Force model in electrostatic atomization minimum quantity lubrication milling GH4169 and performance evaluation

Min YANG, Hao MA, Zhonghao LI, Jiachao HAO, Mingzheng LIU, Xin CUI, Yanbin ZHANG, Zongming ZHOU, Yunze LONG, Changhe LI

PDF(5345 KB)
PDF(5345 KB)
Front. Mech. Eng. ›› 2024, Vol. 19 ›› Issue (4) : 28. DOI: 10.1007/s11465-024-0800-8
RESEARCH ARTICLE

Force model in electrostatic atomization minimum quantity lubrication milling GH4169 and performance evaluation

Author information +
History +

Abstract

The nickel-based high-temperature alloy GH4169 is the material of choice for manufacturing critical components in aeroengines, and electrostatic atomization minimum quantity lubrication (EMQL) milling represents a fundamental machining process for GH4169. However, the effects of electric field parameters, jet parameters, nozzle position, and milling parameters on milling performance remain unclear, which constrains the broad application of EMQL in aerospace manufacturing. This study evaluated the milling performance of EMQL on nickel-based alloys using soybean oil as the lubrication medium. Results revealed that compared with conventional pneumatic atomization MQL milling, EMQL reduced the milling force by 15.2%–15.9%, lowered the surface roughness by 30.9%–54.2%, decreased the average roughness spacing by 47.4%–58.3%, and decreased the coefficient of friction and the specific energy of cutting by 55% and 19.6%, respectively. Subsequent optimization experiments using orthogonal arrays demonstrated that air pressure most significantly affected the milling force and specific energy of cutting, with a contribution rate of 22%, whereas voltage had the greatest effect on workpiece surface roughness, contributing 36.71%. Considering the workpiece surface morphology and the potential impact of droplet drift on environmental and health safety, the optimal parameter combination identified were a flow rate of 80 mL/h, an air pressure of 0.1 MPa, a voltage of 30 kV, a nozzle incidence angle of 35°, an elevation angle of 30°, and a target distance of 40 mm. This research aimed to provide technical insights for improving the surface integrity of aerospace materials that are difficult to machine during cutting operations.

Graphical abstract

Keywords

electrostatic atomization / MQL / nickel-based alloys / milling force / surface roughness / force model

Cite this article

Download citation ▾
Min YANG, Hao MA, Zhonghao LI, Jiachao HAO, Mingzheng LIU, Xin CUI, Yanbin ZHANG, Zongming ZHOU, Yunze LONG, Changhe LI. Force model in electrostatic atomization minimum quantity lubrication milling GH4169 and performance evaluation. Front. Mech. Eng., 2024, 19(4): 28 https://doi.org/10.1007/s11465-024-0800-8

