超声赋能仿生微织构刀具微量润滑车削钛合金Ti-6Al-4V力模型与实验验证

doi:10.3901/JME.260431

机械工程学报 ›› 2026, Vol. 62 ›› Issue (9): 394-407.doi: 10.3901/JME.260431

• 制造工艺与装备 • 上一篇

扫码分享

超声赋能仿生微织构刀具微量润滑车削钛合金Ti-6Al-4V力模型与实验验证

王晓铭¹, 刘纪新², 杨敏¹, 刘明政¹, 张彦彬¹, 李本凯¹, 吴会军³, 徐英杰⁴, 别清峰⁵, 殷显鑫⁵, 侯亚丽¹, 李长河^1,6

1. 青岛理工大学教育部工业流体节能与污染控制重点实验室青岛 266520;
2. 青岛黄海学院智能制造学院青岛 266427;
3. 广州大学土木与交通工程学院广州 510006;
4. 浙江工业大学机械工程学院杭州 310014;
5. 海信空调有限公司青岛 266736;
6. 青岛即墨青理智能制造产业研究院青岛 266200

收稿日期:2025-05-19 修回日期:2025-10-09 发布日期:2026-07-08
作者简介:王晓铭，男，1997年出生，博士研究生。主要研究方向为洁净精密制造。E-mail：qd_wangxiaoming@163.com;李长河(通信作者)，男，1966年出生，博士，教授，博士研究生导师。主要研究方向为智能与洁净精密制造。E-mail：sy_lichanghe@163.com
基金资助:
山东省自然科学基金(ZR2023QE057)、国家自然科学基金(52375447，52475469，52305477)、山东省自然科学基金(ZR2024QE100，ZR2024ME 205)和山东省泰山学者人才支持计划资助项目。

Mechanical Model and Experimental Verification for Minimum Quantity Lubrication Turning Titanium Alloy Ti-6Al-4V with Biomimetic Textured Tools Empowered by Ultrasonic

WANG Xiaoming¹, LIU Jixin², YANG Min¹, LIU Mingzheng¹, ZHANG Yanbin¹, LI Benkai¹, WU Huijun³, XU Yingjie⁴, BIE Qingfeng⁵, YIN Xianxin⁵, HOU Yali¹, LI Changhe^1,6

1. Key Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266520;
2. College of Intelligent Manufacturing, Qingdao Huanghai University, Qingdao 266427;
3. School of Civil Engineering and Transportation, Guangzhou University, Guangzhou 510006;
4. College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014;
5. Hisense Air-Conditioning Co., Ltd., Qingdao 266736;
6. Qingdao Jimo Qingli Intelligent Manufacturing Industry Research Institute, Qingdao 266200

Received:2025-05-19 Revised:2025-10-09 Published:2026-07-08

摘要/Abstract

摘要： 钛合金是飞机主体结构及发动机部件中不可或缺的关键金属材料。在钛合金零件的机械制造流程中，切削是典型的加工手段。然而，连续车削时刀具与工件界面的润滑剂有效浸润不足和切削力过大导致刀具严重磨损，是其加工的主要瓶颈。超声赋能仿生织构刀具微量润滑车削工艺有望解决钛合金切削过程刀具磨损难题。然而，新工艺的材料去除机理及其力学行为尚不明确。基于此，建立了超声赋能仿生微织构刀具纳米流体微量润滑车削加工材料去除力学模型，阐明了超声参数的瞬时切削厚度、瞬时切削速度、瞬时剪切角及瞬时刀具切屑接触状态的材料去除特征，构建了多工况的切削力预测技术路线，分析了输入参数与切削速度对切削力的影响规律。在干切削、纳米流体微量润滑(NMQL)、仿生织构刀具纳米流体微量润滑(T-NMQL)和超声赋能仿生织构刀具纳米流体微量润滑(UVT-NMQL)四种实验条件下，钛合金Ti-6Al-4V材料单位面积材料去除的切削力分别为2 504.18 N/mm²、2 255.85 N/mm²、2 074.71 N/mm²和803.67 N/mm²。在UVT-NMQL工况下，预测模型与实验结果表现出一致的变化趋势，当切削速度增加时，切削力增大，模型平均偏差为7.46%。基于材料去除机制所建立的超声赋能仿生织构刀具微量润滑车削力预测模型，可为工业界与学术界提供理论指导与技术支持。

