|
|
|
|
|
|
Calculation of Arc Ignition Temperature of Underwater Wet Welding Under Different Water Depths |
LI Zhi-gang1, LIU De-jun1, ZHANG Shi-shuai1, XU Xiang1, YE Jian-xiong2 |
1. Key Laboratory of Vehicle Tools and Equipment, Ministry of Education, East China Jiaotong University, Nanchang 330013, China
2. School of Mechanical and Electrical Engineering, Nanchang Institute of Technology, Nanchang 330099, China |
|
|
Abstract Underwater wet welding technology has been widely used in recent years, but there are few pieces of research on the physical nature of underwater wet welding arcing process now. In this paper, an underwater wet welding arc spectrum diagnosis platform was set up, voltage and spectrum signals in the welding process were collected simultaneously under different water depth conditions to define the arcing stage of underwater wet welding. The high-speed camera recorded the arcing process of underwater wet welding to observe the underwater dynamic changes such as arc and bubble more intuitively. On this basis, spectral signals of 5,10,15,20 and 25 ms were collected by the spectrometer, the arc spectrum at a different time under different water depth conditions was obtained by changing the water depth condition. According to the principle of line selection, the Fe elements were selected as the characteristic elements to calculate the arc temperature of underwater wet welding. We selected five sets of data at a different time of arc initiation and averaged them by statistical analysis method to ensure the accuracy and reliability of the calculation results. Five suitable lines were selected from the Fe element line as the target line to calculate the arc temperature of underwater wet welding arc-initiating process. And the plasma temperature of underwater wet welding at different time under different water depth conditions was calculated by Boltzmann graphic method. The results show that the arc plasma temperature changes with the increase of arc initiation time, but its variation trend is not a simple linear increase, but a peak at different times of arc initiation. With the increase of water depth, the temperature of underwater wet welding arc plasma also increases, but the rising trend of arc temperature begins to change slowly. The increase in arc temperature at a depth of 40 m relative to a depth of 20 m is lower than the increase in arc temperature at a depth of 20 m relative to a depth of 0.3 m. With the increase of water depth, the increase of underwater environment pressure causes the arc to be further compressed, but the compression amount is limited. As the arc is compressed, the intensity of the arc light also increases. By means of spectral analysis, the physical nature of the arc-initiating process in wet-welding under water is learned from the perspective of arc physics, which provides an important reference for understanding the micro-breakdown mechanism during the arc establishment process and further improving the stability of the arc starting process in actual production.
|
Received: 2020-04-21
Accepted: 2020-08-30
|
|
|
[1] MA Yun-he, LI Zhi-zun, SUN Li(马云鹤,李至尊,孙 立). Hot Working Technology(热加工工艺), 2018, 47(17): 10.
[2] JIAO Xiang-dong, ZHOU Can-feng(焦向东, 周灿丰). Welding & Joining(焊接), 2015,(12): 6,69.
[3] Grzegorz Rogalski, Dariusz Fydrych, Jerzy Łabanowski. Polish Maritime Research, 2017, 24(s1):188.
[4] BI Feng-qin, LI Hui-xing, SUN Zhen-xu, et al(毕凤琴, 李会星, 孙振旭, 等). Materials Review(材料导报), 2014, 28(23): 51.
[5] Ivkovic M, Konjevic N. Spectrochimica Acta Part B: Atomic Spectroscopy, 2017, 131: 79.
[6] Waheed S, Bashir S, Dawood A, et al. Optik, 2017, 140: 536.
[7] WANG Ji-zong, HUANG Ji-qiang, HUANG Jun-fen, et al(汪继宗, 黄继强, 黄军芬, 等). Welding & Joining(焊接), 2019, (10): 25.
[8] TU Wan-hong, HU Sheng-sun, MENG Ying-qian, et al(涂万鸿,胡绳荪,孟英谦,等). Electric Welding Machine(电焊机),2002,32(12): 13.
[9] Jia C, Zhang T, Maksimov S Y, et al. Journal of Materials Processing Technology, 2013, 213(8): 1370.
[10] GUO Wei, GUO Ning, DU Yong-peng, et al(郭 伟, 郭 宁, 杜永鹏, 等). Transaction of the China Welding Institution(焊接学报), 2016, 37(10): 13.
