航空发动机复合材料叶片切削加工智能装夹系统

doi:10.7527/S1000-6893.2023.28987

Abstract

Abstract:

After hot pressing molding of aeroengine composite blades， the profile error is large and the rigidity is weak， and the clamping of the blade in the tenon root milling and blade edge trimming poses significant challenge. Therefore， it is often necessary to reconstruct the profile through scanning and regenerate CNC machining codes， which leads to complex processing processes and non-universal CNC processing files， and thus， seriously affects the batch production efficiency. In this paper， a multi-point adaptive clamping and attitude adjustment system for aircraft composite blade machining is proposed. This system employs flexible array tooling with separate positioning and clamping， using elastic suction cups for clamping， and rigid locators for positioning to ensure high accuracy of the molded surface after tightening and positioning. Results show that the system can automatically adjust the machining position and posture according to the error of blade profile and tenon root. Results also show that this system can ensure that the tenon root and edges meet the performance requirements without modifying the CNC machining code； therefore， greatly reduces the difficulty of blade cutting and improves the machining efficiency.

Key words: flexible fixture, multi-point support, aeroengine blade, composite, cutting process

CLC Number:

V263

Deli ZHANG, Zheng QIN, Zhe LIU, Ming LI, Kai HE. Intelligent clamping system for machining composite blades of aeroengines[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(20): 428987-428987.

