Accès libre

Research of neural network for weld penetration control

   | 31 mars 2022
À propos de cet article

Citez

Ma Zengqiang, Qian Rongwei, Xu Dandan, Du Wei. Denoising of line structured light welded seams image based on adaptive top-hat transform[J]. Transactions of the China welding institution, 2021, 42(2):8–15. MaZengqiang QianRongwei XuDandan DuWei Denoising of line structured light welded seams image based on adaptive top-hat transform[J] Transactions of the China welding institution 2021 42 2 8 15 Search in Google Scholar

Dai Xinxin, Gao Xiangdong, Zheng Qiaoqiao, Ji Yukun. A method of fuzzy clustering identification for weld defects by magneto-optical imaging[J]. Transactions of the China welding institution, 2021, 42(1):54–57. DaiXinxin GaoXiangdong ZhengQiaoqiao JiYukun A method of fuzzy clustering identification for weld defects by magneto-optical imaging[J] Transactions of the China welding institution 2021 42 1 54 57 Search in Google Scholar

Agarwal G, Gao H, Amirthalingam M, et al. In situ strain investigation during laser welding using digital image correlation and finite-element-based numerical simulation[J]. Science and Technology of Welding and Joining, 2018, 23(2):134–139. AgarwalG GaoH AmirthalingamM In situ strain investigation during laser welding using digital image correlation and finite-element-based numerical simulation[J] Science and Technology of Welding and Joining 2018 23 2 134 139 Search in Google Scholar

Lei Zhenglong, Guo Hengtongl, Zhang Dengming, Li Qian. Study on Melt Flow and Grain Refining Ultrasonic-assisted Laser Filler Wire Welding Process of 5A06 Aluminum Alloy[J]. Journal of Mechanical Engineering, 2021, 57(6):78–84. LeiZhenglong GuoHengtongl ZhangDengming LiQian Study on Melt Flow and Grain Refining Ultrasonic-assisted Laser Filler Wire Welding Process of 5A06 Aluminum Alloy[J] Journal of Mechanical Engineering 2021 57 6 78 84 Search in Google Scholar

Wu Shengchuan, Xie Cheng, Hu Yanan, et al. Defect tolerance assessment method of fusion welded medium and high strength Al alloy joints[J]. Journal of Mechanical Engineering, 2020, 56(8):46–59. WuShengchuan XieCheng HuYanan Defect tolerance assessment method of fusion welded medium and high strength Al alloy joints[J] Journal of Mechanical Engineering 2020 56 8 46 59 Search in Google Scholar

Xue Kunxi, Wang Zhijiang, Shen Junqi, et al. Robotic seam tracking system based on vision sensing and human-machine interaction for multi-pass MAG welding[J]. Journal of Manufacturing Processes, 2021, 63:48–59. XueKunxi WangZhijiang ShenJunqi Robotic seam tracking system based on vision sensing and human-machine interaction for multi-pass MAG welding[J] Journal of Manufacturing Processes 2021 63 48 59 Search in Google Scholar

Cheng Yongchao, Chen Shujun, Xiao Jun, Zhang YuMing. Dynamic estimation of joint penetration by deep learning from weld pool image[J]. Science and Technology of Welding and Joining, 2021, 26(4):279–285. ChengYongchao ChenShujun XiaoJun ZhangYuMing Dynamic estimation of joint penetration by deep learning from weld pool image[J] Science and Technology of Welding and Joining 2021 26 4 279 285 Search in Google Scholar

Zitouni Abdel Halim, Spiteri Pierre, Aissani Mouloud, et al. Heat Transfer Mode and Effect of Fluid Flow on the Morphology of the Weld Pool[J]. Defect and Diffusion Forum, 2021, 6112:66–77. ZitouniAbdel Halim SpiteriPierre AissaniMouloud Heat Transfer Mode and Effect of Fluid Flow on the Morphology of the Weld Pool[J] Defect and Diffusion Forum 2021 6112 66 77 Search in Google Scholar

Ding Dukun. Visual Neural Network Model for Welding Deviation Prediction Based on Weld Pool Centroid[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2018, 32(8). DingDukun Visual Neural Network Model for Welding Deviation Prediction Based on Weld Pool Centroid[J] International Journal of Pattern Recognition and Artificial Intelligence 2018 32 8 Search in Google Scholar

Li Lidong, Cheng Fangjie, Wu Shaojie. An LSTM-based measurement method of 3D weld pool surface in GTAW[J]. Measurement, 2021, 171:32–34. LiLidong ChengFangjie WuShaojie An LSTM-based measurement method of 3D weld pool surface in GTAW[J] Measurement 2021 171 32 34 Search in Google Scholar

Boone Nicholas, Davies Matthew, Willmott Jon Raffe, et al. High-Resolution Thermal Imaging and Analysis of TIG Weld Pool Phase Transitions[J]. Sensors, 2020, 20(23):1–11. BooneNicholas DaviesMatthew WillmottJon Raffe High-Resolution Thermal Imaging and Analysis of TIG Weld Pool Phase Transitions[J] Sensors 2020 20 23 1 11 Search in Google Scholar

Yang Shuyin. Pattern recognition and intelligent computing[M]. Beijing: Electronic Industry Press, 2015. YangShuyin Pattern recognition and intelligent computing[M] Beijing Electronic Industry Press 2015 Search in Google Scholar

Kang Lishan. Computational intelligence[M]. Beijing: Science press, 2016. LishanKang Computational intelligence[M] Beijing Science press 2016 Search in Google Scholar

Zhu Daqi, Shi Hui. The principle and application of artificial neural network[M]. Beijing: Science press, 2006. ZhuDaqi ShiHui The principle and application of artificial neural network[M] Beijing Science press 2006 Search in Google Scholar

Gao Juan. The principle and simulation example of artificial neural network[M]. Beijing: China machine press, 2003. GaoJuan The principle and simulation example of artificial neural network[M] Beijing China machine press 2003 Search in Google Scholar

eISSN:
2444-8656
Langue:
Anglais
Périodicité:
Volume Open
Sujets de la revue:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics