CFRP制孔过程中轴向力自适应控制仿真及实验研究

詹迪雷; 李鹏南; 邱新义; 牛秋林; 李树健

doi:10.13433/j.cnki.1003-8728.20220221

CFRP制孔过程中轴向力自适应控制仿真及实验研究

doi: 10.13433/j.cnki.1003-8728.20220221

1.
湖南科技大学机电工程学院, 湖南湘潭　411201

基金项目: 国家自然科学基金项目（51775184，51975208）与国家自然科学青年科学基金项目（52105442）

详细信息

作者简介:
詹迪雷，硕士研究生，zhandileiZDL@163.com

通讯作者:
李鹏南，教授，博士生导师，博士，2002lpn@163.com

中图分类号: TG506
计量
- 文章访问数: 29
- HTML全文浏览量: 8
- PDF下载量: 0
- 被引次数: 0
出版历程
- 收稿日期: 2021-12-16
- 刊出日期: 2024-03-25

Simulation and Experimental Study on Axial Force Adaptive Control in CFRP Hole-making Process

1.
School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, Hu'nan, China

摘要

摘要: 钻削轴向力的大小和碳纤维增强树脂基复合材料（Carbon fiberrein-forced plastic, CFRP）制孔质量的好坏密切相关，为合理调控轴向力来减少制孔缺陷，开展了CFRP制孔过程中轴向力的自适应控制仿真及实验研究。首先，开展CFRP钻削试验，对轴向力及制孔质量进行了定量研究。其次，根据CFRP钻入、稳定钻削及钻出阶段不同加工特性建立了轴向力三阶段模型。最后，基于模糊逻辑及所建模型进行了轴向力自适应控制仿真及实验研究。结果表明：利用模糊逻辑控制算法结合CFRP加工特性，对制孔过程中轴向力进行智能调控是可行的；此外，根据仿真信息调控轴向力可有效降低制孔缺陷、提升孔壁质量。该研究为大厚度碳纤维复合材料制孔过程中轴向力的智能调控提供了新的思路。
- CFRP制孔 /
- 分层 /
- 仿真 /
- 模糊控制
Abstract: The axial force of drilling is closely related to the quality of CFRP hole-making. In order to reasonably control the axial force to reduce hole-making defects, the simulation and experimental study on the axial force adaptive control in CFRP hole-making process were carried out. Firstly, the axial force and hole-making quality were quantitatively studied through CFRP drilling experiments. Secondly, a three-stage axial force model was established by considering the different machining characteristics of CFRP in the drilling entry stage, steady drilling stage and drilling out stage. Finally, the simulation and experimental study on the axial force adaptive control was carried out based on the three-stage model and fuzzy logic. The results show that it is feasible to control the axial force intelligently by using the fuzzy logic control algorithm and combining with CFRP processing characteristics. In addition, adjusting the axial force according to the simulation information can effectively reduce the hole-making defects and improve the hole wall quality. It provides a new idea for intelligent control of axial force in hole-making process of large thickness carbon fiber composites.
- CFRP hole-making /
- delamination /
- simulation /
- fuzzy control

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图 1 钻削实验平台

Figure 1. The platform for drilling experiments

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图 2 CFRP制孔过程中分层损伤缺陷

Figure 2. Delamination damage defect during CFRP drilling process

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图 3 出口毛刺

Figure 3. Burr at the exit

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图 4 出口表面损伤

Figure 4. Surface damage at the exit

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图 5 加工结果随参数变化关系图

Figure 5. Relationship between machining results and parameter variation

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图 6 麻花钻钻削CFRP轴向力信号分段图

Figure 6. Sectional diagram of thrust force signal of CFRP drilling with twist drill

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图 7 基于SIMULINK的CFRP钻削过程轴向力模型仿真框图

Figure 7. Simulation block diagram of thrust force model for CFRP drilling process based on SIMULINK

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图 8 实测信号曲线与轴向力模型曲线对比

Figure 8. Comparison between measured signal curve and thrust force model curve

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图 9 基于SIMULINK的CFRP钻削过程轴向力模糊控制仿真框图

Figure 9. Block diagram for fuzzy control simulation of thrust force in CFRP drilling process based on SIMULINK

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图 10 进给量调整曲线

Figure 10. Feed rate adjustment curve

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图 11 CFRP钻削过程轴向力模糊控制结果图

Figure 11. Fuzzy control results of thrust force in CFRP drilling process

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图 12 基于表2信息的实测轴向力信号与仿真结果对比图

Figure 12. Comparison between measured thrust force signals and simulation results based on the information in table 2

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图 13 CFRP常规加工与调控轴向力加工制孔质量对比

Figure 13. Comparison of hole quality between conventional machining and thrust force control machining of CFRP

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表 1 T700碳纤维基本力学性能

Table 1. Fundamental mechanical properties of T700 carbon fiber

参数		数值
纤维体积含量V_f		60
纤维束		Ø7 μm/丝，12 000根/束
碳纤维泊松比v_f		0.307
碳纤维弹性模量E_f /GPa		2.9 × 10¹¹
碳纤维剪切强度τ_f /MPa		1.25 × 10⁸
基体抗压强度P_b /MPa		7.47 × 10⁷
CFRP单层板	X_T/MPa	5.49 × 10⁶
	X_C/MPa	3 × 10⁶
	Y_T/MPa	8.4 × 10⁷
	Y_C/MPa	2.5 × 10⁸
	S/MPa	6 × 10⁷

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表 2 目标轴向力控制下的CFRP钻削刀具路径规划表

Table 2. Planning table for CFRP drilling tool path under target thrust force control

时间/ s	进给速度/ （mm·min⁻¹）	位置信息/ mm	时间/ s	进给速度/ （mm·min⁻¹）	位置信息/ mm	时间/ s	进给速度/ （mm·min⁻¹）	位置信息/ mm
0	60.00	0	9	7.50	2.6042	18	12.50	4.1459
1	60.00	1.0000	10	8.750	2.7500	19	12.50	4.3542
2	25.00	1.4167	11	8.750	2.8958	20	12.50	4.5625
3	17.50	1.7084	12	10.00	3.0625	21	13.75	4.7917
4	12.50	1.9167	13	10.00	3.2292	22	17.50	5.0833
5	10.00	2.0834	14	10.00	3.3959	23	27.50	5.5416
6	8.75	2.2292	15	10.00	3.5626	24	35.00	6.1249
7	7.50	2.3542	16	11.25	3.7501	25	45.00	6.8749
8	7.50	2.4792	17	11.25	3.9376	26	50.00	7.200
注：位置信息表示当前时刻麻花钻钻尖顶部距CFRP层合板上表面距离。

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表 3 n = 2500 r/min下两种加工方式孔壁表面加工质量对比

Table 3. Comparison of hole wall surface machining quality between two machining methods at n = 2 500 r/min

评定标准	制孔方式
评定标准	传统制孔	调控轴向力制孔
轮廓算术平均偏差R_a/μm	3.540	0.808
微观轮廓波峰波谷之和R_z/μm	18.632	4.615

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参考文献(15)

