
基于变形力监测数据的残余应力场推断和表征方法
Zhiwei Zhao, Changqing Liu, Yingguang Li, James Gao
工程(英文) ›› 2023, Vol. 22 ›› Issue (3) : 49-59.
基于变形力监测数据的残余应力场推断和表征方法
A New Method for Inferencing and Representing a Workpiece Residual Stress Field Using Monitored Deformation Force Data
残余应力是材料的基本属性之一,与零件的几何/尺寸稳定性和疲劳寿命直接相关。针对具有高精度要求的大型零件,其残余应力场的准确测量和预测一直是一个挑战。目前的残余应力场测量技术分为基于应变的有损法以及效率和精度较低的无损法。本文提出了一种基于变形力推断残余应力场的无损法。本方法通过能够反映去除材料后不平衡残余应力场整体效应的变形力来推断零件的残余应力场。利用虚功原理建立了变形力与残余应力场之间的力学关系,并引入正则化方法求解残余应力场。为验证方法的有效性,本文进行了理论验证和实际实验验证。实验结果表明,该方法对于大型结构件的残余应力场测量具有可靠的精度和灵活性。在数字化和智能制造的趋势下,该方法的基本原理为利用加工监测数据预测和补偿由残余应力引起的零件加工变形提供了重要参考。
The residual stress inside stock materials is a fundamental property related to the quality of manufactured parts in terms of geometric/dimensional stability and fatigue life. For large parts that must meet high-precision requirements, accurately measuring and predicting the residual stress field has been a major challenge. Existing technologies for measuring the residual stress field are either strain-based measurement methods or non-destructive methods with low efficiency and accuracy. This paper reports a new non-destructive method for inferencing the residual stress field based on deformation forces. In the proposed method, the residual stress field of a workpiece is inferred based on the characteristics of the deformation forces that reflect the overall effect of the unbalanced residual stress field after material removal operations. The relationship between deformation forces and the residual stress field is modeled based on the principle of virtual work, and the residual stress field inference problem is solved using an enforced regularization method. Theoretical verification is presented and actual experiment cases are tested, showing reliable accuracy and flexibility for large aviation structural parts. The underlying principle of the method provides an important reference for predicting and compensating workpiece deformation caused by residual stress using dynamic machining monitoring data in the context of digital and intelligent manufacturing.
残余应力场 / 精密加工 / 变形力 / 反问题 / 在位测量 /
Residual stress field / Precision manufacturing / Deformation force / Inverse problem / In situ / measurement
[1] |
Geeenough GB. Internal stresses in metals. Nature 1948;161(4096):683.
|
[2] |
Wang YM, Voisin T, McKeown JT, Ye J, Calta NP, Li Z, et al. Additively manufactured hierarchical stainless steels with high strength and ductility. Nat Mater 2018;17(1):63–71.
|
[3] |
Xu Y, Joseph S, Karamched P, Fox K, Rugg D, Dunne FPE, et al. Predicting dwell fatigue life in titanium alloys using modelling and experiment. Nat Commun 2020;11(1):5868.
|
[4] |
Li Y, Shi Z, Lin J, Yang YL, Saillard P, Said R. Effect of machining-induced residual stress on springback of creep age formed AA2050 plates with asymmetric creep-ageing behaviour. Int J Mach Tools Manuf 2018;132: 113–22.
|
[5] |
Yuan S. Fundamentals and processes of fluid pressure forming technology for complex thin-walled components. Engineering 2021;7(3):358–66.
|
[6] |
Lu Y, Sun G, Xiao X, Mazumder J. Online stress measurement during laseraided metallic additive manufacturing. Sci Rep 2019;9:7630.
|
[7] |
Withers PJ, Bhadeshia HKDH. Residual stress. Part 1—measurement techniques. Mater Sci Technol 2001;17(4):355–65.
|
[8] |
Prime MB, Hill MR. Residual stress, stress relief, and inhomogeneity in aluminum plate. Scr Mater 2002;46(1):77–82.
|
[9] |
Prime MB. Cross-sectional mapping of residual stresses by measuring the surface contour after a cut. J Eng Mater Technol 2001;123(2):162–8.
|
[10] |
Treuting RG, Read WT. A mechanical determination of biaxial residual stress in sheet materials. J Appl Phys 1951;22(2):130–4.
|
[11] |
Wong AK, Dunn SA, Sparrow JG. Residual stress measurement by means of the thermoelastic effect. Nature 1988;332(6165):613–5.
|
[12] |
Lu L, Dao M, Kumar P, Ramamurty U, Karniadakis GE, Suresh S. Extraction of mechanical properties of materials through deep learning from instrumented indentation. Proc Natl Acad Sci USA 2020;117(13):7052–62.
|
[13] |
Kirchlechner C, Martinschitz KJ, Daniel R, Mitterer C, Donges J, Rothkirch A, et al. X-ray diffraction analysis of three-dimensional residual stress fields reveals origins of thermal fatigue in uncoated and coated steel. Scr Mater 2010;62(10):774–7.
|
[14] |
Fratini L, Zuccarello B. An analysis of through-thickness residual stresses in aluminium FSW butt joints. Int J Mach Tools Manuf 2006;46(6):611–9.
|
[15] |
Shen X, Zhang D, Yao C, Tan L, Yao H. Formation mechanism of surface metamorphic layer and influence rule on milling TC17 titanium alloy. Int J Adv Manuf Technol 2021;112(7–8):2259–76.
|
[16] |
Zhang Y, Chen S, Cai Y, Lu L, Fan D, Shi J, et al. Novel X-ray and optical diagnostics for studying energetic materials: a review. Engineering 2020;6(9): 992–1005.
|
[17] |
Jiang W, Woo W, An GB, Park JU. Neutron diffraction and finite element modeling to study the weld residual stress relaxation induced by cutting. Mater Des 2013;51:415–20.
|
[18] |
Singh DRP, Deng X, Chawla N, Bai J, Hubbard C, Tang G, et al. Residual stress characterization of Al/SiC nanoscale multilayers using X-ray synchrotron radiation. Thin Solid Films 2010;519(2):759–65.
|
[19] |
Chen H, Wang XL. China’s first pulsed neutron source. Nat Mater 2016;15(7): 689–91.
|
[20] |
Spradlin TJ, Olson MD. Comparison of residual stress measurements from multiple techniques in die-forged 7085-T7452. In: Proceedings of the 2017 Residual Stress Summit; 2017 Oct 23–26; Dayton, OH, USA. 2017. p. 1–32.
|
[21] |
Schajer GS, editor. Practical residual stress measurement methods. Wiley; 2013.
|
[22] |
Zhao Z, Li Y, Liu C, Liu X. Predicting part deformation based on deformation force data using physics-informed latent variable model. Robot Comput Integr Manuf 2021;72:102204.
|
[23] |
Cerutti X, Mocellin K. Influence of the machining sequence on the residual stress redistribution and machining quality: analysis and improvement using numerical simulations. Int J Adv Manuf Technol 2016;83(1–4):489–503.
|
[24] |
Hao X, Li Y, Chen G, Liu C. 6+X locating principle based on dynamic mass centers of structural parts machined by responsive fixtures. Int J Mach Tools Manuf 2018;125:112–22.
|
[25] |
Li Y, Liu C, Hao X, Gao JX,Maropoulos PG. Responsive fixture design using dynamic product inspection and monitoring technologies for the precision machining of large-scale aerospace parts. CIRP Ann Manuf Technol 2015;64(1):173–6.
|
/
〈 |
|
〉 |