@inproceedings{58279c55a55b4def86e9a3c98d277761,
title = "Advanced Modelling and Optimization of Infared Oven in Injection Stretch Blow-moulding for Energy Saving",
abstract = "In the production process of polyethylene terephthalate (PET) bottles, the initial temperature of preforms plays a central role on the final thickness, intensity and other structural properties of the bottles. Also, the difference between inside and outside temperature profiles could make a significant impact on the final product quality. The preforms are preheated by infrared heating oven system which is often an open loop system and relies heavily on trial and error approach to adjust the lamp power settings. In this paper, a radial basis function (RBF) neural network model, optimized by a two-stage selection (TSS) algorithm combined with partial swarm optimization (PSO), is developed to model the nonlinear relations between the lamp power settings and the output temperature profile of PET bottles. Then an improved PSO method for lamp setting adjustment using the above model is presented. Simulation results based on experimental data confirm the effectiveness of the modelling and optimization method.",
author = "Ziqi Yang and Wasif Naeem and Gary Menary and Jing Deng and Kang Li",
year = "2014",
month = aug,
day = "24",
doi = "10.3182/20140824-6-ZA-1003.01191",
language = "English",
isbn = "978-3-902823-62-5",
volume = "19 ",
series = "World Congress",
publisher = "International Federation of Automatic Control",
number = "1",
pages = "766--771",
editor = "Edward Boje and Xiaohua Xia",
booktitle = "Proceedings of the 19th IFAC World Congress",
note = "19th World Congress of the International Federation of Automatic Control 2014, IFAC 2014 ; Conference date: 24-08-2014 Through 29-08-2014",
}