Profile monitoring based quality control method for fused deposition modeling process

被引:0
|
作者
Ketai He
Qian Zhang
Yili Hong
机构
[1] University of Science and Technology Beijing,School of Mechanical Engineering
[2] Virginia Tech,Department of Statistics
来源
关键词
Fused deposition modeling; Machine vision; Profile monitoring; Quality control; Statistical process control;
D O I
暂无
中图分类号
学科分类号
摘要
In order to monitor the quality of parts in printing, the methodology to monitor the geometric quality of the printed parts in fused deposition modeling process is researched. A non-contact measurement method based on machine vision technology is adopted to obtain the precise complete geometric information. An image acquisition system is established to capture the image of each layer of the part in building and image processing technology is used to obtain the geometric profile information. With the above information, statistical process control method is applied to monitor the geometric quality of the parts during the printing process. Firstly, a border signature method is applied to transform complex geometry into a simple distance-angle function to get the profile deviation data. Secondly, monitoring of the profile deviation data based on profile monitoring method is studied and applied to achieve the goal of layer-to-layer monitoring. In the research, quantile-quantile plot method is used to transform the profile deviation point cloud data monitoring problem into a linear profile relationship monitoring problem and EWMA control charts are established to monitor the parameters of the linear relationship to detect shifts occurred in the Fused Deposition Modeling process. Finally, laboratory experiments are conducted to demonstrate the effectiveness of the proposed approach.
引用
收藏
页码:947 / 958
页数:11
相关论文
共 50 条
  • [1] Profile monitoring based quality control method for fused deposition modeling process
    He, Ketai
    Zhang, Qian
    Hong, Yili
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2019, 30 (02) : 947 - 958
  • [2] Process Monitoring of Fused Deposition Modeling through Profile Control
    Wu, Yi
    He, Ketai
    Hu, Huaqing
    Zhao, Xue
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON CYBORG AND BIONIC SYSTEMS (CBS), 2018, : 346 - 350
  • [3] Machine Vision based Statistical Process Control in Fused Deposition Modeling
    Wu Yi
    He Ketai
    Zhou Xiaomin
    Ding Wenying
    [J]. PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, : 936 - 941
  • [4] Process-Parameter Optimization for Fused Deposition Modeling Based on Taguchi Method
    Zhang Jinwen
    Peng Anhua
    [J]. MATERIALS PROCESSING TECHNOLOGY II, PTS 1-4, 2012, 538-541 : 444 - 447
  • [5] In-situ monitoring of the deformation during Fused Deposition Modeling process using CGS method
    Li, Jiaqiang
    Xie, Huimin
    Ma, Kang
    [J]. POLYMER TESTING, 2019, 76 : 166 - 172
  • [6] Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process
    Sun, Hongyue
    Rao, Prahalad K.
    Kong, Zhenyu
    Deng, Xinwei
    Jin, Ran
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2018, 15 (01) : 393 - 403
  • [7] Effect of process parameters on parts quality and process efficiency of fused deposition modeling
    Galetto, Maurizio
    Verna, Elisa
    Genta, Gianfranco
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 156
  • [8] Image Monitoring Study on Fused Deposition Modeling (FDM) Fabrication Process
    Tsai, Hung-Yin
    Hsu, Wei-Yuan
    Chen, Yi-Hung
    Tsao, Che-Chih
    [J]. JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, 2018, 39 (06): : 537 - 544
  • [9] Quality assurance and process monitoring of fused deposition modelling made parts
    Stephen, A. O.
    Dalgarno, K. W.
    Munguia, J.
    [J]. HIGH VALUE MANUFACTURING: ADVANCED RESEARCH IN VIRTUAL AND RAPID PROTOTYPING, 2014, : 31 - 35
  • [10] An Experimental Study on the Energy Consumption and Emission Profile of Fused Deposition Modeling Process
    Simon, Timothy R.
    Lee, Wo Jae
    Spurgeon, Benjamin E.
    Boor, Brandon E.
    Zhao, Fu
    [J]. 46TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE, NAMRC 46, 2018, 26 : 920 - 928