• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于聚焦法的改进形状测量技术在喷嘴三维特征测量中的应用。

An Improved Shape from Focus Method for Measurement of Three-Dimensional Features of Fuel Nozzles.

机构信息

Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, China.

State Key Laboratory of High-Performance Complex Manufacturing, Central South University, Changsha 410083, China.

出版信息

Sensors (Basel). 2022 Dec 27;23(1):265. doi: 10.3390/s23010265.

DOI:10.3390/s23010265
PMID:36616865
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9824882/
Abstract

The precise three-dimensional measurement of fuel nozzles is of great significance to assess the manufacturing accuracy and improve the spray and atomization performance. This paper proposes an improved fast shape from focus (SFF) method for three-dimensional measurement of key features of fuel nozzles. In order to ensure the measurement accuracy and efficiency of the SFF, the dispersion of the measured points from a standard flat plane was used to select the optimal combination of the focus measure operator, window size and sampling step size. In addition, an approximate method for the focus measure interval is proposed to improve the measurement efficiency, which uses the peak region of the central pixel to replace the peak region of other pixels. The results show that the proposed method decreased the average computation time of the focus measure by 79.19% for the cone section and by 38.30% for the swirl slot. Compared with a reference laser scanning microscope, the measurement error in length is within 10 μm and the error in angle is within a maximum 0.15°.

摘要

精确测量燃油喷嘴的三维形状对于评估制造精度和改善喷雾及雾化性能具有重要意义。本文提出了一种改进的快速聚焦形状(SFF)方法,用于测量燃油喷嘴关键特征的三维形状。为了确保 SFF 的测量精度和效率,使用测量点相对于标准平面的离散度来选择最佳的聚焦度量算子、窗口大小和采样步长组合。此外,还提出了一种聚焦度量间隔的近似方法,以提高测量效率,该方法使用中心像素的峰值区域来代替其他像素的峰值区域。结果表明,与参考激光扫描显微镜相比,该方法使圆锥段的聚焦度量平均计算时间减少了 79.19%,旋流槽段的聚焦度量平均计算时间减少了 38.30%。在长度测量方面,测量误差在 10μm 以内,角度测量误差最大为 0.15°。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/3b4b518c86e9/sensors-23-00265-g016a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/1286193fa397/sensors-23-00265-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/95cdf371c828/sensors-23-00265-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/0cc25ca0a7d9/sensors-23-00265-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/e06f64ac222f/sensors-23-00265-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/1fdb16b1e530/sensors-23-00265-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/5718c58de696/sensors-23-00265-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/85c79764d51f/sensors-23-00265-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/643acafc2f94/sensors-23-00265-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/52a76d9938c0/sensors-23-00265-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/33e210e97bcf/sensors-23-00265-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/e71a701be5ac/sensors-23-00265-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/950cb332ad7e/sensors-23-00265-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/2da809fbb71b/sensors-23-00265-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/06a4ad8caa66/sensors-23-00265-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/dea87e10f094/sensors-23-00265-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/3b4b518c86e9/sensors-23-00265-g016a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/1286193fa397/sensors-23-00265-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/95cdf371c828/sensors-23-00265-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/0cc25ca0a7d9/sensors-23-00265-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/e06f64ac222f/sensors-23-00265-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/1fdb16b1e530/sensors-23-00265-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/5718c58de696/sensors-23-00265-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/85c79764d51f/sensors-23-00265-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/643acafc2f94/sensors-23-00265-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/52a76d9938c0/sensors-23-00265-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/33e210e97bcf/sensors-23-00265-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/e71a701be5ac/sensors-23-00265-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/950cb332ad7e/sensors-23-00265-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/2da809fbb71b/sensors-23-00265-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/06a4ad8caa66/sensors-23-00265-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/dea87e10f094/sensors-23-00265-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e8/9824882/3b4b518c86e9/sensors-23-00265-g016a.jpg

