Determination of Surface Roughness in Wire and Arc Additive Manufacturing Based on Laser Vision Sensing

被引:0
|
作者
Jun Xiong
Yan-Jiang Li
Zi-Qiu Yin
Hui Chen
机构
[1] Southwest Jiaotong University,School of Materials Science and Engineering
关键词
Wire and arc additive manufacturing; Surface roughness measurement; Laser vision sensing; Three-dimensional reconstruction;
D O I
暂无
中图分类号
学科分类号
摘要
Wire and arc additive manufacturing (WAAM) shows a great promise for fabricating fully dense metal parts by means of melting materials in layers using a welding heat source. However, due to a large layer height produced in WAAM, an unsatisfactory surface roughness of parts processed by this technology has been a key issue. A methodology based on laser vision sensing is proposed to quantitatively calculate the surface roughness of parts deposited by WAAM. Calibrations for a camera and a laser plane of the optical system are presented. The reconstruction precision of the laser vision system is verified by a standard workpiece. Additionally, this determination approach is utilized to calculate the surface roughness of a multi-layer single-pass thin-walled part. The results indicate that the optical measurement approach based on the laser vision sensing is a simple and effective way to characterize the surface roughness of parts deposited by WAAM. The maximum absolute error is less than 0.15 mm. The proposed research provides the foundation for surface roughness optimization with different process parameters.
引用
收藏
相关论文
共 50 条
  • [31] The Influence of Heat Input on the Surface Quality of Wire and Arc Additive Manufacturing
    Zeng, Jiayi
    Nie, Wenzhong
    Li, Xiaoxuan
    APPLIED SCIENCES-BASEL, 2021, 11 (21):
  • [32] Optimization of surface appearance for wire and arc additive manufacturing of Bainite steel
    Fu Youheng
    Wang Guilan
    Zhang Haiou
    Liang Liye
    The International Journal of Advanced Manufacturing Technology, 2017, 91 : 301 - 313
  • [33] Optimization of surface appearance for wire and arc additive manufacturing of Bainite steel
    Fu Youheng
    Wang Guilan
    Zhang Haiou
    Liang Liye
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 91 (1-4): : 301 - 313
  • [34] Heat Transfer to the Wire Based on Multiphysics Model for Wire Arc Additive Manufacturing
    Li, Yan
    Wu, Juanhui
    Yun, Ze
    Su, Chen
    IEEE TRANSACTIONS ON PLASMA SCIENCE, 2024, 52 (07) : 1 - 9
  • [35] Wire arc additive manufacturing simulator based on Vatti clipping
    Takasugi, Keigo
    Yamaguchi, Mitsugu
    Utsu, Kazuki
    Asakawa, Naoki
    JOURNAL OF MANUFACTURING PROCESSES, 2024, 127 : 43 - 50
  • [36] A-prori layer height determination for wire arc additive manufacturing based on weld geometry
    Maede, K.
    Kellerwessel, P. J.
    Sharma, R.
    Reisgen, U.
    MATERIALWISSENSCHAFT UND WERKSTOFFTECHNIK, 2024, 55 (07) : 995 - 1004
  • [37] Investigating the Impact of Robotic Milling Parameters on the Surface Roughness of Al-Alloy Fabricated by Wire Arc Additive Manufacturing
    Yan, Zhaoyang
    Ren, Xikang
    Zhao, Hongyan
    Chen, Shujun
    Materials, 2024, 17 (19)
  • [38] TIG assisted surface finish enhancement in MIG-based wire arc additive manufacturing
    Khan, Anas Ullah
    Chatterjee, Satyajit
    Madhukar, Yuvraj K.
    MANUFACTURING LETTERS, 2024, 40 : 26 - 30
  • [39] Mapping of Bead Geometry in Wire Arc Additive Manufacturing Systems Using Passive Vision
    Couto, Marcus O.
    Rodrigues, Arthur G.
    Coutinho, Fernando
    Costa, Ramon R.
    Leite, Antonio C.
    Lizarralde, Fernando
    Payao Filho, Joao C.
    JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, 2022, 33 (04) : 1136 - 1147
  • [40] Mapping of Bead Geometry in Wire Arc Additive Manufacturing Systems Using Passive Vision
    Marcus O. Couto
    Arthur G. Rodrigues
    Fernando Coutinho
    Ramon R. Costa
    Antonio C. Leite
    Fernando Lizarralde
    João C. Payão Filho
    Journal of Control, Automation and Electrical Systems, 2022, 33 : 1136 - 1147