Computer Vision Method for In Situ Measuring Forming Accuracy of 3D Sand Mold Printing

被引:1
|
作者
Guo, Shuren [1 ]
Li, Shang [1 ]
Wang, Lanxiu [1 ]
Cao, Huatang [1 ]
Xiang, Dong [1 ]
Dong, Xuanpu [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Mat Sci & Engn, State Key Lab Mat Proc & Die & Mould Technol, Wuhan 430074, Peoples R China
关键词
three-dimensional sand mold printing; computer vision; forming accuracy; convolutional neural network; non-maximum suppression;
D O I
10.3390/machines11030330
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The three-dimensional sand mold printing technology (3DSP) for casting sand molds via a binding jet is a breakthrough in the casting mold-making process. It is a favorable combination of digital forming technology and sand casting, which is a significantly interesting research area in the foundry industry. This study has proposed an edge extraction approach for the forming region in the sand bed image. With the edge information, the study measures the forming accuracy of the printed molds, which offers a basis for assessing the forming quality after 3DSP. The extracted edges essentially match the original image through the validation of cube printing. The error between the measured and actual size is below 0.6 mm, and the standard deviation of the straight line edge is below 0.170 mm, which fulfills the accuracy requirements for 3D sand mold printing.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Application of 3D printing in sheet metal forming
    Klimyuk, Daniil
    Serezhkin, Mikhail
    Plokhikh, Andrey
    MATERIALS TODAY-PROCEEDINGS, 2021, 38 : 1579 - 1583
  • [42] Computer Vision for 3D Perception A Review
    O' Mahony, Niall
    Campbell, Sean
    Krpalkova, Lenka
    Riordan, Daniel
    Walsh, Joseph
    Murphy, Aidan
    Ryan, Conor
    INTELLIGENT SYSTEMS AND APPLICATIONS, INTELLISYS, VOL 2, 2019, 869 : 788 - 804
  • [43] 3D shape estimation in computer vision
    Torreao, Jose R.A.
    Controle and Automacao, 1999, 10 (02): : 118 - 123
  • [44] Computer Vision for 3D Perception and Applications
    Poggi, Matteo
    Moeslund, Thomas B.
    SENSORS, 2021, 21 (12)
  • [45] Benchmark Datasets for 3D Computer Vision
    Guo, Yulan
    Zhang, Jun
    Lu, Min
    Wan, Jianwei
    Ma, Yanxin
    PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2014, : 1846 - 1851
  • [46] An Accuracy Temperature Sensor for 3D Printing Technology
    Chen, Hou-Ming
    Lin, Kuang-Hao
    Jheng, Shih-Han
    Wang, Tai-Jhen
    Huang, Yi-Rong
    Huang, Xian-Ji
    2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW), 2016, : 209 - 210
  • [47] Accuracy of Polylactide Parts Made by 3D Printing
    Hrituc, Adelina
    Slatineanu, Laurentiu
    Mihalache, Andrei
    Dodun, Oana
    Coteata, Margareta
    Nagit, Gheorghe
    MACROMOLECULAR SYMPOSIA, 2020, 389 (01)
  • [48] The method of art design and cultural fusion based on 3D computer vision
    Qiao Yingjie
    AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (01): : 2331 - 2335
  • [49] A computer vision based method for 3D posture estimation of symmetrical lifting
    Mehrizi, Rahil
    Peng, Xi
    Xu, Xu
    Zhang, Shaoting
    Metaxas, Dimitris
    Li, Kang
    JOURNAL OF BIOMECHANICS, 2018, 69 : 40 - 46
  • [50] 3D printing for rapid sand casting-A review
    Upadhyay, Meet
    Sivarupan, Tharmalingam
    El Mansori, Mohamed
    JOURNAL OF MANUFACTURING PROCESSES, 2017, 29 : 211 - 220