薄壁叶片叶型多工序加工检验模型建立方法

doi:10.7527/S1000-6893.2019.23034

材料工程与机械制造

本期目录 | 过刊浏览 | 高级检索

前一篇 |

薄壁叶片叶型多工序加工检验模型建立方法

蔺小军¹, 崔彤¹, 杨碧颖², 杨锐¹, 辛晓鹏¹

1. 西北工业大学机电学院, 西安 710072;
2. 中国工程物理研究院机械制造工艺研究所, 绵阳 221116

收稿日期:2019-03-27 修回日期:2019-04-24 出版日期:2019-12-03 发布日期:2019-08-23
通讯作者: 蔺小军 E-mail:linxj@nwpu.edu.cn
基金资助:
国家自然科学基金（51675439）

Method for establishing machining and inspection model of multi-stage machining processes of thin-walled blades

LIN Xiaojun¹, CUI Tong¹, YANG Biying², YANG Rui¹, XIN Xiaopeng¹

1. School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China;
2. Institute of Mechanical Manufacturing Technology, China Academy of Engineering Physics, Mianyang 221116, China

Received:2019-03-27 Revised:2019-04-24 Online:2019-12-03 Published:2019-08-23
Supported by:
National Natural Science Foundation of China (51675439)

摘要/Abstract

摘要： 为了提高叶片的加工质量、降低叶片成品的废品率和加工成本，以航空发动机薄壁叶片数控铣削、抛光、振动光饰、喷丸强化的典型加工工艺为研究对象，提出了一种面向多工序的加工变形误差补偿方法及加工检验模型的建立方法。分析各工序的加工变形规律，将多工序变形误差作为一个整体，利用反变形误差补偿方法建立数控精铣工序的加工模型。图纸要求的理论模型只作为最终检验模型，而工序检验模型根据后续加工误差累加对最终检验模型修改得到。通过实例验证，该方法有效地降低了叶片工序检验结论的误判率，保证了工序检验合格及最终检验合格的要求。

关键词: 多工序, 加工变形, 误差补偿, 加工模型, 检验模型

Abstract: In order to improve the machining quality of blade, reduce the scrap rate of finished blade and the machining cost. In this paper, the typical machining processes of aero-engine thin-walled blades, such as CNC milling, polishing, vibration polishing and shot peening, are taken as research objects. An error compensation method for a Multi-stage machining deformation and the method of establishing the machining model and inspection model are proposed. The theoretical model required by the drawing is only used as the final inspection model, and according to the accumulation of subsequent processing errors, the process inspection model is modified by the final inspection model. Through the example verification, the method proposed in this paper can effectively reduce the false positive rate of the blade process inspection and ensure the qualified process inspection and final inspection.

Key words: multi-stage machining processes, machining error, error compensation, machining model, Inspection models

中图分类号:

V232.4

蔺小军, 崔彤, 杨碧颖, 杨锐, 辛晓鹏. 薄壁叶片叶型多工序加工检验模型建立方法[J]. 航空学报, 2019, 40(11): 423034-423034.

LIN Xiaojun, CUI Tong, YANG Biying, YANG Rui, XIN Xiaopeng. Method for establishing machining and inspection model of multi-stage machining processes of thin-walled blades[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019, 40(11): 423034-423034.