[11] Ralchenko Y, Kramida A E, Reader J, et al. NIST Atomic Spectra Database[DB/OL]. [2019-04-10] . http://www.nist.gov/pml/data/asd.cfm.
[12] SI Hong, HUA Xue-ming, ZHANG Wang, et al(斯 红, 华学明, 张 旺, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2012, 32(9): 2311. |
[1] |
LEI Bing-ying1, 2, XU Bo-ping1, 2, WANG Yi-shan1, 2, ZHU Xiang-ping1, 2, DUAN Yi-xiang3, ZHAO Wei1, 2, TANG Jie1*. Investigation of the Spectral Characteristics of Laser-Induced Plasma for Non-Flat Samples[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3024-3030. |
[2] |
SUN Dai-qing1, 2, XIE Li-rong1*, ZHOU Yan2, GUO Yu-tao1, CHE Shao-min2. Application of SG-MSC-MC-UVE-PLS Algorithm in Whole Blood Hemoglobin Concentration Detection Based on Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2754-2758. |
[3] |
WU Jiang-bo, JIA Yun-wei*, YAO Cheng-bin, HAO Chen-xiang, WANG Kun. Spectrum Signal Extraction Algorithm and Application Based on Saliency and Statistics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2294-2300. |
[4] |
LI Zhi-gang1, ZHANG Shi-shuai1, LIU De-jun1, XU Xiang1, YE Jian-xiong2. Study on the Number Density of Underwater Welding Arc Plasma Under Different Water Depth[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(04): 1151-1156. |
[5] |
SUN Ran, HAO Xiao-jian*, YANG Yan-wei, REN Long. Effect of Cavity Confinement Materials on Laser-Induced Breakdown Cu Plasma Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(12): 3801-3805. |
[6] |
JIA Hao-yue1, 2, GUO Gu-qing3*, ZHAO Fu-qiang1, 2, HU Yong3, LI Chuan-liang3. Investigation on Hardness of D2 Steel Based on Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(12): 3895-3900. |
[7] |
LI Zhi-gang, XU Xiang, LI Yang, HUANG Wei. Study on Plasma Temperature and Electron Density During Arc Initiation by Underwater Wet Welding[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(11): 3404-3408. |
[8] |
YUAN Bei, NING Ri-bo, LI Qian, HAN Yan-li, XU Song-ning*. Study on Spectral Characteristics of Laser-Induced Breakdown Copper Alloy at 80 ns Long Pulse Width Under Low Air Pressure[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(09): 2891-2895. |
[9] |
LI Zhi-gang, XU Xiang, LI Yang, HUANG Wei. Calculation of Arc Plasma Components in Underwater Wet Welding Based on Arc Spectrum Diagnosis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(07): 2098-2103. |
[10] |
YU Yang, ZHAO Nan-jing, FANG Li, MENG De-shuo,GU Yan-hong, WANG Yuan-yuan, JIA Yao, MA Ming-jun, LIU Jian-guo, LIU Wen-qing. Comparative Study on Laser Induced Breakdown Spectroscopy Based on Single Pulse and Re-Heating Orthogonal Dual Pulse [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(02): 588-593. |
[11] |
ZHANG Hua1, WU Jian-jun1*, HE Zhen1, LI Shi-liang2, ZHANG Yu1. Study on Plasma Characteristics in a Pulsed Plasma Thruster by Optical Emission Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(06): 1867-1871. |
[12] |
LIU Li, XIAO Ping-ping . Accuracy Improvement of Temperature Calculation of the Laser-Induced Plasma Using Wavelet Transform Baseline Subtraction [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(02): 545-549. |
[13] |
LIU Yan-ping, GAO Guo-rong*, GONG Ning, HUANG Rui-hua. Infrared Spectrum Denoising with Combination of Lifting Wavelet Domain Thresholding and Median Filtering [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(08): 2085-2088. |
[14] |
LU Cui-ping, LIU Wen-qing*, ZHAO Nan-jing, LIU Li-tuo, CHEN Dong, ZHANG Yu-jun, LIU Jian-guo . Influence of Humidity on Characteristic of Laser-Induced Soil Plasmas [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(11): 2885-2888. |
[15] |
ZHAO Zhi-gang1, ZHAO Wei1*, Claire Gu2, HUANG Song-ling1 . A Spectrum Signals Detection Method for Surface Enhanced Raman Scattering under High Fluorescence and Background Noise [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(08): 2146-2150. |
|
|
|
|