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Online Wall Thickness Control for Blow Molded Part Using Fuzzy Iterative Learning Control Algorithm

[+] Author Affiliations
Geng-Qun Huang, Han-Xiong Huang

South China University of Technology, Guangzhou, China

Paper No. IMECE2007-43394, pp. 39-44; 6 pages
  • ASME 2007 International Mechanical Engineering Congress and Exposition
  • Volume 3: Design and Manufacturing
  • Seattle, Washington, USA, November 11–15, 2007
  • Conference Sponsors: ASME
  • ISBN: 0-7918-4297-5 | eISBN: 0-7918-3812-9
  • Copyright © 2007 by ASME


Blow molded parts require a strict control of the wall thickness distributions so as to achieve the required mechanical performance and to minimize the usage of material. In this work, an online wall thickness control strategy for the extrusion blow molded part was presented. A multichannel ultrasonic thickness measuring system was used to obtain the part wall thickness. A feedback control system based on fuzzy iterative learning control (ILC) algorithm was designed and implemented to control the part thickness. Instead of using the pure numerical method, engineer knowledge and experience were combined in the control algorithm using fuzzy rules. The results showed that the online wall thickness control system developed in this work can automatically achieve the die gap profile and the resulting part thickness can satisfy the desire thickness distribution.

Copyright © 2007 by ASME



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