| Issue |
E3S Web of Conf.
Volume 406, 2023
2023 9th International Conference on Energy Materials and Environment Engineering (ICEMEE 2023)
|
|
|---|---|---|
| Article Number | 04021 | |
| Number of page(s) | 5 | |
| Section | Geographic Remote Sensing Application and Environmental Modeling | |
| DOI | https://doi.org/10.1051/e3sconf/202340604021 | |
| Published online | 31 July 2023 | |
Dynamic Optimization of Carbonization Process Parameters Based on Genetic Programming
Department of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
* alizhaowei19971209@whut.edu.cn
The properties of carbon fiber are closely related to the carbonization process, in which high temperature carbonization is the key factor affecting its strength, modulus and other properties. In order to solve the problem that it is difficult to adapt to the complex industrial production environment and the dynamic factors existing in the carbonization process, taking the furnace temperature and heating rate of high temperature furnace as decision variables, energy consumption and yield as optimization objectives, and element temperature as dynamic factors, the dynamic optimization model of carbonization process parameters is established and the validity of the model is verified. Aiming at the parameter optimization problem of carbonization process in uncertain environment, a dynamic multi-objective optimization algorithm of carbonization process parameters based on genetic programming and knowledge transfer is proposed. And compare it with other latest algorithms to prove its efficiency and advantages.
© The Authors, published by EDP Sciences, 2023
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