Experimental investigation on high temperature deformation of regeneratively cooled combustor structure based on non-contact measurement
-
摘要: 为获得地面试验中主动冷却燃烧室在高温状态下的结构总变形和局部应变，基于数字图像相关法开展了非接触测量试验研究。分别采用加速鲁棒特征算法和改进的圆柱曲面数字图像相关法完成了燃烧室结构总变形和局部应变测量及分析。测量结果表明，燃烧室稳定工作条件下，结构轴向总变形约4.8 mm、局部平均应变约0.0049。测量结果与工程粗略估算结果比较吻合，说明所使用的非接触测量方法有效，能够支撑燃烧室热结构设计，测量数据能够用于三维结构强度数值计算的验证。Abstract: In order to obtain the high temperature deformation of the generatively cooled combustor structure in ground test, experimental investigation based on non-contact measurement was conducted. The speeded-up robust feature algorithm and the improved digital image correlation of cylindrical surface were used to measure the total deformation and the partial strain of the combustor, respectively. The results show that the experimental total deformations and partial strains of the combustor were about 4.8 mm and 0.0049 respectively under the stable working condition. The experimental results agree well with engineering rough estimated ones, which shows that the presented non-contact measurement is applicable for combustor structure design and the experimental data are useful for validating the numerical calculation of the three-dimensional structural strength analysis.
-
[1] HEISER W, PRATT D, DALEY D, et al. Hypersonic airbreathing propulsion[M]. Washington, DC: AIAA, Inc., 1994. doi:10. 2514/4. 470356 [2] 涂建强, 陈连忠, 马雪松, 等. 发动机燃烧室热防护系统电弧加热直连式试验技术[J]. 导弹与航天运载技术, 2013(6): 10-14. doi: 10.7654/j.issn.1004-7182.20130603TU J Q, CHEN L Z, MA X S, et al. Arc-heated direct-connected testing technology investigation on scramjet combustor thermal protection system[J]. Missiles and Space Vehicles, 2013(6): 10-14. doi: 10.7654/j.issn.1004-7182.20130603 [3] 杨庆涛, 赵顺洪, 周玮, 等. 超燃冲压发动机模型热结构变形量非接触测量研究[J]. 战术导弹技术, 2016(2): 52-56. doi: 10.16358/j.issn.1009-1300.2016.02.10YANG Q T, ZHAO S H, ZHOU W, et al. Study of hot structure deformation non-contact measurement of scramjet article[J]. Tactical Missile Technology, 2016(2): 52-56. doi: 10.16358/j.issn.1009-1300.2016.02.10 [4] 申秀丽, 薛园园, 胡延青, 等. 涡轮复杂气冷叶盘结构变形分析模型简化方法[J]. 航空动力学报, 2017, 32(7): 1712-1717. doi: 10.13224/j.cnki.jasp.2017.07.023SHEN X L, XUE Y Y, HU Y Q, et al. Simplification method of complex air cooling bladed disk structure's deformation analysis model[J]. Journal of Aerospace Power, 2017, 32(7): 1712-1717. doi: 10.13224/j.cnki.jasp.2017.07.023 [5] 任志敏, 骆家文, 李春光, 等. 冲压发动机燃烧室壳体静热试验局部失稳变形分析[J]. 推进技术, 2011, 32(5): 717-721. doi: 10.13675/j.cnki.tjjs.2011.05.023REN Z M, LUO J W, LI C G, et al. Analysis of local buckling distortion and deformation of a ramjet combustor shell in a structural and thermal experiment[J]. Journal of Propulsion Technology, 2011, 32(5): 717-721. doi: 10.13675/j.cnki.tjjs.2011.05.023 [6] 赵丽娜, 贺平照, 邢树根, 等. 基于数字散斑技术的炭/炭复合材料高温应变测量[J]. 固体火箭技术, 2014, 37(5): 729-733. doi: 10.7673/j.issn.1006-2793.2014.05.027ZHAO L N, HE P Z, XING S G, et al. Strain measurement of carbon/carbon composites at high temperatures by digital speckle correlation method[J]. Journal of Solid Rocket Technology, 2014, 37(5): 729-733. doi: 10.7673/j.issn.1006-2793.2014.05.027 [7] 汪贤聪, 杜咏, 周浩. 火灾高温下材料力学性能测试技术试验研究[J]. 建筑钢结构进展, 2018, 20(6): 39-45, 56. doi: 10.13969/j.cnki.cn31-1893.2018.06.006WANG X C, DU Y, ZHOU H. Experimental study on the measuring technology of mechanical properties of materials at elevated temperatures[J]. Progress in Steel Building Struc-tures, 2018, 20(6): 39-45, 56. doi: 10.13969/j.cnki.cn31-1893.2018.06.006 [8] 潘兵, 吴大方, 谢惠民, 等. 基于梯度的数字体图像相关方法测量物体内部变形[J]. 光学学报, 2011, 31(6): 0612005. doi: 10.3788/AOS201131.0612005PAN B, WU D F, XIE H M, et al. Spatial-gradient-based digital volume correlation technique for internal deformation measurement[J]. Acta Optica Sinica, 2011, 31(6): 0612005. doi: 10.3788/AOS201131.0612005 [9] 刘禹, 肖世德, 张睿, 等. 