特卡罗方法模拟质子穿过图(b)中得到的密度分布后在第6片RCF得到的灰度曲线; (d) 黑色线为图(b)中$ x=512\;{\text{ μm}} $线上的密度分布, 红色虚线为相应位置处靶的初始密度分布

    Fig. 4.  (a) Proton image on the 6th RCF (corresponding to proton energy 7.2 MeV), showing the density profile of the ablated target compressed by the nanosecond laser at $ t=5.2 \;{\rm {ns}} $ after the nanosecond laser emission. (b) Density distribution of the ablation target at 5.2 ns simulated by the FLASH code. The simulation parameters are as follows: the nanosecond laser is a square wave with pulse width of 2 ns, energy of 60 J and focal spot of 1 mm; the parameters of the ablation target are consistent with the experimental parameters given in section 2. The target locates initially between 200 and $ 800\;{\text{ μm}} $, and the aluminum base occupies the space of 0–200$ {\text{ μm}} $. (c) The solid black line is the gray value in the area indicated by the black box in panel (a), the dotted black line is the gray value obtained in the 6th RCF after the Monte Carlo method is used to simulate protons passing through foam with the same density profile shown in panel (b). (d) the black line indicates the density distribution on $x=512 \;{\text{ μm}}$ in panel (b), and the dotted red line is the initial density distribution of the target at the corresponding position

    图 5  准单能质子照相实验排布示意图

    Fig. 5.  Schematic diagram of the experimental setup using quasi-monoenergetic protons

    图 6  不同能散下模拟得到的RCF上的质子图像  (a)—(d) $ E_k=10\;{\rm{MeV}} $第2—5片RCF上的质子图像; (f)—(i) $ E_k= $$ 10\;{\rm{MeV}} $, $ \sigma=0.4{\text{ MeV}} $时, 第2—5片RCF上的质子图像; (k)—(n) $ E_k= $$ 10\;{\rm{ MeV}} $, $ \sigma=0.8{\text{ MeV}} $时, 第2—5片RCF上的质子图像. 图(e), (j), (o)为照相客体密度分布. 红色虚线标识出了RCF图像与客体密度区域的对应关系

    Fig. 6.  Simulated proton images on 2nd–5th RCF: (a)–(d) $ E_k=10{\text{ MeV}}$; (f)–(i) $ E_k=10{\rm{ MeV}} $, $ \sigma=0.4{\text{ MeV}} $; (k)–(n) $ E_k= $$ 10\;{\rm{ MeV}} $, $ \sigma=0.4{\text{ MeV}} $ respectively. (e), (j) and (o) are the initial density distribution of the sample. The red dotted line indicates the corresponding relationship between the RCF image and the object density

    图 7  图6中不同能散条件下第4片RCF上灰度值曲线及客体初始密度分布. 黑色实线为单能质子算例, 黑色点线为$\sigma=0.4{\text{ MeV}}$算例, 黑色虚线为$\sigma=0.8{\text{ MeV}}$算例, 红色虚线为客体初始密度分布

    Fig. 7.  Gray value on the fourth RCF in Fig. 6 with different energy spread and the initial density profile of the sample. The solid black line for the monoenergetic case, the black dotted line for the case with $\sigma=0.4{\text{ MeV}}$, the black dashed line for the case with $\sigma=0.8{\text{ MeV}}$ and the red dashed line for the initial density profile of the sample

    图 8  不同源尺寸下模拟得到的RCF上的质子图像  (a)—(d) 点源照相获得第2—5片RCF上的质子图像; (e)—(h) $l_{{\rm{source}}}= $$ 40{\text{ μm}}$时, 第2—5片RCF上的质子图像; (i)—(l): $l_{{\rm{source}}}=80{\text{ μm}}$时, 第2—5片RCF上的质子图像

    Fig. 8.  The simulated proton images on the RCF pieces with different source sizes: (a)–(d) Proton images on the 2–5 RCF pieces with a point source; (e)–(h) proton images on the 2–5 RCF pieces using a point $40{\text{ μm}}$ source; (i)–(l) proton images on the 2–5 RCF pieces using a point $80{\text{ μm}}$ source

  • [1]

