Experimental and Numerical Study of Computer Vision-Based Real-Time Monitoring of Polymeric Particle Mixing Process in Rotary Drum

被引:0
|
作者
Byun, Junghyun [1 ]
Son, Kwon Joong [1 ]
机构
[1] Hongik Univ, Dept Mech & Design Engn, Sejong 30016, South Korea
关键词
polymer particle mixing; mixing process monitoring; computer vision; discrete element method; mixing index; drum mixer; DISCRETE ELEMENT METHOD; DEM SIMULATION; INDEX; SEGREGATION; DYNAMICS; SYSTEMS; MIXER;
D O I
10.3390/polym16111524
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
In the drum mixing of particulate polymers, segregation may occur. By measuring the mixing status in real time, it is possible to implement corrective measures to prevent separation and improve the efficiency of the process. This study aims to develop and validate a real-time vision system designed to monitor the mixing process of polymeric particles in a rotary drum mixer, employing a novel centroid-based model for determining the mixing index. The proposed centroid-based model is capable of addressing the radial particle segregation issue without the need for extra image-processing procedures like image subdivision or pixel randomization. This innovative approach greatly improves computational efficiency by processing over 68 image frames per second. The new processing method is 2.8 times faster than the gray-level co-occurrence matrix method and 21.6 times faster than the Lacey index approach. This significantly improves real-time monitoring capabilities and enables real-time image processing using only affordable single-board computers and webcams. The proposed vision-based system for monitoring rotary drum mixing has undergone validation via cross-validation using discrete element method simulations, ensuring its accuracy and reliability.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Computer vision-based real-time deflection monitoring of complex and sizeable steel structures
    Huang, Yongqi
    Feng, Ruoqiang
    Zhong, Changjun
    Tong, Xiaoyu
    Shao, Xinxing
    Gu, Liuning
    Hui, Ze
    ENGINEERING STRUCTURES, 2024, 305
  • [2] Computer Vision-Based Real-Time Identification of Vehicle Loads for Structural Health Monitoring of Bridges
    Yang, Jiaxin
    Bao, Yan
    Sun, Zhe
    Meng, Xiaolin
    SUSTAINABILITY, 2024, 16 (03)
  • [3] Computer vision-based real-time monitoring for swivel construction of bridges: from laboratory study to a pilot application
    Zhang, Shilong
    Liu, Changyong
    Feng, Kailun
    Xia, Chunlai
    Wang, Yuyin
    Wang, Qinghe
    ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2024,
  • [4] A Low-Complexity Vision-Based System for Real-Time Traffic Monitoring
    Isaac Engel, Juan
    Martin, Juan
    Barco, Raquel
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (05) : 1279 - 1288
  • [5] Collaborative real-time vision-based device for olive oil production monitoring
    Sukovic, Matija
    Jovancevic, Igor
    2024 13TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING, MECO 2024, 2024, : 236 - 241
  • [6] Application of Various YOLO Models for Computer Vision-Based Real-Time Pothole Detection
    Park, Sung-Sik
    Tran, Van-Than
    Lee, Dong-Eun
    APPLIED SCIENCES-BASEL, 2021, 11 (23):
  • [7] A vision-based monitoring approach for real-time control of laser origami cybermanufacturing processes
    Wang, Zimo
    Iquebal, Ashif Sikandar
    Bukkapatnam, Satish T. S.
    46TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE, NAMRC 46, 2018, 26 : 1307 - 1317
  • [8] Real-time monitoring of elderly people through computer vision
    Ravankar, Abhijeet
    Rawankar, Arpit
    Ravankar, Ankit A.
    ARTIFICIAL LIFE AND ROBOTICS, 2023, 28 (03) : 496 - 501
  • [9] A Real-Time Computer Vision Monitoring Way for Animal Diversity
    Lin Kaiyan
    Yang Xuejun
    Wu Junhui
    Chen Jie
    Si Huiping
    2012 WORLD AUTOMATION CONGRESS (WAC), 2012,
  • [10] Real-time monitoring of elderly people through computer vision
    Abhijeet Ravankar
    Arpit Rawankar
    Ankit A. Ravankar
    Artificial Life and Robotics, 2023, 28 : 496 - 501