Analytical springback modelling for thermal-mechanical bending of TA18 tube under non-isothermal loading

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Applied Mathematical Modelling Pub Date : 2025-07-01 Epub Date: 2025-02-10 DOI:10.1016/j.apm.2025.115964
Zili Wang , Le Wang , Shuyou Zhang , Xiaojian Liu , Yongzhe Xiang , Yaochen Lin , Jianrong Tan
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Abstract

The thermal-mechanical bending process is a promising forming method for high-strength hollow tubular structures, enabling the forming limit's extension, particularly for difficult-to-bend metal tubes such as TA18 tubes. However, this forming process complicates the springback characteristics due to the thermal-mechanical coupling effect under multi-die heating and constraint strategies. To further reveal the elastic release mechanism of TA18 thin-walled tubes post-unloading, we propose an analytical springback modeling method for the warm rotary draw bending (WRDB) process. A continuous steady-state heat transfer theoretical model across the tube cross-section is developed to model the thermal field and exactly capture the material flow behavior. Based on the experimental TA18 temperature softening behavior, the distribution of asymmetric strain and the nonlinear thermal field is introduced into the springback modeling, revealing the behavior of neutral layer shifting (NLS) and the evolution of yield surface across the cross-section under non-isothermal loading. Compared to finite element (FE) modeling, quantitative results show that the theoretical model can accurately predict tube springback behavior in experiments, achieving an average absolute relative error (AARE) below 1.4 % with low computational cost. The temperature effect on springback under different heating strategies is attributed to NLS and stress-strain redistribution induced by material temperature softening. The temperature difference of the local thermal field aggravates the NLS and contributes to the non-uniform tensile and compressive deformation, which is significant in the bending case with large diameter tubes and induces pronounced springback behavior.
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TA18管在非等温载荷下热-机械弯曲的解析回弹模型
热机械弯曲工艺是一种很有前途的高强度空心管结构的成形方法,可以延长成形极限,特别是对于难以弯曲的金属管,如TA18管。然而,由于多模加热和约束策略下的热-力耦合效应,这种成形过程使回弹特性复杂化。为了进一步揭示TA18薄壁管卸载后的弹性释放机理,提出了一种热旋转拉伸弯曲(WRDB)过程的解析回弹建模方法。建立了跨管截面的连续稳态传热理论模型,以模拟热场,准确地捕捉材料流动行为。在实验TA18温度软化行为的基础上,将非对称应变和非线性热场的分布引入回弹模型,揭示了非等温加载下的中性层位移(NLS)行为和屈服面在横截面上的演变。定量结果表明,与有限元模型相比,理论模型可以准确地预测管的回弹行为,平均绝对相对误差(AARE)低于1.4%,计算成本低。不同加热策略下回弹的温度效应主要归因于材料温度软化引起的应力-应变重分布和NLS效应。局部热场的温差加剧了NLS,导致了非均匀的拉伸和压缩变形,在大直径管材弯曲情况下,这一现象尤为明显,并诱发了明显的回弹行为。
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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