参考文献 22

[1]	蔺小军, 刘维维, 任军学, 等. 薄壁叶片加工变形误差补偿技术[J]. 航空制造技术, 2010(14):54-56. LIN X J, LIU W W, REN J X, et al. Deformation error compensation of manufacturing thin-wall blade[J]. Aeronautical Manufacturing Technology, 2010(14):54-56(in Chinese).
[2]	JIANG R S, ZHANG D H, BU K, et al. A deformation compensation method for wax pattern die of turbine blade[J]. International Journal of Advanced Manufacturing Technology, 2016, 88(9-12):1-9.
[3]	WANG M H, SUN Y. Error prediction and compensation based on interference-free tool paths in blade milling[J]. The International Journal of Advanced Manufacturing Technology, 2014, 71(5-8):1309-1318.
[4]	ALTINTAS Y, TUYSUZ O, HABIBI M, et al. Virtual compensation of deflection errors in ball end milling of flexible blades[J]. CIRP Annals, 2018, 67(1):365-368.
[5]	RATCHEV S, LIU S, BECKER A. Error compensation strategy in milling flexible thin-wall parts[J]. Journal of Materials Processing Technology, 2005, 162(10):673-681.
[6]	RATCHEV S, LIU S, HUANG, et al. An advanced FEA based force induced error compensation strategy in milling[J]. International Journal of Machine Tools & Manufacture, 2006, 46(5):542-551.
[7]	WANG G, LI W L, TONG G, et al. Improving the machining accuracy of thin-walled parts by online measuring and allowance compensation[J]. The International Journal of Advanced Manufacturing Technology, 2017, 92(5-8):2755-2763.
[8]	WANG G, LI W-L, RAO F H, et al. Multi-parameter optimization of machining impeller surface based on the on-machine measuring technique[J/OL]. Chinese Journal of Aeronautics, (2018-10-23)[2019-04-20]. https://doi.org/10.1016/j.cja.2018.09.005
[9]	单晨伟, 赵颖, 刘维伟, 等. 一种薄壁悬臂叶片数控加工非均匀余量刚度补偿方法[J]. 航空学报, 2013, 34(3):686-693. SHAN C W, ZHAO Y, LIU W W, et al. A nonuniform off-set surface rigidity compensation strategy in numerical controlled machining of thin-walled cantilever blades[J]. Acta Aeronautica et Astronautica Sinica, 2013, 34(3):686-693(in Chinese).
[10]	CHO M W, KIM G H, SEO T I, et al. Integrated machining error compensation method using OMM data and modified PNN algorithm[J]. International Journal of Machine Tools & Manufacture, 2006, 46(12):1417-1427.
[11]	万敏, 张卫红. 铣削过程中误差预测与补偿技术研究进展[J]. 航空学报, 2008, 29(5):1340-1349. WAN M, ZHANG W H, Overviews of technique research progress of form error prediction and error compensation in milling process[J]. Acta Aeronautica et Astronautica Sinica, 2008, 29(5):1340-1349(in Chinese).
[12]	CHEN W, XUE J, TANG D, et al. Deformation prediction and error compensation in multilayer milling processes for thin-walled parts[J]. International Journal of Machine Tools & Manufacture, 2009, 49(11):859-864.
[13]	CHEN H X, LI H, FENG H T, et al. Aero-engine blade deformation control of milling process[J]. Advanced Materials Research, 2011, 308-310:1198-2004.
[14]	蔺小军, 单晨伟, 王增强, 等. 航空发动机叶片型面三坐标测量机测量技术[J]. 计算机集成制造系统, 2012, 18(1):125-131. LIN X J, SHAN C W, WANG Z Q, et al. Measurement techniques of coordinate measuring machine for blade surface of aero-engine[J]. Computer Integrated Manufacturing Systems, 2012, 18(1):125-131(in Chinese).
[15]	蔺小军, 郭研, 吴广, 等. 等高法叶片型面CMM测量数据处理算法研究[J]. 仪器仪表学报, 2013, 34(11):2442-2450. LIN X J, GUO Y, WU G, et al. CMM measuring data processing algorithms for blades about the contour measurement[J]. Chinese Journal of Scientific Instrument, 2013, 34(11):2442-2450(in Chinese).
[16]	郑似玉, 滕金芳, 羌晓青. 叶片加工超差对高压压气机性能影响和敏感性分析[J]. 机械工程学报, 2018, 54(2):216-224. ZHENG S Y, TENG J F, QIANG X Q. Sensitivity analysis of manufacturing variability on high-pressure compressor performance[J]. Journal of Mechanical Engineering, 2018, 54(2):216-224(in Chinese).
[17]	YING Z, ZHANG D H, WU B H. An adaptive approach to error compensation by on-machine measurement for precision machining of thin-walled blade[C]//Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics. Piscataway, NI:IEEE Press, 2015:1356-1360.
[18]	KANG Y S, HASHIMOTO F, JOHNSON S P, et al. Discrete element modeling of 3D media motion in vibratory finishing process[J]. CIRP Annals-Manufacturing Technology, 2017, 66(1):313-316.
[19]	叶忠宇, 高晓斐, 李婷婷, 等. 航空发动机整体叶盘叶片预变形控制研究[J]. 航空制造技术, 2018, 61(15):96-102. YE Z Y, GAO X F, LI T T, et al. Pre-deformed control technology for high-pressure compressor of blisk blade[J]. Aeronautical Manufacturing Technology, 2018, 61(15):96-102(in Chinese).
[20]	李勋, 于建华, 赵鹏. 航空发动机叶片加工变形控制技术研究现状[J]. 航空制造技术, 2016, 59(21):41-49. LI X, YU J H, ZHAO P. Research status of machining deformation control method and technology of aeroengine blade[J]. Aeronautical Manufacturing Technology, 2016, 59(21):41-49(in Chinese).
[21]	YANG J N, BAI R X, DONG L Q, et al. Turbine blade CNC machining simulation analysis based on MATLAB and UG[J]. Advanced Materials Research, 2014, 1061-1062:837-840.
[22]	陈蔚芳, 楼佩煌, 陈华. 薄壁件加工变形主动补偿方法[J]. 航空学报, 2009, 30(3):570-576. CHEN W F, LOU P H, CHEN H. Active compensation methods of machining deformation of thin-walled parts[J]. Acta Aeronautica et Astronautica Sinica, 2009, 30(3):570-576(in Chinese).

