Prediction Model for Forming Limit of Welded Tube Hydroforming

Abstract

Abstract: Welded tubes have been widely used to manufacture tube hydroformed parts in the automotive industry. The non-uniform plastic deformation is caused by the weld zone, thus the accuracy evaluation for necking or fracture of seamed tube hydroforming is a problem which catches much concern in engineering. Based on metallographic analysis and microhardness testing methods, the structure and the forming characteristics of electrical resistance welding (ERW) welded tube are analyzed. A novel theoretical method is developed to predict the forming limit diagram (FLD) for welded tube hydroforming considering the unique features of seamed tube hydroforming. Based on this theoretical method, a new prediction model for forming limit of welded tube hydrforming is proposed using Swift hardening equation and Hill yield criterion. The FLD for welded tube hydroforming can be calculated after ascertaining the properties of welded tube, comprised of weld zone metal and base metal. Based on this prediction model, the FLD for an ERW welded tube of QSTE340 is calculated by programming. Good correlation between the theoretical predicting result and experimental data is indicated, and prove the validity and reliability of this theoretical model.

Key words: Formability, Forming limit, Hydroforming, Prediction model, Welded tube

CLC Number:

TG386

CHEN Xianfeng;YU Zhongqi;HOU Bo;LI Shuhui;LIN Zhongqin. Prediction Model for Forming Limit of Welded Tube Hydroforming[J]. , 2011, 47(20): 116-120.

[1]	KONG Ling, WANG Yuhui, Yang Haokun, PENG Yan. Research Situation of Service Performance of Fe-Mn-Al-C Austenitic Low Density Steel [J]. Journal of Mechanical Engineering, 2024, 60(8): 34-47.
[2]	ZHU Haihua, WANG Jianjie, LI Fei, LIU Changchun, CAI Qixiang. Workshop Order Remaining Completion Time Prediction Based on the Feature Selection and SSA-LSTM [J]. Journal of Mechanical Engineering, 2024, 60(20): 388-402.
[3]	HU Chengliang, MIAO Hongliang, ZENG Fan, ZHAO Zhen, TANG Minjun, TANG Xiaofeng. Prediction Model of Magnetic Induction Strength of Soft Magnetic Materials under Hot Forming Conditions [J]. Journal of Mechanical Engineering, 2024, 60(2): 132-139,149.
[4]	CUI Xiaolei, HE Jiuqiang, HAN Cong, YUAN Shijian. Hydroforming Technology of Complex Special-shaped Hollow Components by Collaborative and Variable Loadings [J]. Journal of Mechanical Engineering, 2023, 59(20): 143-153.
[5]	XIE Jiale, LI Zengchao, WANG Guang, YAO Tianqi. Internal and External Temperature Prediction Models for 18650 Li-ion Battery Based on Electrical-thermal Coupled Effects [J]. Journal of Mechanical Engineering, 2023, 59(16): 342-352.
[6]	XU Yi, HU Xinyu, ZHANG Xueyu, HE Zhubin. Cold-hot Integrated Precision Bending of Ultra-high Strength Steel Welded Tube without Springback Compensation [J]. Journal of Mechanical Engineering, 2023, 59(13): 353-363.
[7]	ZHANG Zai-fang, XU Feng, SUN Xi-wu. Multi-objective Optimization of Hydroforming Process of Rocket Tank Bottom [J]. Journal of Mechanical Engineering, 2022, 58(5): 78-86.
[8]	CHEN Gui-kun, CENG Kai, XING Bao-ying, HE Xiao-cong. Multiple Nonlinear Regression Model of Process Parameters for Aluminum Alloy Self-piercing Riveting [J]. Journal of Mechanical Engineering, 2022, 58(22): 227-234.
[9]	ZHANG Xiaosong, CHEN Shuaifeng, LI Wang, SONG Hongwu, ZHANG Shihong, WEI Zuoshan. Study on Improving the Formability of 2B06 Aluminum Alloy Sheet by Local Hardening Effect Using Laser Heat Treatment [J]. Journal of Mechanical Engineering, 2022, 58(20): 250-259.
[10]	ZHANG Qifei, JIN Miao, CHEN Lei, ZHANG Yusen, YANG Shuai, GUO Baofeng. Formation Mechanism and Prediction Model of Macro Clear Grains in Near α Titanium Alloy Aviation Forgings [J]. Journal of Mechanical Engineering, 2021, 57(8): 133-145.
[11]	JING Linguo, JING Zhongyi, ZHANG Shaojing, ZHANG Shaoying. Power Grid Saturation Load Probability Prediction Method Considering Random Influencing Factors [J]. Journal of Electrical Engineering, 2021, 16(3): 99-105.
[12]	MA Shuai, LIU Xiubo, REN Songbin, CHEN Zhuo, LIU Yutao. Research on Side Wear Prediction of Curve Rail in Shuohuang Heavy Haul Railway [J]. Journal of Mechanical Engineering, 2021, 57(18): 118-125.
[13]	SUN Guoqin, SHANG Deguang, WANG Yang. Research Progress on Fatigue Behavior and Life Prediction under Multiaxial Loading for Metals [J]. Journal of Mechanical Engineering, 2021, 57(16): 153-172.
[14]	YU Zhou, YU Jiaxin, YUAN Weifeng, LAI Jianping, HE Hongtu. Analytical Prediction of Reciprocating Nanoscratch Depth for Brittle Materials in the Ductile Regime [J]. Journal of Mechanical Engineering, 2021, 57(15): 246-254.
[15]	CUI Xiaolei. Research Progress on Wrinkling Behavior and Wrinkles Control for Tube Hydroforming [J]. Journal of Mechanical Engineering, 2021, 57(12): 226-236.

Prediction Model for Forming Limit of Welded Tube Hydroforming

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments