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Modelling for injection moulding process based on principal component regression method

conference contribution
posted on 2010-01-01, 00:00 authored by Nong Gu, Douglas CreightonDouglas Creighton, Saeid Nahavandi
Determination of the optimal operating condition for moulding process has been of special interest for many researchers. To determine the optimal setting, one has to derive the model of injection moulding process first which is able to map the relationship between the input process control factors and output responses. One of most popular modeling techniques is the linear least square regression due to its effectiveness and completeness. However, the least square regression was found to be very sensitive to the outliers and failed to provide a reliable model if the control variables are highly related with each other. To address this problem, a new modeling method based on principal component regression was proposed in this paper. The distinguished feature of our proposed method is it does not only consider the variance of covariance matrix of control variables but also consider the correlation coefficient between control variables and target variables to be optimised. Such a modelling method has been implemented into a commercial optimisation software and field test results demonstrated the performance of the proposed modelling method.

History

Event

International Conference on Advances in Materials and Processing Technologies (2010 : Paris, France)

Series

AIP Conference Proceedings, v.1315 Part Two

Pagination

695 - 700

Publisher

American Institue of Physics (API)

Location

Paris, France

Place of publication

Melville, New York

Start date

2010-10-24

End date

2010-10-27

ISSN

0094-243X

ISBN-13

9780735408715

Language

eng

Publication classification

E3 Extract of paper

Copyright notice

2010, American Institute of Physics

Editor/Contributor(s)

F Chinesta, Y Chastel, M El Mansori

Title of proceedings

AMPT 2010 : AIP Conference Proceedings : International Conference on Advances in Materials and Processing Technologies