References

[1]
TianW, Chang S, ZhouC S, ZhangW D, FengZ H, SunX Y, Su R. Microstructure transformation and metallographic analysis of nickel-based wrought superalloy during heat treatment. Heat Treatment of Metals, 2021, 46(8): 30–35 (in Chinese)
[2]
Xu W H, Li C H, Cui X, Zhang Y B, Yang M, Gao T, Liu M Z, Wang X M, Zhou Z M, Sharma S, Dambatta Y S. Atomization mechanism and machinability evaluation with electrically charged nanolubricant grinding of GH4169. Journal of Manufacturing Processes, 2023, 106: 480–493
CrossRef Google scholar
[3]
Gong P, Zhang Y B, Wang C J, Cui X, Li R Z, Sharma S, Liu M Z, Gao T, Zhou Z M, Wang X M, Dambatta Y S, Li C H. Residual stress generation in grinding: mechanism and modeling. Journal of Materials Processing Technology, 2024, 324: 118262
CrossRef Google scholar
[4]
SongY X, Li C H, ZhouZ M, LiuB, SharmaS, DambattaY S, Zhang Y B, YangM, GaoT, LiuM Z, CuiX, WangX M, XuW H, Li R Z, WangD Z. Nanobiolubricant grinding: a comprehensive review. Advances in Manufacturing, 2024
[5]
Hu S G, Li C H, Li B K, Yang M, Wang X M, Gao T, Xu W H, Dambatta Y S, Zhou Z M, Xu P M. Digital twins enabling intelligent manufacturing: from methodology to application. Intelligent and Sustainable Manufacturing, 2024, 1(1): 10007
[6]
Dambatta Y S, Li C H, Sayuti M, Sarhan A A D, Yang M, Li B K, Chu A X, Liu M Z, Zhang Y B, Said Z, Zhou Z M. Grindability evaluation of ultrasonic assisted grinding of silicon nitride ceramic using minimum quantity lubrication based SiO2 nanofluid. Chinese Journal of Mechanical Engineering, 2024, 37(1): 25
CrossRef Google scholar
[7]
Shi Y X, Zhao B, Ding W F. Solid additives to increase the service life of ceramic cutting tool: methodology and mechanism. Intelligent and Sustainable Manufacturing, 2024, 1: 10009
[8]
Xu X F, Lv T, Luan Z Q, Zhao Y Y, Wang M H, Hu X D. Capillary penetration mechanism and oil mist concentration of Al2O3 nanoparticle fluids in electrostatic minimum quantity lubrication (EMQL) milling. The International Journal of Advanced Manufacturing Technology, 2019, 104(5–8): 1937–1951
CrossRef Google scholar
[9]
Khosravi J, Azarhoushang B, Barmouz M, Bösinger R, Zahedi A. High-speed milling of Ti6Al4V under a supercritical CO2+MQL hybrid cooling system. Journal of Manufacturing Processes, 2022, 82: 1–14
CrossRef Google scholar
[10]
Gu G Q, Wang D Z, Wu S J, Zhou S, Zhang B X. Research status and prospect of ultrasonic vibration and minimum quantity lubrication processing of nickel-based alloys. Intelligent and Sustainable Manufacturing, 2024, 1: 10006
[11]
KongK, Hu Z Q, YaoW Q, HuangS Q, XuX F. Sizes distribution characteristics of cutting fluid droplets for electrostatic atomization minimum quantity lubrication. Journal of Mechanical & Electrical Engineering, 2013, 30(12): 1472–1476 (in Chinese)
[12]
Patel M K, Sharma T, Nayak M K, Ghanshyam C. Computational modeling and experimental evaluation of the effects of electrode geometry and deposition target on electrostatic spraying processes. International Journal of Computer Applications, 2015, 124(2): 10–15
CrossRef Google scholar
[13]
Reddy N S K, Yang M. Development of an electrostatic lubrication system for drilling of SCM 440 steel. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2009, 224(2): 217–224
CrossRef Google scholar
[14]
JiangH, Su Y. Study on atomization characteristics and machining performance of coaxial electrostatic atomization cutting. Modular Machine Tool & Automatic Manufacturing Technique, 2021, 6: 146–149 (in Chinese)
[15]
TangZ C, Su Y. Investigation on co-axial electrostatic atomization cutting. Tool Engineering, 2018, 52(5): 51–55 (in Chinese)
[16]
