Please use this identifier to cite or link to this item:
Title: Melt pressure signature tracking using an adaptive Kalman filter in microinjection molding
Authors: Liu, H
Hu, H
Yung, KL 
Xu, Y
Zhang, XW
Issue Date: 2013
Publisher: Hindawi Publishing Corporation
Source: Advances in mechanical engineering, 2013, v. 2013, 801964 How to cite?
Journal: Advances in Mechanical Engineering 
Abstract: In order to manufacture high quality microproducts, the precision control of injected plastic melt in the injection chamber during a microinjection process requires real-time tracking of the melt pressure when the melt passes through the nozzle. A novel type of adaptive Kalman filter algorithm based on F-distribution is proposed in this paper. This adaptive Kalman filter can switch the system between the steady state and transient state by comparing the differences of input data in F-distribution. By resetting the Kalman gain and other relevant parameters, the adaptive function guarantees the convergence of the filtered signal during the tracking process and tracks the moments which sudden changes occur in the pressure signature. The simulation experiment results show that the method can reduce the effect of measurement noise more quickly and effectively. The method is proven to be effective for microinjection molding applications.
ISSN: 1687-8132
DOI: 10.1155/2013/801964
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.