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

薄壁叶片叶型多工序加工检验模型建立方法

Method for establishing machining and inspection model of multi-stage machining processes of thin-walled blades

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 22

相关文章 15

编辑推荐

Metrics

本文评价

[1]	张百川, 毕文豪, 张安, 毛泽铭, 杨咪. 基于Transformer模型的空战飞行器轨迹预测误差补偿方法[J]. 航空学报, 2023, 44(9): 327413-327413.
[2]	郑伟, 王禹淞, 姜坤, 王奕迪. X射线脉冲星导航方法研究综述[J]. 航空学报, 2023, 44(3): 527451-527451.
[3]	刘宗昊, 王海同, 杨宇伟, 蔡永林. 考虑材料去除效应的五轴铣削变形分析[J]. 航空学报, 2023, 44(13): 427977-427977.
[4]	路来骁, 徐长官, 刘建华, 秦美镇, 吕英波, 阎玉芹. 初始应力状态对薄壁件双侧滚压影响规律[J]. 航空学报, 2023, 44(10): 427415-427415.
[5]	岳彩旭, 张俊涛, 刘献礼, 陈志涛, Steven Y. LIANG, Lihui WANG. 薄壁件铣削过程加工变形研究进展[J]. 航空学报, 2022, 43(4): 525164-525164.
[6]	王大轶, 侯博文, 王炯琦, 葛东明, 李茂登, 徐超, 周海银. 航天器自主导航状态估计方法研究综述[J]. 航空学报, 2021, 42(4): 524310-524310.
[7]	王龙飞, 张丽艳, 叶南. 一种适用于曲面结构的机器人制孔误差在线补偿技术[J]. 航空学报, 2019, 40(10): 422871-422871.
[8]	骆长鑫, 张东洋, 雷虎民, 卜祥伟, 叶继坤. 输入受限的高超声速飞行器鲁棒反演控制[J]. 航空学报, 2018, 39(4): 321801-321801.
[9]	于建华, 陈志同. 双臂自适应夹具加工变形控制方法[J]. 航空学报, 2016, 37(5): 1657-1665.
[10]	丁岚, 毛新华, 朱岱寅. 基于两维空变滤波的PFA波前弯曲误差补偿[J]. 航空学报, 2015, 36(2): 605-613.
[11]	杨吟飞, 张峥, 李亮, 何宁, 赵威. 7085铝合金残余应力及加工变形的数值仿真与试验[J]. 航空学报, 2014, 35(2): 574-581.
[12]	胡开宇, 艾力·玉苏甫, 徐雪林, 项斌斌, 刘奇. 卡氏天线副面补偿技术中副面焦点坐标调整量的高精度数据拟合[J]. 航空学报, 2014, 35(12): 3425-3437.
[13]	杨建华, 张定华, 吴宝海. 考虑加工过程的复杂薄壁件加工综合误差补偿方法[J]. 航空学报, 2014, 35(11): 3174-3181.
[14]	任磊, 杜建邦, 王美娥. 旋转惯导中加速度计尺寸效应误差分析及补偿[J]. 航空学报, 2013, 34(6): 1424-1435.
[15]	杨静, 冀红霞, 魏明坤. 一种非线性滤波器的误差分析及应用[J]. 航空学报, 2011, 32(8): 1469-1477.