Three-dimensional modeling and reconstructive change of residual stress during machining process of milling, polishing, heat treatment, vibratory finishing, and shot peening of fan blade

Ji-Yin Zhang , Chang-Feng Yao , Min-Chao Cui , Liang Tan , Yun-Qi Sun

Advances in Manufacturing ›› 2021, Vol. 9 ›› Issue (3) : 430 -445.

PDF
Advances in Manufacturing ›› 2021, Vol. 9 ›› Issue (3) : 430 -445. DOI: 10.1007/s40436-021-00351-4
Article

Three-dimensional modeling and reconstructive change of residual stress during machining process of milling, polishing, heat treatment, vibratory finishing, and shot peening of fan blade

Author information +
History +
PDF

Abstract

Residual stress during the machining process has always been a research hotspot, especially for aero-engine blades. The three-dimensional modeling and reconstructive laws of residual stress among various processes in the machining process of the fan blade is studied in this paper. The fan blades of Ti-6Al-4V are targeted for milling, polishing, heat treatment, vibratory finishing, and shot peening. The surface and subsurface residual stress after each process is measured by the X-ray diffraction method. The distribution of the surface and subsurface residual stress is analyzed. The Rational Taylor surface function and cosine decay function are used to fit the characteristic function of the residual stress distribution, and the empirical formula with high fitting accuracy is obtained. The value and distribution of surface and subsurface residual stress vary greatly due to different processing techniques. The reconstructive change of the surface and subsurface residual stress of the blade in each process intuitively shows the change of the residual stress between the processes, which has a high reference significance for the research on the residual stress of the blade processing and the optimization of the entire blade process.

Keywords

Fan blade / Machining process / Surface residual stress / Subsurface residual stress / Three-dimensional modeling / Reconstructive change

Cite this article

Download citation ▾
Ji-Yin Zhang, Chang-Feng Yao, Min-Chao Cui, Liang Tan, Yun-Qi Sun. Three-dimensional modeling and reconstructive change of residual stress during machining process of milling, polishing, heat treatment, vibratory finishing, and shot peening of fan blade. Advances in Manufacturing, 2021, 9(3): 430-445 DOI:10.1007/s40436-021-00351-4

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Yao C, Zhang J, Cui M, et al. Machining deformation prediction of large fan blades based on loading uneven residual stress. Int J Adv Manuf Technol, 2020, 107(9–10): 4345-4356.

[2]

Guo M, Jiang X, Ye Y, et al. Investigation of redistribution mechanism of residual stress during multi-process milling of thin-walled parts. Int J Adv Manuf Technol, 2019, 103(1–4): 1459-1466.

[3]

El-Khabeery MM, Fattouh M. Residual stress distribution caused by milling. Int J Mach Tools Manuf, 1989, 29(3): 391-401.

[4]

Wang J, Zhang D, Wu B, et al. Residual stresses analysis in ball end milling of nickel-based superalloy Inconel 718. Mater Res, 2017, 20(6): 1681-1689.

[5]

Ji C, Sun S, Lin B, et al. Effect of cutting parameters on the residual stress distribution generated by pocket milling of 2219 aluminum alloy. Adv Mech Eng, 2018, 10(12): 168781401881305.

[6]

Kong X, Ding Z, Xu L, et al. Effects of milling parameters on distribution of residual stress during the milling of curved thin-walled parts. EPJ Web Conf, 2019, 224: 5009.

[7]

Fuh K-H, Wu C-F. A residual-stress model for the milling of aluminum alloy (2014–T6). J Mater Process Technol, 1995, 51(1–4): 87-105.

[8]

Peng FY, Dong Q, Yan R, et al. Analytical modeling and experimental validation of residual stress in micro-end-milling. Int J Adv Manuf Technol, 2016, 87(9–12): 3411-3424.

[9]

Yang D, Liu Z, Ren X, et al. Hybrid modeling with finite element and statistical methods for residual stress prediction in peripheral milling of titanium alloy Ti-6Al-4V. Int J Mech Sci, 2016, 108–109: 29-38.

[10]

Wang J, Zhang D, Wu B, et al. Numerical and empirical modelling of machining-induced residual stresses in ball end milling of Inconel 718. Procedia CIRP, 2017, 58: 7-12.

[11]

Zhou R, Yang W. Correction to: analytical modeling of residual stress in helical end milling of nickel-aluminum bronze. Int J Adv Manuf Technol, 2019, 100(1–4): 1011.

[12]

Qi H, Xie Z, Hong T, et al. CFD modelling of a novel hydrodynamic suspension polishing process for ultra-smooth surface with low residual stress. Powder Technol, 2017, 317: 320-328.

[13]

Lin X, Wu D, Shan X, et al. Flexible CNC polishing process and surface integrity of blades. J Mech Sci Technol, 2018, 32(6): 2735-2746.

[14]

Wu D, Wang H, Zhang K, et al. Research on flexible adaptive CNC polishing process and residual stress of blisk blade. Int J Adv Manuf Technol, 2019, 103(5–8): 2495-2513.

[15]

Xiao G, Huang Y, Yin J. An integrated polishing method for compressor blade surfaces. Int J Adv Manuf Technol, 2017, 88(5–8): 1723-1733.

[16]

Yuan F, Liu C, Gu H, et al. Effects of mechanical polishing treatments on high cycle fatigue behavior of Ti-6Al-2Sn-4Zr-2Mo alloy. Int J Fatigue, 2019, 121: 55-62.