关键词: 切削力, 微量润滑, 超声振动, 织构刀具, 力模型

Abstract: Titanium alloy is a crucial metallic material indispensable for the main structure of aircraft and engine components. In the mechanical manufacturing process of titanium alloy parts, cutting is a typical processing method. However, insufficient effective infiltration of lubricant at the interface between the tool and the workpiece during continuous turning and excessive cutting force lead to severe tool wear, which are the main bottlenecks in its machining. The turning process of ultrasonic-energized bionic texture tools with minimum quantity lubrication is expected to solve the problem of tool wear during titanium alloy cutting. Nevertheless, the material removal mechanism and mechanical behavior of the new process are still unclear. Based on this, a mechanical model for material removal in the turning process of UVT-NMQL is established. The material removal characteristics of ultrasonic parameters such as instantaneous cutting thickness, instantaneous cutting speed, instantaneous shear angle, and instantaneous tool-chip contact state are clarified. A technical route for cutting force prediction under multiple working conditions is constructed, and the influence laws of input parameters and cutting speed on the cutting force are analysed. Under four experimental conditions of dry cutting, NMQL, T-NMQL, and UVT-NMQL, the cutting forces per unit area of material removal for the titanium alloy Ti-6Al-4V material are 2 504.18 N/mm², 2 255.85 N/mm², 2 074.71 N/mm², and 803.67 N/mm², respectively. Under the UVT-NMQL condition, the prediction model and the experimental results show that a consistent trend of change. When the cutting speed increased, the cutting force increased, and the average deviation of the model is 7.46%. The prediction model of turning force for UVT-NMQL established based on the material removal mechanism can provide theoretical guidance and technical support for both the industrial and academic fields.

Key words: cutting force, minimum quantity lubrication, ultrasonic vibration, textured cutting tools, mechanical model

中图分类号:

TG506

王晓铭, 刘纪新, 杨敏, 刘明政, 张彦彬, 李本凯, 吴会军, 徐英杰, 别清峰, 殷显鑫, 侯亚丽, 李长河. 超声赋能仿生微织构刀具微量润滑车削钛合金Ti-6Al-4V力模型与实验验证[J]. 机械工程学报, 2026, 62(9): 394-407.

WANG Xiaoming, LIU Jixin, YANG Min, LIU Mingzheng, ZHANG Yanbin, LI Benkai, WU Huijun, XU Yingjie, BIE Qingfeng, YIN Xianxin, HOU Yali, LI Changhe. Mechanical Model and Experimental Verification for Minimum Quantity Lubrication Turning Titanium Alloy Ti-6Al-4V with Biomimetic Textured Tools Empowered by Ultrasonic[J]. Journal of Mechanical Engineering, 2026, 62(9): 394-407.

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: http://www.cjmenet.com.cn/CN/10.3901/JME.260431