Yang M, Hao J C, Wu W T, Li Z H, Ma Y Q, Zhou Z M, Gao T, Liu M Z, Cui X, Zhang Y B, Li B K, Ma X, Dambatta Y S, Li C H. Critical cutting thickness model considering subsurface damage of zirconia grinding and friction–wear performance evaluation applied in simulated oral environment. Tribology International, 2024, 198(10): 109881
[17]
LiC H. Thermodynamic Mechanism of MQL Grinding with Nano Bio-lubricant. Berlin: Springer, 2024, 43–115
[18]
Huang S Q, Lv T, Xu X F, Ma Y L, Wang M H. Experimental evaluation on the effect of electrostatic minimum quantity lubrication (EMQL) in end milling of stainless steels. Machining Science and Technology, 2018, 22(2): 271–286
CrossRef Google scholar
[19]
Xu X F, Huang S Q, Wang M H, Yao W Q. A study on process parameters in end milling of AISI-304 stainless steel under electrostatic minimum quantity lubrication conditions. The International Journal of Advanced Manufacturing Technology, 2017, 90(1): 979–989
CrossRef Google scholar
[20]
Huang S Q, Lv T, Wang M H, Xu X F. Enhanced machining performance and lubrication mechanism of electrostatic minimum quantity lubrication-EMQL milling process. The International Journal of Advanced Manufacturing Technology, 2018, 94(1): 655–666
CrossRef Google scholar
[21]
Huang S Q, Lv T, Wang M H, Xu X F. Effects of machining and oil mist parameters on electrostatic minimum quantity lubrication–EMQL turning process. International Journal of Precision Engineering and Manufacturing-Green Technology, 2018, 5(2): 317–326
CrossRef Google scholar
[22]
Lv T, Xu X F, Yu A B, Hu X D. Oil mist concentration and machining characteristics of SiO2 water-based nano-lubricants in electrostatic minimum quantity lubrication-EMQL milling. Journal of Materials Processing Technology, 2021, 290: 116964
CrossRef Google scholar
[23]
De Bartolomeis A, Newman S T, Shokrani A. High-speed milling inconel 718 using electrostatic minimum quantity lubrication (EMQL). Procedia CIRP, 2021, 101: 354–357
CrossRef Google scholar
[24]
Xu J Y, Li L F, Lin T Y, Gupta M K, Chen M. Machinability analysis in high-speed milling of AlSi7Mg alloys under EMQL conditions: an approach toward sustainable manufacturing. Journal of Manufacturing Processes, 2022, 81: 1005–1017
CrossRef Google scholar
[25]
Liu F C, Wu X Z, Xia Y, Lv T, Zhang R C, Hu X D, Xu X F. A novel cold air electrostatic minimum quantity lubrication (CAEMQL) technique for the machining of titanium alloys Ti–6Al–4V. The International Journal of Advanced Manufacturing Technology, 2023, 126(7–8): 3437–3452
CrossRef Google scholar
[26]
Li L Y, Zhang Y B, Cui X, Said Z, Sharma S, Liu M Z, Gao T, Zhou Z M, Wang X M, Li C H. Mechanical behavior and modeling of grinding force: a comparative analysis. Journal of Manufacturing Processes, 2023, 102: 921–954
CrossRef Google scholar
[27]
LiuD W, Li C H, QinA G, LiuB, ChenY, ZhangY B. Kinematic analysis and milling force model of rotary surface milling machine of cutting machine. Journal of Mechanical Engineering, 2024, 1–13 (in Chinese)
[28]
ShiZ, LiC H, LiuD W, Zhang Y B, QinA G, CaoH J, ChenY. The instantaneous milling force model and verification of unequal helix angle end mill. Journal of Mechanical Engineering, 2024, 1–14 (in Chinese)
[29]
Zhou R H. Analytical model of milling forces prediction in five-axis milling process. The International Journal of Advanced Manufacturing Technology, 2020, 108(9): 3045–3054
CrossRef Google scholar
[30]
He C L, Yan J W, Wang S Q, Zhang S, Chen G, Ren C Z. A theoretical and deep learning hybrid model for predicting surface roughness of diamond-turned polycrystalline materials. International Journal of Extreme Manufacturing, 2023, 5(3): 035102–2632