Figures/Tables 16

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

Fig.9

Fig.10

Fig.11

Table 1

Fig.12

Fig.13

Fig.14

Table 2

References 20

1	邵帅，曹航，王相平，等. 航空发动机复合材料风扇叶片强度分析与铺层优化设计［J］. 燃气涡轮试验与研究， 2022， 35（4）： 20-25.
	SHAO S， CAO H， WANG X P， et al. Strength analysis and ply optimization design of composite fan blades for aero-engine［J］. Gas Turbine Test and Research， 2022， 35（4）： 20-25 （in Chinese）.
2	周何，李小兵，张婷，等. 航空发动机复合材料风扇叶片制造工艺应用进展［J］. 航空制造技术， 2022， 65（13）： 84-91.
	ZHOU H， LI X B， ZHANG T， et al. Progress in manufacturing technology and application of aeroengine composite fan blades［J］. Aviation Manufacturing Technology， 2022， 65（13）： 84-91 （in Chinese）.
3	朱启晨. 复合材料风扇叶片的铺层设计及有限元分析技术研究［D］. 上海：上海交通大学， 2018： 20-25.
	ZHU Q C. Research on lamination design and finite element analysis of composite fan blades［D］. Shanghai： Shanghai Jiaotong University， 2018： 20-25 （in Chinese）.
4	黄云，李少川，肖贵坚，等. 航空发动机叶片材料及抗疲劳磨削技术现状［J］. 航空材料学报， 2021， 41（4）： 17-35.
	HUANG Y， LI S C， XIAO G J， et al. Present situation of aero-engine blade material and anti-fatigue grinding technology［J］. Journal of Aeronautical Materials， 2021， 41（4）： 17-35 （in Chinese）.
5	张婷. 航空薄壁件装夹布局优化研究［D］. 南昌：南昌航空大学， 2017：36-42.
	ZHANG T. Research on the optimization of the clamping layout of aviation thin-walled parts［D］. Nanchang： Nanchang Hangkong University， 2017：36-42 （in Chinese）.
6	ARSLANE M， SLAMANI M， CHATELAIN J F. Development and validation of a machining fixture for complex-shaped components based on Plückerian matrix approach and SDT concept［J］. The International Journal of Advanced Manufacturing Technology， 2021， 25（5）： 1-20.
7	王辉，周明星，余杰，等. 航空发动机叶片保形加工中的定位误差数值建模与分析［J］. 计算机集成制造系统， 2016， 22（9）： 2118-2126.
	WANG H， ZHOU M X， YU J， et al. Numerical modeling and analysis of positioning error in conformal machining of aeroengine blades［J］. Computer Integrated Manufacturing System， 2016， 22（9）： 2118-2126 （in Chinese）.
8	张凱尧. 航空发动机精锻叶片铣削工装结构分析与优化设计［D］. 烟台：烟台大学， 2020：54-66.
	ZHANG K Y. Structural analysis and optimal design of milling tooling for aero-engine precision forged blades［D］. Yantai： Yantai University， 2020：54-66 （in Chinese）.
9	任军学，冯亚洲，米翔畅，等. 航空发动机精锻叶片自适应数控加工技术［J］. 航空制造技术， 2015，22 （4）： 52-55.
	REN J X， FENG Y Z， MI X C， et al. Adaptive NC machining technology for aero-engine precision forged blades［J］. Aviation Manufacturing Technology， 2015， 22（4）： 52-55 （in Chinese）.
10	陈文亮，潘国威，丁力平. 飞机数字化装配技术发展现状［J］. 航空制造技术， 2016，28（8）： 26-30.
	CHEN W L， PAN G W， DING L P. Development status of aircraft digital assembly technology［J］. Aviation Manufacturing Technology， 2016，28（8）： 26-30 （in Chinese）.
11	吴志新，昂给拉玛，甘丽君. 航空发动机叶片数控加工新技术及应用［J］. 航空制造技术， 2018， 61（15）： 63-68.
	WU Z X， ANGGEI L M， GAN L J. New technology and application of aero-engine blade NC machining［J］. Aviation Manufacturing Technology， 2018， 61（15）： 63-68 （in Chinese）.
12	MARSH G. Composites get in deep with new-generation engine［J］. Reinforced Plastics， 2006， 50（11）： 26-29.
13	房建国，马艳玲，李迪，等. 发动机叶片椭圆进排气边智能磨削加工检测一体化技术［J］. 航空精密制造技术， 2016， 52（6）： 1-6.
	FANG J G， MA Y L， LI D， et al. Integrated technique for intelligent grinding， machining and detection of engine blade elliptic inlet and exhaust edges［J］ Aviation Precision Manufacturing Technology， 2016， 52（6）： 1-6 （in Chinese）.
14	宋超. 航空发动机复合材料叶片设计及成形技术研究［D］. 南京：南京航空航天大学， 2014：34-39.
	SONG C. Research on composite blade design and forming technology of aero-engine［D］. Nanjing： Nanjing University of Aeronautics and Astronautics， 2014： 34-39 （in Chinese）
15	屈力刚，陈国涛，苏长青，等. 飞机壁板真空吸盘式柔性装配工装系统设计［J］. 沈阳航空航天大学学报， 2014， 31（6）： 36-41.
	QU L G， CHEN G T， SU C Q， et al. Design of vacuum sucker flexible assembly tooling system for aircraft panel［J］. Journal of Shenyang University of Aeronautics and Astronautics， 2014， 31（6）： 36-41 （in Chinese）.
16	吴锡. 机翼薄壁件自动刮胶设备的设计研究［D］. 天津：河北工业大学， 2020： 28-32.
	WU X. Design and research of automatic glue scraping equipment for thin-walled wing parts［D］. Tianjin： Hebei University of Technology， 2020：28-32 （in Chinese）.
17	王涛，李战，王盛，等. 基于散斑视觉测量的叶片模型重构［J］. 激光与光电子学进展， 2019， 56（1）： 232-241.
	WANG T， LI Z， WANG S， et al. Blades model reconstruction based on speckle vision measurement［J］. Laser & Optoelectronics Progress， 2019， 56（1）： 232-241 （in Chinese）.
18	冯亚洲. 航空发动机精锻叶片自适应加工工艺几何模型构建［D］. 西安：西北工业大学， 2018： 34-39.
	FENG Y Z. Construction of adaptive machining process geometric model for aero-engine precision forged blades［D］. Xi’an： Northwest Polytechnic University，2018： 34-39 （in Chinese）.
19	FENG Y， REN J， LIANG Y. Prediction and reconstruction of edge shape in adaptive machining of precision forged blade［J］. The International Journal of Advanced Manufacturing Technology， 2018， 96（5-8）： 2355-2366.
20	张伟锋. 斯皮尔曼简捷相关系数与基尼伽玛相关系数的统计特性分析［D］. 广州：广东工业大学， 2020： 57-64.
	ZHANG W F. Analysis of statistical characteristics of Spearman simple correlation coefficient and Gini gamma correlation coefficient［D］. Guangzhou： Guangdong University of Technology， 2020： 57-64 （in Chinese）.

