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.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: http://www.cjmenet.com.cn/EN/

http://www.cjmenet.com.cn/EN/Y2011/V47/I20/116

[1]	YUAN Yuan, Liu Xiucheng, QI Pan, Cao Wenbo, Wang Zhenghong, WU Bin, Gao Xiang. A Non-Destructive Surface Hardness Testing Method Utilizing the Transduction Curve of a Magnetostrictive SH₀ Guided Wave Sensor [J]. Journal of Mechanical Engineering, 2026, 62(6): 228-236.
[2]	ZHU Haihua, FU Tairan, LI Fei, LIU Changchun, CAI Qixiang, TANG Dunbing. Prediction of Process-level Kitting Time of Assembly Materials for Complex Products Based on Digital Twin [J]. Journal of Mechanical Engineering, 2025, 61(8): 384-398.
[3]	CHEN Xin, GONG Yingying, YANG Lifei. GTN Damage Model Considering Anisotropy and Shear Behavior and Application in Forming Limit Prediction [J]. Journal of Mechanical Engineering, 2025, 61(6): 141-150.
[4]	YING Liang, CHEN Zhigang, DAI Minghua, WANG Daen, HU Ping, HAN Xiaoqiang. Investigation on Bulging Formability and Failure Behavior of Thermoplastic PA6 Carbon Fiber/AL Fiber Metal Laminates during Warm Forming [J]. Journal of Mechanical Engineering, 2025, 61(4): 116-126.
[5]	ZHANG Kun, BAI Xueshan, SUN Jin, HU Xinyu, LIN Yanli, HE Zhubin. Effect of Anisotropic Yield Criterion on Simulation Accuracy in Hydroforming of Aluminum Alloy Extruded Tubes [J]. Journal of Mechanical Engineering, 2025, 61(4): 167-175.
[6]	SU Jiabao, GUO Lichang, DING Haohao, AN Boyang, XU Jingmang, LIU Qiyue, WANG Wenjian. Prediction of U75V Rail Wear Based on the Model of Tγ/A-wear Rate [J]. Journal of Mechanical Engineering, 2025, 61(21): 345-354.
[7]	HAN Guofeng, QI Yutong, GU Bin, LI Shuhui, HE Ji, HUANG Hui. Cryogenic Forming of Complex 6-Series Aluminum Alloy Automotive Body Components [J]. Journal of Mechanical Engineering, 2025, 61(14): 29-35.
[8]	SHANG Yong, JIA Xibei, SUN Jingdong, JIANG Haifeng, LI Guang, SUN Chaoyang. Tempering Hardness Prediction Model of New TBM Disc Cutter Material 7Cr5Mo2MnVSi Steel [J]. Journal of Mechanical Engineering, 2025, 61(12): 83-92.
[9]	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.
[10]	TIAN Yebing, MA Zhen, QIAN Cheng, AHMAD S, MA Xifeng, YUAN Xiangyu, FAN Zenghua. Material Removal Characteristics and Predictive Models for Magnetorheological Shear Thickening Polishing Method [J]. Journal of Mechanical Engineering, 2024, 60(23): 365-376.
[11]	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.
[12]	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.
[13]	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.
[14]	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.
[15]	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.

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