Volume Calculation Method of a Casting Pattern Using Mesh Reconstruction from the Point Cloud

被引:1
|
作者
Choi, Seung Joon [1 ]
Choi, Hyun Seok [1 ]
Kwon, Ki Youn [2 ]
机构
[1] Korea Construction Equipment Technol Inst, Gumi, South Korea
[2] Kumoh Natl Inst Technol, Sch Ind Engn, Gumi, South Korea
关键词
Mesh Reconstruction; Point Cloud; Volume Calculation;
D O I
10.3795/KSME-A.2023.47.3.295
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The casting industry is a key base technology for manufacturing. However, it faces many problems such as increasing material costs, environmental regulations, poor working conditions, and manpower problems. Many activities are being conducted to improve productivity and work environment in the casting field. In this study, we propose a volumetric measurement method for a pattern of sand casting to automatically control the discharge amount of sand -casting equipment. Two depth cameras are used to measure an object, and spherical targets are used to perform calibration to match the camera coordinate system. A quadrilateral mesh is generated by constructing a plane for the model, and the distance from each element to points is calculated. The volume is calculated by reconstructing quadrilateral elements using the element offset method. By comparing the accuracy with the precisely measured data, the feasibility was verified.
引用
收藏
页码:295 / 302
页数:8
相关论文
共 50 条
  • [21] Calculation Method of 3D Point Cloud Canopy Volume Based on Improved α-shape Algorithm
    Cheng G.
    Wang J.
    Yang J.
    Zhao Z.
    Wang L.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2021, 52 (05): : 175 - 183
  • [22] End-to-End Mesh Reconstruction from Partial Point Cloud based on Continuous Implicit Function
    Yu, Jiawei
    Huang, Xiaoshui
    Chen, Tao
    Yao, Yazhou
    Wang, Qiong
    FOURTEENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING, ICGIP 2022, 2022, 12705
  • [23] An Improved Method for Power-Line Reconstruction from Point Cloud Data
    Guo, Bo
    Li, Qingquan
    Huang, Xianfeng
    Wang, Chisheng
    REMOTE SENSING, 2016, 8 (01)
  • [24] A modified point cloud reconstruction method for complex surfaces
    Ma, Jian-wei
    Qu, Zi-wen
    Li, Guan-lin
    Zhang, Jian-zhou
    Li, Jia-Wei
    2020 3RD WORLD CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT MANUFACTURING (WCMEIM 2020), 2020, : 239 - 243
  • [25] A Novel Suface Reconstruction Method for Noisy Point Cloud
    Wan, Wenrui
    2014 IEEE WORKSHOP ON ELECTRONICS, COMPUTER AND APPLICATIONS, 2014, : 952 - 955
  • [26] A 3D Point Cloud Reconstruction Method
    Zhang, Yang
    Jia, Tong
    Chen, Yanqi
    Tan, Zexun
    2019 9TH IEEE ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2019), 2019, : 1310 - 1315
  • [27] Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction
    Beetz, Marcel
    Banerjee, Abhirup
    Grau, Vicente
    STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART: REGULAR AND CMRXMOTION CHALLENGE PAPERS, STACOM 2022, 2022, 13593 : 280 - 290
  • [28] Tomographic surface reconstruction from point cloud
    Nagai, Yukie
    Ohtake, Yutaka
    Suzuki, Hiromasa
    COMPUTERS & GRAPHICS-UK, 2015, 46 : 55 - 63
  • [29] Extensor Mechanism Reconstruction Using Marlex Mesh: Is Postoperative Casting Mandatory?
    Buller, Leonard T.
    Warth, Lucian C.
    Deckard, Evan R.
    Meneghini, R. Michael
    JOURNAL OF ARTHROPLASTY, 2020, 35 (12): : 3747 - 3753
  • [30] Calculating Volume of Pig Point Cloud Based on Improved Poisson Reconstruction
    Lin, Junyong
    Chen, Hongyu
    Wu, Runkang
    Wang, Xueyin
    Liu, Xinchang
    Wang, He
    Wu, Zhenfang
    Cai, Gengyuan
    Yin, Ling
    Lin, Runheng
    Zhang, Huan
    Zhang, Sumin
    ANIMALS, 2024, 14 (08):