基于遗传算法的数字图像相关变形初值估计[J]. 激光技术, 2020, 44(1): 130-135. doi: 10.7510/jgjs.issn.1001-3806.2020.01.023LIU Y, XIAO S D, ZHANG R, et al. Initial estimation of digital image correlated deformation based on genetic algorithms[J]. Laser Technology, 2020, 44(1): 130-135. doi: 10.7510/jgjs.issn.1001-3806.2020.01.023 [10] 魏斌, 梁晋, 李洁, 等. 大型上单翼飞机机翼三维全场变形测量方案[J]. 航空学报, 2017, 38(7): 167-176. doi: 10.7527/S1000-6893.2016.120859WEI B, LIANG J, LI J, et al. 3D full-field wing deformation measurement method for large high-wing airplanes[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38(7): 167-176. doi: 10.7527/S1000-6893.2016.120859 [11] 王立忠, 汪耀, 梁晋, 等. 高速三维数字图像法测量手机跌落全场应变[J]. 光学精密工程, 2018, 26(9): 2174-2180. doi: 10.3788/OPE.20182609.2174WANG L Z, WANG Y, LIANG J, et al. Measurement of full-field strain incell phone dropping test by high-speed 3D digital image correlation method[J]. Optics and Precision Engineering, 2018, 26(9): 2174-2180. doi: 10.3788/OPE.20182609.2174 [12] 潘兵, 谢惠民, 夏勇, 等. 数字图像相关中基于可靠变形初值估计的大变形测量[J]. 光学学报, 2009, 29(2): 400-406. doi: 10.3788/AOS20092902.0400PAN B, XIE H M, XIA Y, et al. Large-deformation measurement based on reliable initial guess in digital image correlation method[J]. Acta Optica Sinica, 2009, 29(2): 400-406. doi: 10.3788/AOS20092902.0400 [13] 杨红梅, 刘志刚. 基于SURF特征匹配的电气化铁路接触网支撑装置旋转双耳不良状态检测[J]. 铁道学报, 2016, 38(8): 28-34. doi: 10.3969/j.issn.1001-8360.2016.08.005YANG H M, LIU Z G. Defective condition detection of rotary double ears of catenary support device of electrified railway based on feature matching of SURF[J]. Journal of the China Railway Society, 2016, 38(8): 28-34. doi: 10.3969/j.issn.1001-8360.2016.08.005 [14] 张志斌, 赵帅领, 罗锡文, 等. 基于SURF算法的绿色作物特征提取与图像匹配方法[J]. 农业工程学报, 2015, 31(14): 172-178. doi: 10.11975/j.issn.1002-6819.2015.14.024ZHANG Z B, ZHAO S L, LUO X W, et al. Matching method of green crops based on SURF feature extraction[J]. Transactions of the Chinese Society of Agricultural Engineer-ing, 2015, 31(14): 172-178. doi: 10.11975/j.issn.1002-6819.2015.14.024 [15] 朱奇光, 王佳, 张朋珍, 等. 基于高斯矩改进SURF算法的移动机器人定位研究[J]. 仪器仪表学报, 2015, 36(11): 2451-2457. doi: 10.19650/j.cnki.cjsi.2015.11.007ZHU Q G, WANG J, ZHANG P Z, et al. Research on mobile robot localization based on Gaussian moment improved SURF algorithm[J]. Chinese Journal of Scientific Instrument, 2015, 36(11): 2451-2457. doi: 10.19650/j.cnki.cjsi.2015.11.007 [16] BAY H, ESS A, TUYTELAARS T, et al. Speeded-up robust features (SURF)[J]. Computer Vision and Image Understand-ing, 2008, 110(3): 346-359. doi: 10.1016/j.cviu.2007.09.014 [17] PAN B, WANG Z Y, LU Z X. Genuine full-field deformation measurement of an object with complex shape using reliability-guided digital image correlation[J]. Optics Express, 2010, 18(2): 1011-1023. doi: 10.1364/oe.18.001011 [18] ZHOU Y H, CHEN Y Q. Feature matching for automated and reliable initialization in three-dimensional digital image correlation[J]. Optics and Lasers in Engineering, 2013, 51(3): 213-223. doi: 10.1016/j.optlaseng.2012.10.011 [19] TONG W. An evaluation of digital image correlation criteria for strain mapping applications[J]. Strain, 2005, 41(4): 167-175. doi: 10.1111/j.1475-1305.2005.00227.x [20] BAY H, TUYTELAARS T, VAN GOOL L. SURF: speeded up robust features[C]//Proc of the 9th European Conference on Computer Vision. 2006. doi: https://doi.org/10.1007/11744023_32 [21] BROWN M, LOWE D G. Invariant features from interest point groups[C]//Procedings of the British Machine Vision Conference. 2002. doi: 10.5244/c.16.23 -
下载:
点击查看大图
图(11)
计量
- 文章访问数: 465
- HTML全文浏览量: 164
- PDF下载量: 21
- 被引次数: 0