    Ma T, Hurricane O A, Callahan D A, et al. 2015 Phys. Rev. Lett. 114 145004Google Scholar

    [2]

    Lindl J, Landen O, Edwards J, Moses E, Team N 2014 Phys. Plasmas 21 020501Google Scholar

    [3]

    Benuzzi-Mounaix A, Loupias B, Koenig M, Ravasio A, Ozaki N, Rabec le Gloahec M, Vinci T, Aglitskiy Y, Faenov A, Pikuz T, Boehly T 2008 Phys. Rev. E 77 045402

    [4]

    Ravasio A, Koenig M, Le Pape S, et al. 2008 Phys. Plasmas 15 060701Google Scholar

    [5]

    Ravasio A, Romagnani L, Pape S L, et al,. 2010 Phys. Rev. E 82 016407Google Scholar

    [6]

    Mackinnon A J, Patel P K, Borghesi M, et al. 2006 Phys. Rev. Lett. 97 045001Google Scholar

    [7]

    Borghesi M, Mackinnon A J, Campbell D H, Hicks D G, Kar S, Patel P K, Price D, Romagnani L, Schiavi A, Willi O 2004 Phys. Rev. Lett. 92 055003Google Scholar

    [8]

    Teng J, Zhao Z Q, Zhu B, Hong W, Cao L F, Zhou W M, Shan L Q, Gu Y Q 2011 Chin. Phys. Lett. 28 035203Google Scholar

    [9]

    Aydelotte B, Golt M, Schuster B, Allison J, Cherne F, Freeman M, Hollander B, Jensen B, Lopez J, Mariam F, et al. 2019 Dynamic Behavior of Materials (Vol. 1) (Berlin: Springer) pp127–131

    [10]

    Cherne F J, Jensen B J, Tang Z, Freeman M S 2020 AIP Conference Proceedings 2272 120004Google Scholar

    [11]

    Le Pape S, Koenig M, Vinci T, Martinolli E, Bennuzzi-Mounaix A, Hicks D, Patel P, Mackinnon A, Romagnani L, Borghesi M, Kar S, Boehly T 2006 High Energy Density Physics 2 1Google Scholar

    [12]

    Hua R, Sio H, Wilks S C, Beg F N, McGuffey C, Bailly-Grandvaux M, COllins G W, Ping Y 2017 Appl. Phys. Lett. 111 034102Google Scholar

    [13]

    Ostermayr T M, Kreuzer C, Englbrench S, et al. 2020 Nat. Commun. 11 6174Google Scholar

    [14]

    Teng J, Hong W, He S K, et al. 2017 High Power Laser And Part. Beams 29 092001

    [15]

    Bloch F 1933 Ann. Phys. 408 285Google Scholar

    [16]

    Meinecke J, Tzeferacos P, Bell A, Gregori G 2015 PNAS 112 8211Google Scholar

    [17]

    Rigby A, Cruz F, Albertazzi B, et al. 2018 Nat. Phys. 14 475Google Scholar

    [18]

    Meinecke J, Doyle H, Miniati F, et al. 2014 Nat. Phys. 10 520Google Scholar

    [19]