[31]
Cui W Y, Chen H Z, Zhao J X, Ma Q S, Xu Q, Ma T B. Progresses on cryo-tribology lubrication mechanisms, detection methods and applications. International Journal of Extreme Manufacturing, 2023, 5: 022004
[32]
Chen N, Chen M J, Wu C Y, Pei X D, Qian J, Reynaerts D. Research in minimum undeformed chip thickness and size effect in micro end-milling of potassium dihydrogen phosphate crystal. International Journal of Mechanical Sciences, 2017, 134: 387–398
CrossRef Google scholar
[33]
Mulyadi I H, Balogun V A, Mativenga P T. Environmental performance evaluation of different cutting environments when milling H13 tool steel. Journal of Cleaner Production, 2015, 108: 110–120
CrossRef Google scholar
[34]
Duan Z J, Wang S S, Wang Z H, Li C H, Li Y H, Song J L, Liu J Y, Liu X. Tool wear mechanisms in cold plasma and nano-lubricant multi-energy field coupled micro-milling of Al–Li alloy. Tribology International, 2024, 192: 109337
CrossRef Google scholar
[35]
Laghari R A, He N, Jamil M, Gupta M K. Tribological and machining characteristics of milling SiCp/Al MMC composites under sustainable cooling conditions. The International Journal of Advanced Manufacturing Technology, 2023, 128(5–6): 2613–2630
CrossRef Google scholar
[36]
Sun J G, Li C H, Zhou Z M, Liu B, Zhang Y B, Yang M, Gao T, Liu M Z, Cui X, Li B K, Li R Z, Dambatta Y S, Sharma S. Material removal mechanism and force modeling in ultrasonic vibration-assisted micro-grinding biological bone. Chinese Journal of Mechanical Engineering, 2023, 36(1): 129
CrossRef Google scholar
[37]
Su Y, Lu Q, Yu T, Liu Z Q, Zhang C Y. Machining and environmental effects of electrostatic atomization lubrication in milling operation. The International Journal of Advanced Manufacturing Technology, 2019, 104(5–8): 2773–2782
CrossRef Google scholar
[38]
Zhang J Q, He B B, Zhang B. Failure mode change and material damage with varied machining speeds: a review. International Journal of Extreme Manufacturing, 2023, 5: 022003
[39]
Hu S G, Li C H, Zhou Z M, Liu B, Zhang Y B, Yang M, Li B K, Gao T, Liu M Z, Cui X, Wang X M, Xu W H, Dambatta Y S, Li R Z, Sharma S. Nanoparticle-enhanced coolants in machining: mechanism, application, and prospects. Frontiers of Mechanical Engineering, 2023, 18(4): 53
CrossRef Google scholar
[40]
da SilvaL R R, Ruzzi R S, TelesV C, SalesW F, Guesser W L, MachadoA R. Analysis of the coefficient of friction at the workpiece–tool interface in milling of high strength compacted graphite cast irons. Wear, 2019, 426–427: 1646–1657
[41]
Zhao L, Zhang J J, Zhang J G, Dai H F, Hartmaier A, Sun T. Numerical simulation of materials-oriented ultra-precision diamond cutting: review and outlook. International Journal of Extreme Manufacturing, 2023, 5: 022001
[42]
Yang M, Kong M, Li C H, Long Y Z, Zhang Y B, Sharma S, Li R Z, Gao T, Liu M Z, Cui X, Wang X M, Ma X, Yang Y Y. Temperature field model in surface grinding: a comparative assessment. International Journal of Extreme Manufacturing, 2023, 5(4): 042011
CrossRef Google scholar
[43]
Pham M Q, Yoon H S, Khare V, Ahn S H. Evaluation of ionic liquids as lubricants in micro milling–process capability and sustainability. Journal of Cleaner Production, 2014, 76: 167–173
CrossRef Google scholar
[44]
Zhao G L, Xin L J, Li L, Zhang Y, He N, Hansen H N. Cutting force model and damage formation mechanism in milling of 70wt% Si/Al composite. Chinese Journal of Aeronautics, 2023, 36(7): 114–128
CrossRef Google scholar
[45]
Dang J Q, Wang C G, Wang H H, An Q L, Wei J, Gao B, Liu Z M, Chen M. Deformation behavior and microstructure evolution of 300M ultrahigh strength steel subjected to high strain rate: an analytical approach. Journal of Materials Research and Technology, 2023, 25: 812–831
