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Open AccessFeature PaperArticle

Production of Low Cost Carbon-Fiber through Energy Optimization of Stabilization Process

1
School of Engineering, RMIT University, Melbourne, VIC 3001, Australia
2
Institute for Frontier Materials, Carbon Nexus, Deakin University, Waurn Ponds, VIC 3216, Australia
3
School of Engineering, Deakin University, Waurn Ponds, VIC 3216, Australia
4
Materials and Manufacturing Research Institute, University of British Columbia, Kelowna, BC V1V 1V7, Canada
*
Author to whom correspondence should be addressed.
Materials 2018, 11(3), 385; https://doi.org/10.3390/ma11030385
Received: 6 February 2018 / Revised: 26 February 2018 / Accepted: 28 February 2018 / Published: 5 March 2018
(This article belongs to the Special Issue Modeling and Simulation of Advanced Composite Materials)
To produce high quality and low cost carbon fiber-based composites, the optimization of the production process of carbon fiber and its properties is one of the main keys. The stabilization process is the most important step in carbon fiber production that consumes a large amount of energy and its optimization can reduce the cost to a large extent. In this study, two intelligent optimization techniques, namely Support Vector Regression (SVR) and Artificial Neural Network (ANN), were studied and compared, with a limited dataset obtained to predict physical property (density) of oxidative stabilized PAN fiber (OPF) in the second zone of a stabilization oven within a carbon fiber production line. The results were then used to optimize the energy consumption in the process. The case study can be beneficial to chemical industries involving carbon fiber manufacturing, for assessing and optimizing different stabilization process conditions at large. View Full-Text
Keywords: limited data; complex manufacturing systems; support vector machines; Artificial Neural Network; intelligent optimization techniques; system identification limited data; complex manufacturing systems; support vector machines; Artificial Neural Network; intelligent optimization techniques; system identification
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Golkarnarenji, G.; Naebe, M.; Badii, K.; Milani, A.S.; Jazar, R.N.; Khayyam, H. Production of Low Cost Carbon-Fiber through Energy Optimization of Stabilization Process. Materials 2018, 11, 385.

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