相似文献

1
An Improved Shape from Focus Method for Measurement of Three-Dimensional Features of Fuel Nozzles.基于聚焦法的改进形状测量技术在喷嘴三维特征测量中的应用。
Sensors (Basel). 2022 Dec 27;23(1):265. doi: 10.3390/s23010265.
2
3D Measurement Method for Saturated Highlight Characteristics on Surface of Fuel Nozzle.燃油喷嘴表面饱和高亮特性的三维测量方法
Sensors (Basel). 2022 Jul 28;22(15):5661. doi: 10.3390/s22155661.
3
Multidirectional focus measure for accurate three-dimensional shape recovery of microscopic objects.用于精确恢复微观物体三维形状的多方向聚焦测量
Microsc Res Tech. 2022 Mar;85(3):940-947. doi: 10.1002/jemt.23963. Epub 2021 Oct 19.
4
Robust focus measure operator using adaptive log-polar mapping for three-dimensional shape recovery.基于自适应对数极坐标映射的稳健聚焦测度算子用于三维形状恢复。
Microsc Microanal. 2015 Apr;21(2):442-58. doi: 10.1017/S1431927614014597. Epub 2015 Mar 10.
5
Experimental research on atomization process and dust reduction performance of swirl pressure nozzle.旋流压力喷嘴雾化过程及降尘性能的实验研究。
Environ Sci Pollut Res Int. 2022 Dec;29(59):88540-88556. doi: 10.1007/s11356-022-21394-5. Epub 2022 Jul 14.
6
Roughness measurement of leaf surface based on shape from focus.基于聚焦形状的叶片表面粗糙度测量
Plant Methods. 2021 Jul 9;17(1):72. doi: 10.1186/s13007-021-00773-y.
7
Fractal Analysis of Fuel Nozzle Surface Morphology Based on the 3D-Sandbox Method.基于3D-Sandbox方法的燃油喷嘴表面形貌分形分析
Micromachines (Basel). 2023 Apr 23;14(5):904. doi: 10.3390/mi14050904.
8
Construction of a theoretical model for fan nozzles with precise atomization angles for plant protection.为植保设计具有精确雾化角度的风机喷嘴的理论模型构建。
Chemosphere. 2022 Jan;287(Pt 2):132017. doi: 10.1016/j.chemosphere.2021.132017. Epub 2021 Sep 1.
9
A simplified approach using deep neural network for fast and accurate shape from focus.基于深度神经网络的快速精确聚焦形状估计简化方法
Microsc Res Tech. 2021 Apr;84(4):656-667. doi: 10.1002/jemt.23623. Epub 2020 Oct 19.
10
Method of improving the measurement accuracy of plane array imaging laser radar by pixel cascade.基于像素级联提高面阵成像激光雷达测量精度的方法
Appl Opt. 2020 Mar 10;59(8):2541-2550. doi: 10.1364/AO.384077.

引用本文的文献

1
Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing.用于微观三维传感中聚焦形状的边缘出血伪像减少
Sensors (Basel). 2023 Oct 20;23(20):8602. doi: 10.3390/s23208602.

本文引用的文献

1
A Novel Grain-Based DEM Model for Evaluating Surface Integrity in Scratching of RB-SiC Ceramics.一种用于评估RB-SiC陶瓷划痕表面完整性的新型基于颗粒的离散元模型。
Materials (Basel). 2022 Nov 28;15(23):8486. doi: 10.3390/ma15238486.
2
Analysis of the Planar Point Identification Accuracy in CMM Measurements.三坐标测量机测量中平面点识别精度的分析。
Sensors (Basel). 2022 Sep 15;22(18):7005. doi: 10.3390/s22187005.
3
Roughness measurement of leaf surface based on shape from focus.基于聚焦形状的叶片表面粗糙度测量
Plant Methods. 2021 Jul 9;17(1):72. doi: 10.1186/s13007-021-00773-y.
4
A Fast Shape-from-Focus-Based Surface Topography Measurement Method.一种基于快速聚焦的表面形貌测量方法。
Sensors (Basel). 2021 Apr 7;21(8):2574. doi: 10.3390/s21082574.
5
Depth Hypotheses Fusion through 3D Weighted Least Squares in Shape from Focus.通过聚焦形状中的三维加权最小二乘法进行深度假设融合
Microsc Microanal. 2021 Apr;27(2):344-356. doi: 10.1017/S1431927621000106.
6
A simplified approach using deep neural network for fast and accurate shape from focus.基于深度神经网络的快速精确聚焦形状估计简化方法
Microsc Res Tech. 2021 Apr;84(4):656-667. doi: 10.1002/jemt.23623. Epub 2020 Oct 19.
7
Structured Light Three-Dimensional Measurement Based on Machine Learning.基于机器学习的结构光三维测量
Sensors (Basel). 2019 Jul 23;19(14):3229. doi: 10.3390/s19143229.
8
Focus Profile Modeling.聚焦剖面建模。
IEEE Trans Image Process. 2016 Feb;25(2):818-28. doi: 10.1109/TIP.2015.2509427. Epub 2015 Dec 17.
9
3D image acquisition system based on shape from focus technique.基于调焦法的三维图像获取系统。
Sensors (Basel). 2013 Apr 15;13(4):5040-53. doi: 10.3390/s130405040.
10
3D displacement measurements of the tympanic membrane with digital holographic interferometry.利用数字全息干涉术对鼓膜进行三维位移测量。
Opt Express. 2012 Feb 27;20(5):5613-21. doi: 10.1364/OE.20.005613.