CrossRef Google scholar
[46]
Sun C, Hong Y, Xiu S C, Ma L, Wang D W, Xu C W, Feng W. Surface strengthening mechanism of the active grinding carburization. Tribology International, 2023, 185: 108569
CrossRef Google scholar
[47]
WangX M, Li C H, YangM, ZhangY B, LiuM Z, GaoT, CuiX, WangD Z, Cao H J, ChenY, LiuB. Progress on the physical mechanism of microlubrication processing in nano bio-lubricants. Journal of Mechanical Engineering, 2024, 60(9): 286–322 (in Chinese)
[48]
Bai X F, Jiang J, Li C H, Dong L, Ali H M, Sharma S. Tribological performance of different concentrations of Al2O3 nanofluids on minimum quantity lubrication milling. Chinese Journal of Mechanical Engineering, 2023, 36(1): 11
CrossRef Google scholar
[49]
ZhangJ X, Zhang W, LiZ Y, YanF Q, LiuY H, ZhaoY G. Study on the influence of cutting parameters on specific cutting energy and surface roughness of radial tire mold side plate. Machine Tool and Hydraulic, 2021, 49(14): 36–40 (in Chinese)
[50]
LiCPiaoY C ZhangF HZhang YHuY XWangY F. Understand anisotropy dependence of damage evolution and material removal during nanoscratch of MgF2 single crystals. International Journal of Extreme Manufacturing, 2023, 5(1): 015101
[51]
Henke M, Lis B, Krystofiak T. Evaluation of surface roughness parameters of HDF for finishing under industrial conditions. Materials, 2022, 15(18): 6359
CrossRef Google scholar
[52]
Dang J Q, Zhang H, An Q L, Ming W W, Chen M. On the microstructural evolution pattern of 300M steel subjected to surface cryogenic grinding treatment. Journal of Manufacturing Processes, 2021, 68: 169–185
CrossRef Google scholar
[53]
Dang J Q, Zhang H, An Q L, Ming W W, Chen M. Surface modification of ultrahigh strength 300M steel under supercritical carbon dioxide (scCO2)-assisted grinding process. Journal of Manufacturing Processes, 2021, 61: 1–14
CrossRef Google scholar
[54]
Chen J, Yu W W, Zuo Z Y, Li Y G, Chen D, An Q L, Wang H W, Chen M. Tribological properties and tool wear in milling of in-situ TiB2/7075 Al composite under various cryogenic MQL conditions. Tribology International, 2021, 160: 107021
CrossRef Google scholar
[55]
An Q L, Cai C Y, Zou F, Liang X, Chen M. Tool wear and machined surface characteristics in side milling Ti6Al4V under dry and supercritical CO2 with MQL conditions. Tribology International, 2020, 151: 106511
CrossRef Google scholar
[56]
Pan Z R, Yao B, Chen B Q, Huang J S, Ma X F, Lan Q X. Cutting force model of milling titanium alloy with C60 nanofluid minimum quantity lubrication. Journal of Manufacturing Processes, 2023, 105: 295–306
CrossRef Google scholar
[57]
Yang M, Ma H, Hao J C, Li Z H, Li R Z, Zhou Z M, Gao T, Liu M Z, Cui X, Wang X M, Zhang Y B, Dambatta Y S, Long Y Z, Li C H. Droplet size distribution model of needle electrode electrostatic atomization and milling nickel-based alloy performance evaluation. Journal of Manufacturing Processes, 2024, 119: 682–698
CrossRef Google scholar
[58]
SuY, WuS K, JiangH. Study on the influence of base fluid type of external fluid on nanofluid coaxial electrostatic atomization cutting. China Mechanical Engineering, 2023, 34(7): 796–802 (in Chinese)
[59]
Su Y, Chu Z P, Gong L, Wang B, Liu Z Q. Assessment of lubrication property and machining performance of nanofluid composite electrostatic spraying (NCES) using different types of vegetable oils as base fluids of external fluid. Chinese Journal of Mechanical Engineering, 2023, 36(1): 94
CrossRef Google scholar
[60]
Su Y, Hu X R, Zhang D D, Jiang H, Liu Z Q. Performance evaluation of composite electrostatic spraying (CES) in milling process. The International Journal of Advanced Manufacturing Technology, 2021, 117(1–2): 109–123