http://www.cjmenet.com.cn/CN/Y2026/V62/I9/394

参考文献

[1] SARAF G，IMAM S，NIRALA CK. Machinability analysis of additively manufactured Ti6Al4V using micro-pillar textured tool under various cutting fluid strategies[J]. Wear，2024，556-557：205514.
[2] JIANG XY，DING JF，WANG CW，et al. Influence of tool wear on geometric surface modeling for TC4 titanium alloy milling[J]. Journal of Manufacturing Processes，2024，131：797-814.
[3] SIRIN E，YILDIRIM CV，SIRIN S，et al. Comprehensive analysis of cutting temperature，tool wear，surface integrity and tribological properties in sustainable milling of Ti6Al4V alloy：LN2，nanofluid and hybrid machining[J]. Journal of Manufacturing Processes，2024，131：1360-1371.
[4] 刘德伟，许芝令，李长河，等. 端面铣削工件表面粗糙度数学模型与实验验证[J]. 表面技术，2024，53(4)：125-139. LIU Dewei，XU Zhiling，LI Changhe，et al. Mathematical model and experimental verification of workpiece surface roughness in face milling[J]. Surface Technology，2024，53(4)：125-139.
[5] ULLAH I，AKINLABI ET，SONGMENE V，et al. A multiscale finite element modeling for predicting the surface integrity induced by thermo-mechanical loads during high-speed milling of Ti-6Al-4V[J]. CIRP Journal of Manufacturing Science and Technology，2024，52：246-263.
[6] 施壮，李长河，刘德伟，等. 不等螺旋角立铣刀瞬时铣削力模型与验证[J]. 机械工程学报，2024，60(15)：393-406. SHI Zhuang，LI Changhe，LIU Dewei，et al. Instantaneous milling force model and verification of unequal helix angle end mill[J]. Journal of Mechanical Engineering，2024，60(15)：393-406.
[7] 关集俱，徐正亚，杨兰玉，等. 纳米微囊砂轮磨削工件表面自润滑层的形成[J]. 中国表面工程，2024，37(1)：254-266. GUAN Jiju，XU Zhengya，YANG Lanyu，et al. Formation of self-lubricating layer on workpiece surface ground by nano-encapsulated grinding wheel[J]. China Surface Engineering，2024，37(1)：254-266.
[8] 毛聪，孙鹏程，唐伟东，等. 磨削白层特性及其与声发射信号的相关性[J]. 机械工程学报，2023，59(9)：349-359. MAO Cong，SUN Pengcheng，TANG Weidong，et al. Features of grinding white layer and its correlation with acoustic emission signal[J]. Journal of Mechanical Engineering，2023，59(9)：349-359.
[9] 许文昊，李长河，张彦彬，等. 静电雾化微量润滑研究进展与应用[J]. 机械工程学报，2023，59(7)：110-138. XU Wenhao，LI Changhe，ZHANG Yanbin，et al. Research progress and application of electrostatic atomization minimum quantity lubrication[J]. Journal of Mechanical Engineering，2023，59(7)：110-138.
[10] 吴喜峰，许文昊，马浩，等. 静电雾化机理及微量润滑铣削7075铝合金表面质量评价[J]. 表面技术，2023，52(6)：337-350. WU Xifeng，XU Wenhao，MA Hao，et al. Mechanism of electrostatic atomization and surface quality evaluation of 7075 aluminum alloy under electrostatic minimum quantity lubrication milling[J]. Surface Technology，2023，52(6)：337-350.
[11] SHOKRANI A，ARRAZOLA PJ，BIERMANN D，et al. Sustainable machining：Recent technological advances[J]. CIRP Annals-Manufacturing Technology，2024，73(2)：483-508.
[12] KHANNA N，SHAH PS，SINGLA AK，et al. Comparison of VT-20 alloy drilling performance evaluation under dry，MQL，EMQL，and hybrid nanoparticle assisted EMQL ecological conditions[J]. Tribology International，2024，199：14.
[13] 吴淑晶，王大中，谷顾全，等. 多种能场高性能加工复杂曲面关键技术研究进展[J]. 机械工程学报，2024，60(9)：152-167. WU Shujing，WANG Dazhong，GU Guquan，et al. High- performance machining of complex curved surfaces in multi-energy fields：Key technologies and advancements[J]. Journal of Mechanical Engineering，2024，60(9)：152-167.