    Ren J R, Deng Z G, Qi W, et al. 2020 Nat. Commun. 11 5157Google Scholar

  • [1] 何欢, 白雨蓉, 田赏, 刘方, 臧航, 柳文波, 李培, 贺朝会. 质子入射AlxGa1–xN 材料的位移损伤模拟. 物理学报, 2024, 73(5): 052402. doi: 10.7498/aps.73.20231671
    [2] 杨振宇, 张元哲, 范威, 杨广杰, 韩先伟. 磁等离子体发动机中磁喷管分离过程的流体模拟. 物理学报, 2024, 73(10): 105201. doi: 10.7498/aps.73.20231862
    [3] 陈龙, 王迪雅, 陈俊宇, 段萍, 杨叶慧, 檀聪琦. 霍尔推力器放电通道低频振荡特性及抑制方法. 物理学报, 2023, 72(17): 175201. doi: 10.7498/aps.72.20230680
    [4] 邓娈, 杜报, 蔡洪波, 康洞国, 朱少平. 在质子照相中利用Abel逆变换反演等离子体自生磁场结构. 物理学报, 2022, 71(24): 245203. doi: 10.7498/aps.71.20221848
    [5] 彭国良, 张俊杰. 基于流体-磁流体-粒子混合方法的高空核爆炸碎片云模拟. 物理学报, 2021, 70(18): 180703. doi: 10.7498/aps.70.20210347
    [6] 范佳锟, 王洁, 高勇, 游志明, 王盛, 张静, 胡耀程, 许章炼, 王斌. 超级质子-质子对撞机中束流热屏的热-结构耦合模拟分析. 物理学报, 2021, 70(1): 012901. doi: 10.7498/aps.70.20200830
    [7] 陈锋, 郝建红, 许海波. 考虑磁透镜边缘场的质子成像系统优化设计. 物理学报, 2021, 70(2): 022901. doi: 10.7498/aps.70.20201141
    [8] 陈锋, 许海波, 郑娜, 贾清刚, 佘若谷, 李兴娥. 高能质子照相中基于角度准直器设计的理论研究. 物理学报, 2020, 69(3): 032901. doi: 10.7498/aps.69.20191691
    [9] 高书涵, 王绪成, 张远涛. 脉冲调制条件下介质阻挡特高频放电特性的数值模拟. 物理学报, 2020, 69(11): 115204. doi: 10.7498/aps.69.20191853
    [10] 陈锋, 郑娜, 许海波. 质子照相中基于能量损失的密度重建. 物理学报, 2018, 67(20): 206101. doi: 10.7498/aps.67.20181039
    [11] 胡艳婷, 张钰如, 宋远红, 王友年. 相位角对容性耦合电非对称放电特性的影响. 物理学报, 2018, 67(22): 225203. doi: 10.7498/aps.67.20181400
    [12] 杨政权, 李成, 雷奕安. 锥形腔等离子体压缩的磁流体模拟. 物理学报, 2016, 65(20): 205201. doi: 10.7498/aps.65.205201
    [13] 鲁昌兵, 许鹏, 鲍杰, 王朝辉, 张凯, 任杰, 刘艳芬. 快中子照相模拟分析与实验验证. 物理学报, 2015, 64(19): 198702. doi: 10.7498/aps.64.198702
    [14] 滕建, 朱斌, 王剑, 洪伟, 闫永宏, 赵宗清, 曹磊峰, 谷渝秋. 激光加速质子束对电磁孤立子的照相模拟研究. 物理学报, 2013, 62(11): 114103. doi: 10.7498/aps.62.114103
    [15] 肖渊, 王晓方, 滕建, 陈晓虎, 陈媛, 洪伟. 激光加速电子束放射照相的模拟研究. 物理学报, 2012, 61(23): 234102. doi: 10.7498/aps.61.234102
    [16] 鞠志萍, 曹午飞, 刘小伟. 质子散射角分布的蒙特卡罗模拟. 物理学报, 2009, 58(1): 174-177. doi: 10.7498/aps.58.174
    [17] 滕建, 洪伟, 赵宗清, 巫顺超, 秦孝尊, 何颖玲, 谷渝秋, 丁永坤. 激光质子照相特性模拟研究. 物理学报, 2009, 58(3): 1635-1641. doi: 10.7498/aps.58.1635
    [18] 章法强, 杨建伦, 李正宏, 应纯同, 刘广均. 14MeV中子照相中散射中子对成像影响的Monte Carlo模拟. 物理学报, 2007, 56(6): 3577-3583. doi: 10.7498/aps.56.3577
    [19] 俞慧丹, 赵凯华. 模拟可压缩流体的格子Boltzmann模型. 物理学报, 1999, 48(8): 1470-1476. doi: 10.7498/aps.48.1470
    [20] 朱武飚, 王友年, 邓新禄, 马腾才. 负偏压射频放电过程的流体力学模拟. 物理学报, 1996, 45(7): 1138-1145. doi: 10.7498/aps.45.1138
计量
  • 文章访问数:  4880
  • PDF下载量:  93
  • 被引次数: 0
出版历程
  • 收稿日期:  2022-05-10
  • 修回日期:  2022-06-08
  • 上网日期:  2022-09-19
  • 刊出日期:  2022-10-05

/

返回文章
返回