目的 针对传统本构模型难以准确预测高强钢冷成形过程中的回弹效应问题,研究考虑各向异性的新型本构模型以提升高强钢零件回弹预测精度。方法 针对DP980高强钢板材存在的明显各向异性行为,基于Hill48、Yld2000-2d、Yld2004-18p各向异性屈服准则与Yoshida-Uemori（Y-U）强化模型,分别建立了考虑各向异性的弹塑性本构模型。使用ABAQUS软件建立了U形件板材冲压回弹有限元模型,分析了不同本构模型对DP980高强钢板U形件冲压回弹预测的影响规律,并与实验数据进行对比。结果 Yld2004-18p三维应力各向异性屈服准则对DP980高强钢板U形冲压回弹的预测精度高于其他屈服准则,预测轮廓与实验结果最为相似。当同时使用考虑弹性模量衰减的Y-U强化模型与Yld2004-18p屈服准则时,回弹预测精度最高,对回弹角θ1、θ2和侧壁曲率半径ρ的预测误差分别仅为1.62%、1.2%和2.18%。结论 本研究验证了建立的各向异性弹塑性本构模型在DP980高强钢板冲压回弹仿真中的适用性。结果表明,该模型有效提升了回弹预测精度,丰富了先进高强钢本构建模的选择。
Abstract
Since the traditional constitutive model is difficult to accurately predict the springback effect during the cold forming process of high-strength steel, the work aims to study a new constitutive model considering anisotropy to improve the prediction accuracy of springback of high-strength steel parts. Due to the significant anisotropic behavior of DP980 high-strength steel sheets, anisotropic elastoplastic constitutive models were developed based on the Hill48, Yld2000-2d and Yld2004-18p anisotropic yield criterion, combined with the Yoshida-Uemori (Y-U) hardening model. A finite element model for the stamping springback of U-shaped sheet metal was developed through ABAQUS, the effect of different constitutive models on the springback prediction of DP980 high-strength steel was analyzed and compared with experimental data. The Yld2004-18p 3D stress anisotropic yield criterion demonstrated higher prediction accuracy for DP980 high-strength steel springback compared to the Hill48, Yld2000-2d and Mises criterion, with predicted profiles showing the closest agreement with experiments. The Y-U hardening model incorporating elastic modulus degradation, combined with the Yld2004-18p yield criterion, achieved minimal prediction errors of only 1.62%, 1.2%, and 2.18% for springback angles θ1, θ2, and sidewall curvature radius ρ, representing the highest prediction accuracy. This study validates the applicability of the developed anisotropic elastoplastic constitutive models in springback simulations for DP980 high-strength steel sheets. The models significantly improve springback prediction accuracy for high-strength steels.
关键词
高强钢板 /
冲压回弹 /
各向异性 /
本构模型 /
有限元仿真
Key words
high-strength steel sheet /
stamping springback /
anisotropy /
constitutive model /
finite element simulation
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 巢成新, 于强, 李秋. 汽车用先进高强钢本构模型与韧性断裂模型研究进展[J]. 精密成形工程, 2024, 16(1): 77-86.
CHAO C X, YU Q, LI Q.Research Progress on Constitutive Model and Ductile Fracture Model of Advanced High Strength Steel for Automotive Applications[J]. Journal of Netshape Forming Engineering, 2024, 16(1): 77-86.
[2] 李守港, 刘鹏, 刘祥, 等. 高强钢热冲压结构件三维激光切割回弹规律及精度补偿方法[J]. 中国机械工程, 2022, 33(22): 2741-2747.
LI S G, LIU P, LIU X, et al.Rebound Law and Precision Compensation Method of Three-Dimensional Laser Cutting of High Strength Steel Hot Stamping Structural Parts[J]. China Mechanical Engineering, 2022, 33(22): 2741-2747.
[3] 夏天, 高志玉, 赵斐, 等. 金属材料塑性本构模型建立研究进展[J]. 塑性工程学报, 2024, 31(9): 23-35.
XIA T, GAO Z Y, ZHAO F, et al.Research Progress on Establishing of Plastic Constitutive Models for Metal Materials[J]. Journal of Plasticity Engineering, 2024, 31(9): 23-35.
[4] YOSHIDA F, UEMORI T.A Model of Large-Strain Cyclic Plasticity Describing the Bauschinger Effect and Workhardening Stagnation[J]. International Journal of Plasticity, 2002, 18(5/6): 661-686.
[5] YOSHIDA F, UEMORI T.A Model of Large-Strain Cyclic Plasticity and Its Application to Springback Simulation[J]. International Journal of Mechanical Sciences, 2003, 45(10): 1687-1702.
[6] 李小强, 董红瑞, 于长旺, 等. 不同屈服准则与硬化模型对DP780双相高强钢拉延弯曲回弹预测影响规律研究[J]. 机械工程学报, 2020, 56(12): 42-55.
LI X Q, DONG H R, YU C W, et al.Influence of Yield Criteria and Hardening Model on Draw-Bending Springback Prediction of DP780[J]. Journal of Mechanical Engineering, 2020, 56(12): 42-55.
[7] 晏佳伟, 胡启, 王振振, 等. 不同硬化模型对第3代超高强度钢板冲压回弹预测的比较[J]. 上海交通大学学报, 2017, 51(11): 1334-1339.