[14] 王晓铭，李长河，杨敏，等. 纳米生物润滑剂微量润滑加工物理机制研究进展[J]. 机械工程学报，2024，60(9)：286-322. WANG Xiaoming，LI Changhe，YANG Min，et al. Research progress on the physical mechanism of minimum quantity lubrication machining with nano- biolubricants[J]. Journal of Mechanical Engineering，2024，60(9)：286-322.
[15] 施壮，郭树明，刘红军，等. 生物润滑剂微量润滑磨削GH4169镍基合金性能实验评价[J]. 表面技术，2021，50(12)：71-84. SHI Zhuang，GUO Shuming，LIU Hongjun，et al. Experimental evaluation of minimum quantity lubrication of biological lubricant on grinding properties of GH4169 nickel-base alloy[J]. Surface Technology，2021，50(12)：71-84.
[16] 刘明政，李长河，张彦彬，等. 低温冷风微量润滑磨削钛合金换热机理与对流换热系数模型[J]. 机械工程学报，2023，59(23)：343-357. LIU Mingzheng，LI Changhe，ZHANG Yanbin，et al. Heat transfer mechanism and convective heat transfer coefficient model of cryogenic air minimum quantity lubrication grinding titanium alloy[J]. Journal of Mechanical Engineering，2023，59(23)：343-357.
[17] 关集俱，祝正兵，徐正亚，等. CNTs@T321微囊制备的纳米流体与砂轮磨削时的双重润滑增效机制[J]. 机械工程学报，2024，60(9)：351-363. GUAN Jiju，ZHU Zhengbing，XU Zhengya，et al. Dual synergistic lubrication mechanism of nano-fluid and grinding wheel prepared by CNTs@T321 nano- capsules[J]. Journal of Mechanical Engineering，2024，60(9)：351-363.
[18] SUGIHARA T，KOBAYASHI R，ENOMOTO T. Direct observations of tribological behavior in cutting with textured cutting tools[J]. International Journal of Machine Tools & Manufacture，2021，168：103726.
[19] ÖZEL T，BIERMANN D，ENOMOTO T，et al. Structured and textured cutting tool surfaces for machining applications[J]. CIRP Annals-Manufacturing Technology，2021，70(2)：495-518.
[20] MAO C，WANG JL，ZHANG MJ，et al. Prediction of grinding force by an electroplated grinding wheel with orderly-micro-grooves[J]. Chinese Journal of Mechanical Engineering，2023，36(1)：116.
[21] WANG J，SUN LY，ZOU MH，et al. Bioinspired shape-memory graphene film with tunable wettability[J]. Science Advances，2017，3(6)：1700004.
[22] CHEN HW，ZHANG PF，ZHANG LW，et al. Continuous directional water transport on the peristome surface of Nepenthes alata[J]. Nature，2016，532(7597)：85-89.
[23] KHAN A，WANG X，ZHAO B，et al. Ultrasonic vibration-assisted cutting of titanium alloys：A state-of- the-art review[J]. Chinese Journal of Aeronautics，2025，38(1)：3-42.
[24] 宋宇翔，许芝令，李长河，等. 纳米生物润滑剂微量润滑磨削性能研究进展[J]. 表面技术，2023，52(12)：1-19. SONG Yuxiang，XU Zhiling，LI Changhe，et al. Research progress on the grinding performance of nanobiolubricant minimum quantity lubrication[J]. Surface Technology，2023，52(12)：1-19.
[25] 许文昊，高腾，刘德伟，等. 纤维增强碳化硅陶瓷基复合材料磨削力建模研究进展[J]. 复合材料学报，2024，41(9)：4628-4653. XU Wenhao，GAO Teng，LIU Dewei，et al. Progress in grinding mechanical modeling of fiber reinforced SiC ceramic matrix composites[J]. Acta Materiae Compositae Sinica，2024，41(9)：4628-4653.
[26] 刘德伟，李长河，秦爱国，等. 考虑刀具跳动的可转位面铣刀运动学分析与铣削力模型[J]. 机械工程学报，2024，60(21)：365-377. LIU Dewei，LI Changhe，QIN Aiguo，et al. Kinematic analysis and milling force model for disc milling cutter of indexable inserts considering tool runout[J]. Journal of Mechanical Engineering，2024，60(21)：365-377.
[27] 李炳林，胡于进，王学林，等. 基于斜角切削理论的立铣切削力预测研究[J]. 中国机械工程，2011，22(19)：2283-2288. LI Binglin，HU Yujin，WANG Xuelin，et al. Cutting force prediction based on oblique cutting theory in end milling[J]. China Mechanical Engineering，2011，22(19)：2283-2288.
[28] LI BL，WANG XL，HU YJ，et al. Analytical prediction of cutting forces in orthogonal cutting using unequal division shear-zone model[J]. International Journal of Advanced Manufacturing Technology，2011，54(5-8)：431-443.
[29] JOHNSON GR，COOK WH. Fracture characteristics of three metals subjected to varios strain rates，temperatures and pressures[J]. Engineering Fracture Mechanics，1985，21(1)：31-48.
[30] 张杜江，赵振宇，贺良，等. 基于Johnson-Cook本构模型的高强度装甲钢动态力学性能参数标定及验证[J]. 兵工学报，2022，43(8)：1966-1976. ZHANG Dujiang，ZHAO Zhenyu，HE Liang，et al. Calibration and verification of dynamic mechanical properties of high-strength armored steel based on Johnson-Cook constitutive model[J] Acta Armamentarii，2022，43(8)：1966-1976.
[31] 茹一帆，张乐乐，刘文，等. 基于缺口试件应力状态试验的Johnson-Cook模型参数反演标定方法[J]. 机械工程学报，2021，57(22)：60-70. RU Yifan，ZHANG Lele，LIU Wen，et al. Inverse determination method of Johnson-Cook model parameters based on the stress state test of notched specimens[J] Journal of Mechanical Engineering，2021，57(22)：60-70.
[32] 王运，张昌明，张昱. 航空Al7050合金的静动态力学特性研究及JC本构模型构建[J]. 材料导报，2021，35(10)：10096-10102. WANG Yun，ZHANG Changming，ZHANG Yu. Study on static and dynamic mechanical properties of aviation Al7050 alloy and construction of JC constitutive model[J] Materials Reports，2021，35(10)：10096-10102.
[33] SHOKRY A，GOWID S，KHARMANDA G. An improved generic Johnson-Cook model for the flow prediction of different categories of alloys at elevated temperatures and dynamic loading conditions[J]. Materials Today Communications，2021，27：102296.
[34] JANG TJ，YOON JW，KIM JB. Determination of Johnson-Cook constitutive model coefficients considering initial gap between contact faces in SHPB test[J]. Journal of Materials Research and Technology，2023，24：7242-7257.
[35] DUCOBU F，RIVIÈRE-LORPHÈVRE E，FILIPPI E. On the importance of the choice of the parameters of the Johnson-Cook constitutive model and their influence on the results of a Ti6Al4V orthogonal cutting model[J]. International Journal of Mechanical Sciences，2017，122：143-155.
[36] LALWANI DI，MEHTA NK，JAIN PK. Extension of Oxley's predictive machining theory for Johnson and Cook flow stress model[J]. Journal of Materials Processing Technology，2009，209(12-13)：5305-5312.
[37] SMOLENICKI D，BOOS J，KUSTER F，et al. In-process measurement of friction coefficient in orthogonal cutting[J]. CIRP Annals-Manufacturing Technology，2014，63(1)：97-100.
[38] BAI W，SUN RL，GAO Y，et al. Analysis and modeling of force in orthogonal elliptical vibration cutting[J]. International Journal of Advanced Manufacturing Technology，2016，83(5-8)：1025-1036.
[39] SHAMOTO E，SUZUKI N，HINO R. Analysis of 3D elliptical vibration cutting with thin shear plane model[J]. CIRP Annals-Manufacturing Technology，2008，57(1)：57-60.
[40] ZHANG X，KUMAR AS，RAHMAN M，et al. An analytical force model for orthogonal elliptical vibration cutting technique[J]. Journal of Manufacturing Processes，2012，14(3)：378-387.
[41] BAI W，ROY A，GUO L X，et al. Analytical prediction of shear angle and frictional behaviour in vibration- assisted cutting[J]. Journal of Manufacturing Processes，2021，62：37-46.
[42] WANG X，YANG M，GAO T，et al. Lubricant transport mechanism and dynamics model for nepenthes-shaped biomimetic microtexture[J]. Chinese Journal of Mechanical Engineering，2025，38(1)：36.
[43] YAN L T，ZHANG Q J，YU J Z. Analytical models for oil penetration and experimental study on vibration assisted machining with minimum quantity lubrication[J]. International Journal of Mechanical Sciences，2018，148：374-382.