定位器编号	支撑力/N
30	58.584
16	42.516
17	36.066
26	33.046

[1]	Yulian GONG, Jianguo ZHANG, Zhigang WU, Guangyuan CHU, Xiaoduo FAN, Ying HUANG. Reliability algorithm of composite structure based on active learning basis-adaptive PC-Kriging model [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(8): 228982-228982.
[2]	Wenbin JIA, Lei FANG, Gen ZHANG, Jian SHI, Zekan HE, Haijun XUAN. Optimal design of fracture toughness for CNT⁃epoxy composites [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(7): 428971-428971.
[3]	Chunyun ZHANG, Xiongbin CHEN, Jian LIU, Miao CUI. Prediction of thermo⁃physical properties of inorganic⁃organic hybrid phenolic aerogel composites [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(6): 428848-428848.
[4]	Lingcai HUANG. Review of nondestructive testing methods for fiber⁃reinforced polymer composites [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(5): 529697-529697.
[5]	Zhiting GAO, Zhuang MA, Yanbo LIU. Effect of CVD-SiC array structure on ablation resistance of ZrB₂/SiC coatings [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(3): 428842-428842.
[6]	Chao ZHANG, Yong CAO, Zhenqiang ZHAO, Haiyang ZHANG, Jianbo SUN, Zhihua WANG, Duokui YU. Applications and key challenges of polymer composites in civil aero⁃engines: State⁃of⁃art review [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(2): 28556-028556.
[7]	Ying MA, Ao CHEN, Congying DENG, Xiang CHEN, Sheng LU, Xianjun ZENG. A multiscale mesh generation method for textile composite [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(10): 429180-429180.
[8]	Qian YANG, Yanzhe WANG, Di YANG, Zezhong LI, Weiwei QU. Prediction and planning of automatic laying speed for fiber reinforced composite materials based on data⁃driven model [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(10): 429313-429313.
[9]	Hongyue WANG, Bing WANG, Guodong FANG, Songhe MENG. Digital element modelling and analysis of 2.5D woven shallow cross bending composites [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(9): 227478-227478.
[10]	Jian HAN, Shiyong SUN, Bin NIU, Rui YANG, Dongjiang WU. Progress in manufacturing technologies of resin⁃based composite lattice structures [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(9): 628255-628255.
[11]	Qingcai ZHANG, Song LIU, Qinqin WANG, Xiaoming TAN, Jingzhou ZHANG, Wen GUO. Experiment on composite rim seal with deep cavity in static disc and modified platform [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(5): 126719-126719.
[12]	Liping LIU, Yuyang QI, Yueguo LIN, Rui BAO, Jianxin XU, Zhenyu FENG, Guanghui QING. Tensile failure of carbon fiber composite material bonded-rivet hybrid repaired structure [J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(24): 428676-428676.
[13]	Xiaoping LI, Min YANG, Bo YAO, Yanming LIU, Lei SHI, Haoyan LIU, Chengguang LI. Reliable communication technologies of reusable launch vehicles in cooperation with satellite during re-entry [J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(23): 628906-628906.
[14]	Ruifeng LIU, Xiaozhe SUN, Wenhui LI, Xian WANG, Jie YAN. Microcrack healing mechanism and microstructure properties of SiC/Al composites modified by high frequency pulse current [J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(22): 428598-428598.
[15]	Junchao YANG, Xueming WANG, Xiangming CHEN, Peng ZOU, Zhe WANG. Effect of low-velocity impact damage on compressive properties of composite stiffened panels [J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(20): 228498-228498.

Intelligent clamping system for machining composite blades of aeroengines

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 16

References 20

Related Articles 15

Recommended Articles

Metrics

Comments