[1]	张厚江, 陈五一, 陈鼎昌. 碳纤维复合材料钻削孔分层缺陷的研究[J]. 中国机械工程, 2003, 14(22): 1978-1980. ZHANG H J, CHEN W Y, CHEN D C. Investigation on delamination defect of hole drilling of CFRP[J]. China Mechanical Engineering, 2003, 14(22): 1978-1980. (in Chinese)
[2]	YAŞAR N, GÜNAY M. Experimental investigation on novel drilling strategy of CFRP laminates using variable feed rate[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2019, 41(3): 150. doi: 10.1007/s40430-019-1658-2
[3]	GENG D X, LIU Y H, SHAO Z Y, et al. Delamination formation, evaluation and suppression during drilling of composite laminates: a review[J]. Composite Structures, 2019, 216: 168-186. doi: 10.1016/j.compstruct.2019.02.099
[4]	王涛, 王盛, 张立峰. CFRP高速铣削渐进损伤切削力模型研究[J]. 机械科学与技术, 2020, 39(5): 736-742. doi: 10.13433/j.cnki.1003-8728.20190148 WANG T, WANG S, ZHANG L F. Research of cutting force model for progressive damage in high speed milling of CFRP[J]. Mechanical Science and Technology for Aerospace Engineering, 2020, 39(5): 736-742. (in Chinese) doi: 10.13433/j.cnki.1003-8728.20190148
[5]	PHAPALE K, SINGH R, SINGH R K P. Comparative assessment of delamination control techniques in conventional drilling of CFRP[J]. Procedia Manufacturing, 2020, 48: 123-130. doi: 10.1016/j.promfg.2020.05.028
[6]	CHEN W C. Some experimental investigations in the drilling of carbon fiber-reinforced plastic (CFRP) composite laminates[J]. International Journal of Machine Tools and Manufacture, 1997, 37(8): 1097-1108. doi: 10.1016/S0890-6955(96)00095-8
[7]	LAZAR M B, XIROUCHAKIS P. Experimental analysis of drilling fiber reinforced composites[J]. International Journal of Machine Tools and Manufacture, 2011, 51(2): 937-946.
[8]	HEISEL U, PFEIFROTH T. Influence of point angle on drill hole quality and machining forces when drilling CFRP[J]. Procedia CIRP, 2012, 1: 471-476. doi: 10.1016/j.procir.2012.04.084
[9]	LI P N, QIU X Y, LI C P, et al. Hole exit damage and tool wear during the drilling of CFRP with a double-point angle drill[J]. Journal of Mechanical Science and Technology, 2019, 33(5): 2363-2370. doi: 10.1007/s12206-019-0436-5
[10]	GAITONDE V N, KARNIK S R, RUBIO J C, et al. Analysis of parametric influence on delamination in high-speed drilling of carbon fiber reinforced plastic composites[J]. Journal of Materials Processing Technology, 2008, 203(1-3): 431-438. doi: 10.1016/j.jmatprotec.2007.10.050
[11]	KAWAJI S, ARAO M, CHEN Y. Thrust force control of drilling system using neural network[C]// Proceedings of 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Como, Italy: IEEE, 2001: 476-481.
[12]	ROMOLI L, LUTEY A H A. Quality monitoring and control for drilling of CFRP laminates[J]. Journal of Manufacturing Processes, 2019, 40: 16-26. doi: 10.1016/j.jmapro.2019.02.028
[13]	HO-CHENG H, DHARAN C K H. Delamination during drilling in composite laminates[J]. Journal of Engineering for Industry, 1990, 112(3): 236-239. doi: 10.1115/1.2899580
[14]	郭璧玺, 王伟, 陶小松, 等. 考虑驾驶员特性的智能车辆纵向车速跟随控制策略[J]. 机械科学与技术, 2021, 40(5): 694-700. doi: 10.13433/j.cnki.1003-8728.20200125 GUO B X, WANG W, TAO X S, et al. An intelligent vehicle longitudinal speed following control strategy with driver characteristics considered[J]. Mechanical Science and Technology for Aerospace Engineering, 2021, 40(5): 694-700. (in Chinese) doi: 10.13433/j.cnki.1003-8728.20200125
[15]	赵伟, 王志远, 周志立. 载重汽车连续下坡弯道路段制动稳定性仿真研究[J]. 中国机械工程, 2010, 21(16): 2010-2015. ZHAO W, WANG Z Y, ZHOU Z L. Simulation research on truck braking stability on turn of an continuous downgrade[J]. China Mechanical Engineering, 2010, 21(16): 2010-2015. (in Chinese)