超声赋能仿生微织构刀具微量润滑车削钛合金Ti-6Al-4V力模型与实验验证

Mechanical Model and Experimental Verification for Minimum Quantity Lubrication Turning Titanium Alloy Ti-6Al-4V with Biomimetic Textured Tools Empowered by Ultrasonic

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	石文天, 李嘉宁, 马通, 李杰, 卢晓红, 李建, 杨益琳, 王林. Al/FRP共固化材料铣削与钻削对比试验研究[J]. 机械工程学报, 2026, 62(7): 478-490.
[2]	高书颜, 黄明坤, 黄涛, 张小明, 丁汉. 五轴加工通用刀具切触区高效计算及切削力预测[J]. 机械工程学报, 2025, 61(9): 132-141.
[3]	孙金刚, 杨敏, 杨玉莹, 张彦彬, Y S DAMBATTA, 周宗明, 李长河. 超声微磨削生物骨非均匀热源温度场模型与实验验证[J]. 机械工程学报, 2025, 61(9): 178-198.
[4]	张金, 邓辰杰, 雒泰民, 罗代新, 陶桂宝, 曹华军. CFRP超声振动铣削辅助装备及智能加工研究进展[J]. 机械工程学报, 2025, 61(7): 24-48.
[5]	高腾, 许文昊, 张彦彬, 刘明政, 徐培明, 安庆龙, 王一奇, 王大中, 李长河. 纤维增强复合材料磨削力解析建模与控制工艺策略研究进展[J]. 机械工程学报, 2025, 61(7): 49-76.
[6]	徐捷, 冯平法, 乐祺中, 尚凯锋, 王昱天, 冯峰. 单向CFRP复合材料高速直角切削实验研究[J]. 机械工程学报, 2025, 61(7): 109-119.
[7]	田威, 李鹏程, 缪云飞, 廖文和, 董松, 孟丹. 大型复材薄壁构件工业机器人高精度原位铣边加工新方法[J]. 机械工程学报, 2025, 61(7): 120-133.
[8]	周云光, 陈晗, 邹忌, 马文敏, 马廉洁, 李明, 尹国强, 巩亚东. 2.5D-C_f/SiC复合材料超声椭圆振动辅助螺旋磨削运动学模型及材料去除机理研究[J]. 机械工程学报, 2025, 61(7): 229-244.
[9]	石文天, 杨益琳, 李杰, 李建, 解钏, 马通. 基于微量润滑的芳纶复合材料铣磨复合加工对比试验研究[J]. 机械工程学报, 2025, 61(7): 259-268.
[10]	程英豪, 刘长青, 庄其扬, 李光旭, 郝小忠. 基于循环神经网络的切削力无传感器监测[J]. 机械工程学报, 2025, 61(6): 14-23.
[11]	陶翀骢, 张超, 季宏丽, 裘进浩. 复合材料层间I型裂纹内聚力牵引-分离曲线重构[J]. 机械工程学报, 2025, 61(24): 109-117.
[12]	张顺, 薛河, 张嘉庆, 武军. 基于内聚力模型的有机玻璃半椭圆表面裂纹扩展研究[J]. 机械工程学报, 2025, 61(24): 158-167.
[13]	鲁艳军, 叶永辉, 关伟锋, 陈雨寒, 朱学明, 吴勇波. 基于PVD涂层刀具的钛合金超声辅助铣削工艺优化及磨损机理研究[J]. 机械工程学报, 2025, 61(23): 344-360.
[14]	孙金刚, 刘纪新, 杨敏, 杨玉莹, 李润泽, 张彦彬, 刘明政, 李长河. 超声微磨削生物骨非均匀热源传导机理与三维有限差分模型及验证[J]. 机械工程学报, 2025, 61(19): 363-385.
[15]	张稳祺, 张国庆, 马帅. 基于力感知的超精密车削刀高设置误差在线辨识与补偿系统构建[J]. 机械工程学报, 2025, 61(19): 397-406.