Citation: | YU Huiping, YUAN Yue, HAN Changlu, LI Xiaoyang. Analysis of test about residual stress of super steel spot welding under different process[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(9): 35-38. |
韩长录. 超高强钢点焊残余应力的测试与数值分析[D].北京:北京工业大学,2014.
|
常保华, 都东, 岁波, 等. 锻压力对铝合金点焊接头疲劳行为的影响[J]. 焊接学报, 2005, 26(8): 5-8. Chang Baohua, Du Dong, Sui Bo, et al. Effect of forging force on fatigue behavior of spot-welded joints of alum iniu-m alloy[J]. Transactions of the China Welding Instruction, 2005, 26(8): 5-8.
|
魏强, 宋建岭, 苏再为, 等. 不等厚异种铝合金点焊焊核偏移工艺研究[J]. 焊接, 2014(6):63-65. Wei Qiang, Song Jianling, Su Zaiwei, et al. The Research of ranging from heterogeneous thick aluminum alloy spot welding nuclear migration process[J].Welding & Joining, 2014(6):63-65.
|
孙芳芳. 铝合金电焊过程的数值模拟[D].合肥: 合肥工业大学, 2010.
|
宇慧平, 王伟伟, 刘跃华, 等. 基于响应面法的超高强钢点焊结构的尺寸优化[J]. 焊接学报, 2014, 35(4): 45-48. Yu Huiping, Wang Weiwei, Liu Yuehua, et al. Dimensions optimization of ultra-high strength steel spot weld based on response surface methodology[J]. Transations of the China Welding Institution, 2014, 35(4): 45-48.
|
邓黎鹏, 刘金合, 柯黎明, 等. 400 MPa级细晶粒钢电阻点焊接头组织分析[J]. 焊接学报, 2012, 33(6): 85-88. Deng Lipeng, Liu Jinhe, Ke Liming, et al. Pilot study of resistance spot welding technology for 400 MPa ultrafine grained steel[J]. Transations of the China Welding Institution, 2012, 33(6): 85-88.
|
[1] | JIANG Weiqi, HUANG Haihong, LIU Yun, LI Lei, LIU Zhifeng. Prediction for emission of environmental burden in GTAW based on combined neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2022, 43(10): 77-85. DOI: 10.12073/j.hjxb.20211104002 |
[2] | YANG Yachao, QUAN Huimin, DENG Linfeng, ZHAO Zhenxing. Prediction method of welding machine parameters based on neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(1): 32-36. DOI: 10.12073/j.hjxb.2018390008 |
[3] | ZHANG Yongzhi1,2, DONG Junhui1, HOU Jijun1. Predictive modeling of mechanical properties of welded joints based on generalized dynamic fuzzy RBF neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2017, 38(8): 37-40. DOI: 10.12073/j.hjxb.20150911002 |
[4] | YANG Youwen, TIAN Zongjun, PAN Hu, WANG Dongsheng, SHEN Lida. Geometry quality prediction of Ni-based superalloy coating by laser cladding based on neural network and genetic algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2013, (11): 78-82. |
[5] | LIU Lipeng, WANG Wei, DONG Peixin, WEI Yanhong. Mechanical properties predication system for welded joints based on neural network optimized by genetic algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (7): 105-108. |
[6] | TONG Lige, BAI Shiwu, LIU Fangming. Prediction system of CTOD for high strength pipeline steel welded joint based on back propagation artificial neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (8): 96-98. |
[7] | LÜ Qi-bing, DAI Hong, TAN Ke-li, XIANG Zhao. Quality prediction of alternating current flash butt welding of rail based on improved back propagation neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2005, (5): 65-68. |
[8] | WANG Yu, GAO Da-lu, LIAO Ming-fu, FENG Jing. A model of artificial neural network for optimizing technological parameter of friction welding of dissimilar material[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2005, (4): 33-36. |
[9] | SHI Yu, FAN Ding, CHEN Jian-hong. Predication of properties of welded joints based on neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2004, (2): 73-76. |
[10] | LEI Yu cheng, LIU Wei, CHENG Xiao nong. BP Neural Network Predicting Model for Aluminium Alloy Keyhole Plasma Arc Welding in Vertical Position[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2002, (6): 41-43. |