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.
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Abbreviations
- ACF:
-
Autocorrelation function curve
- EMQL:
-
Electrostatic atomization minimum quantity lubrication
- MQL:
-
Minimal quantity lubrication
- S/N:
-
Signal-to-noise
- dF a(φ, z):
-
Axial force on the micro cutting edge
- dF t(φ, z):
-
Tangential force on the micro cutting edge
- dF r(φ, z):
-
Radial force on the microdimensional cutting edge
- dz :
-
Thickness of the cutting edge micro element
- F :
-
Milling force
- \(\bar{F}_{\max}\) :
-
Mean value
- F max,i :
-
Peak milling force of the ith milling force in the collected data
- f t :
-
Feed rate
- h[φ(z)]:
-
Undeformed chip thickness
- h c :
-
Sampling interval
- K te, K re, K ae :
-
Edge force coefficient in each direction
- K tc, K rc, K ac :
-
Coefficient of shear force in all directions
- L :
-
Sampling length
- m :
-
Maximum number of transverse displacements
- n :
-
Number of data obtained
- N m :
-
Sampling capacity
- P z :
-
Total energy consumed
- r :
-
Number of transverse displacements
- Ra:
-
Arithmetic mean deviation of surface profile
- RSm:
-
Average width of surface contour lines
- t :
-
Machining time
- U W :
-
Specific energy
- V :
-
Milling tool linear speed
- V j :
-
Area swept by the milling cutter on the workpiece surface per unit time
- V w :
-
Workpiece removal volume
- x(t), x(t+τ):
-
Distance between surface contour and centerline at t and t + τ
- y i :
-
Actual sample data obtained
- Y n :
-
Height value of the nth contour
- Y n+r :
-
Height value of the contour at (n + r)th place
- Z(x):
-
Arithmetic mean of contour height
- α p :
-
Radial depth of cut
- γ :
-
Angle of incision
- ω s :
-
Angular velocity
- η :
-
Helix angle
- φ 0 :
-
Angle of radial position of the cutting edge micro element
- φ ex :
-
Angle of incision of the tool
- φ st :
-
Angle of incision of the tool
- φ(z):
-
Instantaneous tooth position angle
References
Tian W, Chang S, Zhou C S, Zhang W D, Feng Z H, Sun X 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)
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
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
Song Y X, Li C H, Zhou Z M, Liu B, Sharma S, Dambatta Y S, Zhang Y B, Yang M, Gao T, Liu M Z, Cui X, Wang X M, Xu W H, Li R Z, Wang D Z. Nanobiolubricant grinding: a comprehensive review. Advances in Manufacturing, 2024
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
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
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: (2): 10009
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
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
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(1): 10006
Kong K, Hu Z Q, Yao W Q, Huang S Q, Xu X 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)
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
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
Jiang H, 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)
Tang Z C, Su Y. Investigation on co-axial electrostatic atomization cutting. Tool Engineering, 2018, 52(5): 51–55 (in Chinese)
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: 109881
Li C H. Thermodynamic Mechanism of MQL Grinding with Nano Bio-lubricant. Berlin: Springer, 2024, 43–115
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
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
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
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
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
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
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
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
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
Liu D W, Li C H, Qin A G, Liu B, Chen Y, Zhang Y B. Kinematic analysis and milling force model of rotary surface milling machine of cutting machine. Journal of Mechanical Engineering, 2024, 1–13 (in Chinese)
Shi Z, Li C H, Liu D W, Zhang Y B, Qin A G, Cao H J, Chen Y. The instantaneous milling force model and verification of unequal helix angle end mill. Journal of Mechanical Engineering, 2024, 1–14 (in Chinese)
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
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
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(2): 022004
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
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
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
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
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
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
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(2): 022003
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
da Silva L R R, Ruzzi R S, Teles V C, Sales W F, Guesser W L, Machado A 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
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(2): 022001
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
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
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
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
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
Wang X M, Li C H, Yang M, Zhang Y B, Liu M Z, Gao T, Cui X, Wang D Z, Cao H J, Chen Y, Liu B. Progress on the physical mechanism of microlubrication processing in nano bio-lubricants. Journal of Mechanical Engineering, 2024, 60(9): 286–322 (in Chinese)
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
Zhang J X, Zhang W, Li Z Y, Yan F Q, Liu Y H, Zhao Y 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)
Li C, Piao Y C, Zhang F H, Zhang Y, Hu Y X, Wang Y 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
Henke M, Lis B, Krystofiak T. Evaluation of surface roughness parameters of HDF for finishing under industrial conditions. Materials, 2022, 15(18): 6359
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
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
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
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
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
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
Su Y, Wu S K, Jiang H. 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)
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
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
Liu D W, Xu Z L, Li C H, Qin A G, Liu B, Zhang Y B, Dambatta Y S, An Q L. Mathematical model and experimental verification of workpiece surface roughness in face milling. Surface Technology, 2024, 53(4): 125–139 (in Chinese)
Liu F, Shan Y Q, Gong Y 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)
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
Liu X H. Autocorrelation analysis of aluminum alloy grinding and processing surface. Light Alloy Fabrication Technology, 2010, 38(1): 41–42, 59 (in Chinese)
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
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(1): 012005
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
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
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
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
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)
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
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)..
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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.
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Yang, M., Ma, H., Li, Z. et al. Force model in electrostatic atomization minimum quantity lubrication milling GH4169 and performance evaluation. Front. Mech. Eng. 19, 28 (2024). https://doi.org/10.1007/s11465-024-0800-8
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DOI: https://doi.org/10.1007/s11465-024-0800-8