YAN J W, HU Q, WANG Z Z, et al.A Comparison Study of Different Hardening Models in Springback Prediction for Stamping of the Third Generation Ultra High Strength Steel[J]. Journal of Shanghai Jiao Tong University, 2017, 51(11): 1334-1339.
[8] LIN J P, HOU Y, MIN J Y, et al.Effect of Constitutive Model on Springback Prediction of MP980 and AA6022-T4[J]. International Journal of Material Forming, 2020, 13(1): 1-13.
[9] GENG L M, WAGONER R H.Role of Plastic Anisotropy and Its Evolution on Springback[J]. International Journal of Mechanical Sciences, 2002, 44(1): 123-148.
[10] HILL R.A Theory of the Yielding and Plastic Flow of Anisotropic Metals[J]. Proceedings of the Royal Society of London Series A, Mathematical and Physical Sciences, 1948, 193(1033): 281-297.
[11] BARLAT F, BREM J C, YOON J W, et al.Plane Stress Yield Function for Aluminum Alloy Sheets: Part 1: Theory[J]. International Journal of Plasticity, 2003, 19(9): 1297-1319.
[12] LIU X L, CAO J G, HUANG S X, et al.Experimental and Numerical Prediction and Comprehensive Compensation of Springback in Cold Roll Forming of UHSS[J]. The International Journal of Advanced Manufacturing Technology, 2020, 111(3): 657-671.
[13] BARLAT F, ARETZ H, YOON J W, et al.Linear Transfomation-Based Anisotropic Yield Functions[J]. International Journal of Plasticity, 2005, 21(5): 1009-1039.
[14] WESSEL A, MORAND L, BUTZ A, et al.Machine Learning-Based Sampling of Virtual Experiments within the Full Stress State[J]. International Journal of Mechanical Sciences, 2024, 275: 109307.
[15] XU T Y, LI F G, ZHANG G H, et al.Effect of Plastic Anisotropy on Notch Deformation Behavior of 7075 High-Strength Aluminum Alloy Sheet Subjected to Axial Tension[J]. Theoretical and Applied Fracture Mechanics, 2023, 124: 103828.
[16] 李明. 板料各向异性对多点成形回弹预测与补偿影响的研究[D]. 长春: 吉林大学, 2022: 5-12.
LI M.Study on the Influence of Sheet Anisotropy on Springback Prediction and Compensation in Multi-Point Forming[D]. Changchun: Jilin University, 2022: 5-12.
[17] HAJIAHMADI S, NAEINI H M, TALEBI-GHADIKOLAEE H, et al.Effect of Anisotropy on Spring-back of Pre-Punched Profiles in Cold Roll Forming Process: An Experimental and Numerical Investigation[J]. The International Journal of Advanced Manufacturing Technology, 2023, 129(9): 3965-3978.
[18] KIM J H, KANG G S, LEE H S, et al.Spring-back Prediction of DP980 Steel Sheet Using a Yield Function with a Hardening Model[J]. Transactions of Materials Processing, 2016, 25(3): 189-194.
[19] GOMES C, ONIPEDE O, LOVELL M.Investigation of Springback in High Strength Anisotropic Steels[J]. Journal of Materials Processing Technology, 2005, 159(1): 91-98.
[20] LIU W C, LI X H, LIU M, et al.Virtual Laboratory Enabled Constitutive Modelling of Dual Phase Steels[J]. International Journal of Plasticity, 2024, 175: 103930.
[21] CHOI J, LEE J, BONG H J, et al.Advanced Constitutive Modeling of Advanced High Strength Steel Sheets for Springback Prediction after Double Stage U-Draw Bending[J]. International Journal of Solids and Structures, 2018, 151: 152-164.
[22] 郑学斌, 韩龙帅, 李学涛, 等. DP780双相钢U弯回弹预测影响因素研究[J]. 机械工程学报, 2024, 60(6): 197-206.
ZHENG X B, HAN L S, LI X T, et al.Study on Influencing Factors of U-Bending Springback Prediction of DP780 Dual-Phase Steel[J]. Journal of Mechanical Engineering, 2024, 60(6): 197-206.
[23] WANG B T, CHANG Y, ZANG S L, et al.Effect of Complicated Deformation Behaviors during Cold Stamping on Springback Prediction of DP980 Steel[J]. The International Journal of Advanced Manufacturing Technology, 2023, 126(11): 4997-5015.
[24] 贾哲, 刘洋, 窦欢欢. 不同屈服准则对2091铝合金板材各向异性行为的预测性能[J]. 塑性工程学报, 2024, 31(12): 107-115.
JIA Z, LIU Y, DOU H H.Prediction Performance of Different Yield Criteria on Anisotropy Behavior for 2091 Aluminum Alloy Sheets[J]. Journal of Plasticity Engineering, 2024, 31(12): 107-115.
[25] 胡晓, 王玉升, 刘勇, 等. DP980高强钢U形件板材冲压回弹预测[J]. 锻压技术, 2024, 49(12): 73-81.
HU X, WANG Y S, LIU Y, et al.Prediction on Stamping Springback for DP980 High Strength Steel U-Shaped Part[J]. Forging & Stamping Technology, 2024, 49(12): 73-81.
PDF(3375 KB)
渝公网安备 50010702501719号 渝ICP备15012534号-4
