Advanced Search
ZHANG Li-xia, FENG Ji-cai, LI Zhuo-ran, LIU Hui-jie. Effect of brazing fillers on shear stress in brazing fillet of TiC ceramic/cast iron[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2003, (5): 10-12.
Citation: ZHANG Li-xia, FENG Ji-cai, LI Zhuo-ran, LIU Hui-jie. Effect of brazing fillers on shear stress in brazing fillet of TiC ceramic/cast iron[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2003, (5): 10-12.

Effect of brazing fillers on shear stress in brazing fillet of TiC ceramic/cast iron

More Information
  • Received Date: January 21, 2003
  • By means of finite element numerical simulation,the effect of different brazing fillers on the shear stress in brazing fillet was investigated.The results show that no matter what brazing filler is used among Ni-based,Ti-based and Ag-based brazing fillers,the shear stress always concentrates on tip of TiC ceramic/cast iron interface of brazing fillet.When Ni-based and Ag-based brazing filler are used,the maximum value of shear stress occurs on brazing filler/TiC ceramic interface.WhenTi-based brazing filler is used,the maximum value of shear stress occurson iron/brazing filler interface.The quality of the joint brazing filler withAg-based brazing filler is best because of its low shear stress value.
  • Related Articles

    [1]TANG Quan, SHI Zhixin, MAO Zhiwei. Spatter analysis of rotating arc image based on multi threshold and neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2022, 43(12): 41-46. DOI: 10.12073/j.hjxb.20211219001
    [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]CHEN Yuquan, GAO Xiangdong. Neural network compensation for micro-gap weld detection by magneto-optical imaging[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(10): 33-36.
    [4]GAO Xiangdong, MO Ling, YOU Deyong, KATAYAMA Seiji. Prediction algorithm of weld seam deviation based on RBF neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (4): 1-4.
    [5]CHEN Zhenhua, SHI Yaowu, ZHAO Haiyan. Ultrasonic testing of spot weld based on spectrum analysis and artificial neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (10): 76-80.
    [6]DI Xinjie, LI Wushen, BAI Shiwu, LIU Fangming. Metal magnetic memory signal recognition by neural network for welding crack[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (3): 13-16.
    [7]YU Xiu-ping, SUN Hua, ZHAO Xi-ren, Alexandre Gavrilov. Weld width prediction based on artificial neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2005, (5): 17-19,45.
    [8]PENG Pai, WU Lin, TIAN JIN-Song, WANG Xue-feng, FENG Ying-jun. Application of Neural Networks in Welding Parameters's Planning of Robots[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2001, (4): 39-42.
    [9]CHEN Yi-ping, HU De-an, MA Lin, LI Tang-bai. Neural Network Model for DC Spot Welding of Aluminum-alloy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2000, (4): 20-23.
    [10]Peng Jinning, Chen Bingsen, Zhu Ping. Intelligent Design of Welding Procedure Parameters Based on Neural Networks[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1998, (1): 21-26.
  • Cited by

    Periodical cited type(2)

    1. 唐泽恬,张泽敏,张启龙,杨文韬. 基于颜色信息的SIFT特征描述子. 电子制作. 2025(07): 77-80 .
    2. 石鑫雨,方虹苏,熊润莲. 基于特征匹配的多环境图像拼接系统与设计. 计算机与网络. 2025(02): 103-109 .

    Other cited types(0)

Catalog

    Article views (205) PDF downloads (54) Cited by(2)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return