[an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]|
王达(2000—),男,辽宁铁岭人,硕士研究生,主要研究方向为增材制造,E-mail:wangdasau@163.com |
|
钦兰云(1977—),女,江苏睢宁人,教授,博士,主要研究方向为航空航天先进材料增材制造,电弧、激光成型与修复,E-mail: qinly@sau.edu.cn。 |
收稿日期: 2026-03-09
修回日期: 2026-04-03
录用日期: 2026-04-05
网络出版日期: 2026-09-02
基金资助
国家自然科学基金(51975387)
辽宁省属本科高校基本科研业务费专项资金(LJ222410143001)
辽宁省属本科高校基本科研业务费专项资金(LJ232410143008)
辽宁省属本科高校基本科研业务费专项资金(LJ232410143010)
Surface deviation monitoring and feedback control of laser deposition manufacturing
Received date: 2026-03-09
Revised date: 2026-04-03
Accepted date: 2026-04-05
Online published: 2026-09-02
王达 , 钦兰云 , 王伟 , 杨光 , 王超 . 激光沉积制造成形表面偏差监测与反馈控制[J]. 沈阳航空航天大学学报, 2026 , 43(4) : 35 -46 . DOI: 10.3969/j.issn.2095-1248.2026.04.004
To address the issue of concave and convex deviations on the surface of laser deposition manufacturing, an algorithm for surface deviation monitoring and feedback control was designed. Surface deviation monitoring was achieved through three-dimensional point cloud reconstruction, coordinate system registration, simplified noise reduction, and deviation value calculation. The feedback control algorithm extracted contour profiles of deviation zones, generating layered compensation trajectories for concave areas and zoned control trajectories for convex areas, thereby implementing feedback control over surface deviation regions. A validation experiment was conducted: the surface deviation monitoring and feedback control programe promptly identified concave and convex deviation zones on the test specimen surface and applied feedback control, significantly reducing surface flatness errors. This demonstrated the effectiveness of the forming surface deviation monitoring and feedback control algorithm, holding significant implications for the advancement of laser additive manufacturing technology.
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
彭谦,董世运,闫世兴,等.激光熔化沉积成形缺陷及其控制方法综述[J].材料导报,2018,32(15):2666-2671.
|
| [5] |
张学军,陈冰清.航空典型金属材料增材制造组织、缺陷、表面、构型研究进展[J].航空材料学报,2024,44(1):1-14.
|
| [6] |
刘静怡,李文辉,李秀红,等.航空零部件的金属增材制造光整加工技术研究进展[J].表面技术,2023,52(12):20-41.
|
| [7] |
|
| [8] |
validation of inspection principles[J].Precision Engineering,2025,94:761-772.
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
李俊宏,张萍,高椿明,等.双轮廓仪金属增材制造工件表面3维重建技术[J].兵工自动化,2022,41(3):59-62.
|
| [13] |
|
| [14] |
|
| [15] |
赵宇辉,赵吉宾,王志国.Inconel 625镍基高温合金激光增材制造翘曲变形行为研究[J].真空,2020,57(2):88-93.
|
| [16] |
王霞,王维,杨光,等.激光沉积薄壁结构热力演化的尺寸效应[J].金属学报,2020,56(5):745-752.
|
| [17] |
胡楷雄,李克,周勇,等.基于Kriging模型和强化学习的激光直接能量沉积成形尺寸控制[J].激光与光电子学进展,2024,61(23):246-256.
|
| [18] |
|
| [19] |
|
| [20] |
邢宏文,刘思仁,邱磊,等.基于点云数据的零件数字化检测技术研究[J].机械制造与自动化,2020,49(6):217-219.
|
| [21] |
周祥曼,费世港,田启华,等.增材制造数字化模型平面与非平面切片及路径规划研究进展[J].航空制造技术,2023,66(16):40-68.
|
| [22] |
陈达,章轩,赵圣斌,等.基于深度学习的激光熔覆层表面缺陷识别研究[J].光学学报,2025,45(9):193-203.
|
| [23] |
韩金玉,赵歆,姜亚萍.激光三维点云下机械零件表面缺陷识别方法[J].激光杂志,2025,46(1):234-239.
|
| [24] |
杨启,田虎成,闫昭华,等.激光近净成形中熔池宽度实时监控系统的研究[J].激光与红外,2019,49(9):1060-1067.
|
| [25] |
苏立志,杨建利,卢通,等.基于模糊增量式PID控制的激光定向能量沉积熔池温度监测与闭环控制[J].中国表面工程,2025,38(3):199-212.
|
| [26] |
彭程.中空激光内送粉TC4钛合金沉积温度控制研究[D].苏州:苏州大学,2020.
|
| [27] |
张潇丹.基于点云处理的工件高度测量和表面缺陷检测关键技术研究[D].太原:中北大学,2023.
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
丁承君,孙刚,尹李亮,等.散乱点云的边界提取[J].计算机技术与发展,2017,27(7):83-86.
|
| [33] |
|
| [34] |
吴呼玲. 平面度误差评定的几种方法[J]. 产业与科技论坛, 2015, 14(22): 68-69.
|
/
| 〈 |
|
〉 |