[17]

Minguela J, Slawik S, Mücklich F, et al. Evolution of microstructure and residual stresses in gradually ground/polished 3Y-TZP. J Eur Ceram Soc, 2020, 40(4): 1582-1591.

[18]

Sridhar BR, Devananda G, Ramachandra K, et al. Effect of machining parameters and heat treatment on the residual stress distribution in titanium alloy IMI-834. J Mater Process Technol, 2003, 139(1–3): 628-634.

[19]

Bensely A, Venkatesh S, Mohan Lal D, et al. Effect of cryogenic treatment on distribution of residual stress in case carburized En 353 steel. Mater Sci Eng A, 2008, 479(1–2): 229-235.

[20]

Paddea S, Francis JA, Paradowska AM, et al. Residual stress distributions in a P91 steel-pipe girth weld before and after post weld heat treatment. Mater Sci Eng A, 2012, 534: 663-672.

[21]

Dong P, Song S, Zhang J. Analysis of residual stress relief mechanisms in post-weld heat treatment. Int J Press Vessels Pip, 2014, 122: 6-14.

[22]

Araghchi M, Mansouri H, Vafaei R, et al. A novel cryogenic treatment for reduction of residual stresses in 2024 aluminum alloy. Mater Sci Eng A, 2017, 689: 48-52.

[23]

Zhang Z, Ge P, Zhao GZ. Numerical studies of post weld heat treatment on residual stresses in welded impeller. Int J Press Vessels Pip, 2017, 153: 1-14.

[24]

Bai Q, Feng H, Si L-K, et al. A novel stress relaxation modeling for predicting the change of residual stress during annealing heat treatment. Metall Mater Trans A, 2019, 50(12): 5750-5759.

[25]

Fu Y, Gao H, Wang X, et al. Machining the integral impeller and blisk of aero-engines: a review of surface finishing and strengthening technologies. Chin J Mech Eng, 2017, 30(3): 528-543.

[26]

Kacaras A, Gibmeier J, Zanger F, et al. Influence of rotational speed on surface states after stream finishing. Procedia CIRP, 2018, 71: 221-226.

[27]

Luo S, Zhou L, Nie X, et al. The compound process of laser shock peening and vibratory finishing and its effect on fatigue strength of Ti-3.5Mo-6.5Al-1.5Zr-0.25Si titanium alloy. J Alloy Compd, 2019, 783: 828-835.

[28]

Wong BJ, Majumdar K, Ahluwalia K, et al. Effects of high frequency vibratory finishing of aerospace components. J Mech Sci Technol, 2019, 33(4): 1809-1815.

[29]

Zanger F, Kacaras A, Neuenfeldt P, et al. Optimization of the stream finishing process for mechanical surface treatment by numerical and experimental process analysis. CIRP Ann, 2019, 68(1): 373-376.

[30]

Kim T, Lee JH, Lee H, et al. An area-average approach to peening residual stress under multi-impacts using a three-dimensional symmetry-cell finite element model with plastic shots. Mater Des, 2010, 31(1): 50-59.

[31]

Ghasemi A, Hassani-Gangaraj SM, Mahmoudi AH, et al. Shot peening coverage effect on residual stress profile by FE random impact analysis. Surf Eng, 2016, 32(11): 861-870.

[32]

Mahmoudi AH, Ghasemi A, Farrahi GH, et al. A comprehensive experimental and numerical study on redistribution of residual stresses by shot peening. Mater Des, 2016, 90: 478-487.

[33]

Zhan K, Jiang CH, Ji V. Uniformity of residual stress distribution on the surface of S30432 austenitic stainless steel by different shot peening processes. Mater Lett, 2013, 99: 61-64.

[34]

Sherafatnia K, Farrahi GH, Mahmoudi AH, et al. Experimental measurement and analytical determination of shot peening residual stresses considering friction and real unloading behavior. Mater Sci Eng, A, 2016, 657: 309-321.

[35]

Hayashi M, Okido S, Suzuki H. Residual stress distribution in water jet peened type 304 stainless steel. Quantum Beam Sci, 2020, 4(2): 18.

[36]

Lai H-H, Cheng H-C, Lee C-Y, et al. Effect of shot peening time on δ/γ residual stress profiles of AISI 304 weld. J Mater Process Technol, 2020, 284: 116747.

[37]

Yao C, Wu D, Ma L, et al. Surface integrity evolution and fatigue evaluation after milling mode, shot-peening and polishing mode for TB6 titanium alloy. Appl Surf Sci, 2016, 387: 1257-1264.

[38]

Tan L, Zhang D, Yao C, et al. Evolution and empirical modeling of compressive residual stress profile after milling, polishing and shot peening for TC17 alloy. J Manuf Process, 2017, 26: 155-165.

[39]

Wu D, Zhang D, Yao C. Effect of turning and surface polishing treatments on surface integrity and fatigue performance of nickel-based alloy GH4169. Metals, 2018, 8(7): 549.

[40]

Sridhar BR, Nafde WG, Padmanabhan KA. Effect of shot peening on the residual stress distribution in two commercial titanium alloys. J Mater Sci, 1992, 27(21): 5783-5788.

[41]

Zhang J, Yao C, Tan L, et al. Shot peening parameters optimization based on residual stress-induced deformation of large fan blades. Thin-Walled Struct, 2021, 161(1): 107467.

Funding

National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809(91860206)

National Science and Technology Major Project(2017-VII-0001-0094)

National Key Research and Development Plan in Shaanxi Province of China(2019ZDLGY02-03)

Natural Science Basic Research Plan in Shaanxi Province of China(2020JQ-186)

AI Summary AI Mindmap
PDF

184

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/