Sensor -Based Process Monitoring by Inline Bubble Detection in Blown Film Extrusion

被引:0
|
作者
Dohm, Christoph [1 ]
Schiffers, Reinhard [1 ]
机构
[1] Univ Duisburg Essen, Inst Prod Engn Engn Design & Plast Machinery, Lotharstr 1, D-47057 Duisburg, Germany
关键词
D O I
10.1063/5.0137076
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
One key requirement for highly efficient production processes are steady and robust process conditions because they are most likely to ensure a constant product quality at the desired level. In blown film extrusion, film properties are predominantly influenced within the bubble formation zone, where the molten polymer expands from a thick-walled tube to a solid thin-walled sensitive film bubble. The characteristic bubble shape or contour, respectively, represents the state of balance resulting from all underlying process conditions and therefore its inline detection offers potential for an advanced process monitoring. Against this backdrop, the use of different measuring techniques, such as pyrometry, imaging or distance measurement, aims at an extensive and accurate description of the expanding film bubble. As a first step, a measurement setup for such an inline detection is presented in this paper. Initial measurement results from experimental tests on a small-scale blown film line confirmed the general applicability of the three techniques. Moreover, some key requirements and limitations regarding inline bubble detection have been identified. Future work in this current research project involves the development of a simulation model for the expanding film bubble that is based on the given sensor signals and allows process monitoring with focus on the film's quality.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] The development and validation of a quality by design based process analytical tool for the inline quantification of Ramipril during hot -melt extrusion
    Dadou, Suha M.
    Senta-Loys, Zoe
    Almajaan, Ammar
    Li, Shu
    Jones, David S.
    Healy, Anne M.
    Tian, Yiwei
    Andrews, Gavin P.
    INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2020, 584
  • [42] Process Monitoring of Moisture Content and Mass Transfer Rate in a Fluidised Bed with a Low Cost Inline MEMS NIR Sensor
    Claudio R. Avila
    Joan Ferré
    Rodrigo Rocha de Oliveira
    Anna de Juan
    Wayne E. Sinclair
    Faiz M. Mahdi
    Ali Hassanpour
    Timothy N. Hunter
    Richard A. Bourne
    Frans L. Muller
    Pharmaceutical Research, 2020, 37
  • [43] A SMART sensor and process monitoring based on enhanced sensor reliability for sustainable operation
    Yoo, ChangKyoo
    2007 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-6, 2007, : 2538 - 2542
  • [44] Process Monitoring of Moisture Content and Mass Transfer Rate in a Fluidised Bed with a Low Cost Inline MEMS NIR Sensor
    Avila, Claudio R.
    Ferre, Joan
    de Oliveira, Rodrigo Rocha
    de Juan, Anna
    Sinclair, Wayne E.
    Mahdi, Faiz M.
    Hassanpour, Ali
    Hunter, Timothy N.
    Bourne, Richard A.
    Muller, Frans L.
    PHARMACEUTICAL RESEARCH, 2020, 37 (05)
  • [45] Development of packaging based on PLA/POE/SeNPs nanocomposites by blown film extrusion method: Physicochemical, structural, morphological and antioxidant properties
    Zibaei, Rezvan
    Ebrahimi, Behzad
    Rouhi, Milad
    Hashami, Zahra
    Roshandel, Zahra
    Hasanvand, Sara
    Guimaraes, Jonas de Toledo
    Goharifar, Marieh
    Mohammadi, Reza
    FOOD PACKAGING AND SHELF LIFE, 2023, 38
  • [46] The process of immobilizing enzyme of glucose sensor based on diamond film
    Ran, JG
    Gou, L
    Liu, Y
    Zheng, CQ
    Tang, FQ
    SUPRAMOLECULAR SCIENCE, 1998, 5 (5-6): : 699 - 700
  • [47] Examination of inline process monitoring of the cross-wedge rolling process using AI-based image recognition
    Merkel, Paulina
    Doede, Nils
    Kriwall, Mareile
    Stonis, Malte
    Behrens, Bernd-Arno
    PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT, 2024,
  • [48] Hydrogen bubble bubble dynamic template fabrication of nanoporous Cu film supported by graphene nanaosheets: A highly sensitive sensor for detection of nitrite
    Majidi, Mir Reza
    Ghaderi, Seyran
    TALANTA, 2017, 175 : 21 - 29
  • [49] High-Sensitive Bubble Level-Based Triboelectric Sensor for Motion Monitoring
    Zhang, Xiaolong
    Ying, Rushun
    ENERGY TECHNOLOGY, 2025,
  • [50] Investigation of Extrusion Fibrosis of PTFE Microporous Film During Extrusion Process Based on Air Permeability Experiments and Theoretical Analysis
    Fei, Chuanjun
    Chen, Weifang
    Zhu, Liping
    Bai, Yafei
    JOM, 2025,