CrossRef Google scholar
[61]
LiuD W, Xu Z L, LiC H, QinA G, LiuB, ZhangY B, Dambatta Y S, AnQ L. Mathematical model and experimental verification of workpiece surface roughness in face milling. Surface Technology, 2024, 53(4): 125–139 (in Chinese)
[62]
LiuF, ShanY Q, GongY D, Cai G Q. Cross correlation analysis on surface profile machined with abrasive jet precision finishing with grinding wheel as restraint. Diamond and Abrasive Engineering, 2007, 5: 53–57 (in Chinese)
[63]
Li X, Guan C M, Zhao P. Influences of milling and grinding on machined surface roughness and fatigue behavior of GH4169 superalloy workpieces. Chinese Journal of Aeronautics, 2018, 31(6): 1399–1405
CrossRef Google scholar
[64]
Liu X H. Autocorrelation analysis of aluminum alloy grinding and processing surface. Light Alloy Fabrication Technology, 2010, 38(1): 41–42,59 (in Chinese)
CrossRef Google scholar
[65]
Liu M Z, Li C H, Zhang Y B, Yang M, Gao T, Cui X, Wang X M, Li H N, Said Z, Li R Z, Sharma S. Analysis of grain tribology and improved grinding temperature model based on discrete heat source. Tribology International, 2023, 180: 108196
CrossRef Google scholar
[66]
Wang J S, Fang F Z, An H J, Wu S, Qi H M, Cai Y X, Guo G Y. Laser machining fundamentals: micro, nano, atomic and close-to-atomic scales. International Journal of Extreme Manufacturing, 2023, 5: 012005
[67]
Kieren-Ehses S, Mayer T, Kirsch B, Aurich J C. Influence of the parameters of a minimum quantity lubrication system on micro milling process results. The International Journal of Advanced Manufacturing Technology, 2023, 127(11–12): 5279–5292
CrossRef Google scholar
[68]
Huang W H, Yan J W. Effect of tool geometry on ultraprecision machining of soft-brittle materials: a comprehensive review. International Journal of Extreme Manufacturing, 2023, 5(1): 012003
[69]
Liang X L, Liu Z Q, Wang B, Wang C J, Cheung C F. Friction behaviors in the metal cutting process: state of the art and future perspectives. International Journal of Extreme Manufacturing, 2023, 5(1): 012002
[70]
Fulcheri L, Rohani V, Fabry F, Traisnel N. Experimental electrical characterization of a low-current tip–tip arc discharge in helium atmosphere at very high pressure. Plasma Sources Science & Technology, 2010, 19(4): 045010
CrossRef Google scholar
[71]
Cai F F, Ren W, Chen X X. Optimization of high-speed milling parameters of integral impeller based on Taguchi method and variance analysis. Machine Tool and Hydraulics, 2016, 44(2): 4–6,9 (in Chinese)
CrossRef Google scholar
[72]
Zhou Z, Li F, Yang H, Gao W Y, Miao L W. Orthogonal experimental study of soil–rock mixtures under the freeze–thaw cycle environment. International Journal of Pavement Engineering, 2021, 22(11): 1376–1388
CrossRef Google scholar

Acknowledgements

This study was financially supported by the National Natural Science Foundation of China (Grant No. 52205481), the Support Plan for Outstanding Youth Innovation Team in Universities of Shandong Province, China (Grant No. 2023KJ114), and the Qingdao Science and Technology Planning Park Cultivation Plan, China (Grant No. 23-1-5-yqpy-17-qy).

Conflict of Interest

Changhe LI is a member of the Editorial Board of Frontiers of Mechanical Engineering, who was excluded from the peer review process and all editorial decisions related to the acceptance and publication of this article. Peer review was handled independently by the other editors to minimize bias.

RIGHTS & PERMISSIONS

2024 Higher Education Press
AI Summary AI Mindmap
PDF(5345 KB)

Accesses

Citations

Detail

Sections
Recommended

/