Abstract Polyacrylonitrile (PAN) is a versatile man-made polymer and has been used in a large array of products since its first mass production in the mid 40s. Among all applications of PAN the widely used application is in manufacture of precursor fiber for fabrication of carbon fibers. The process of PAN-based carbon fiber production comprises fiber spinning, thermal stabilization and carbonization stages. Carbon fiber properties are significantly dependent on the quality of PAN precursor fiber and in particular the process parameters involved in thermal stabilization. This paper is the first comprehensive review that provides a general understanding of the links between PAN fiber structure, properties, and its stabilization process along with the use of mathematical modelling as a powerful tool in prediction and optimization of the processes involved. Since the promise of the mathematical modelling is to predict the future behaviour of the system and the value of the variables for the unseen or unmeasured domain of variables; and in the era of industry 4.0 rise, this review will be valuable in further understanding of the intricate processes of carbon fiber manufacture and utilising the advanced mathematical modelling using machine learning techniques to predict and optimize a range of critical factors that control the quality of PAN and resultant carbon fibers.

中文翻译：

---

碳纤维生产中的 PAN 前驱体制造、应用和热稳定过程：实验和数学建模

摘要 聚丙烯腈 (PAN) 是一种多功能的人造聚合物，自 40 年代中期首次大规模生产以来，已用于多种产品。在 PAN 的所有应用中，广泛使用的应用是制造用于制造碳纤维的前体纤维。PAN基碳纤维的生产过程包括纤维纺丝、热稳定和碳化阶段。碳纤维的特性在很大程度上取决于 PAN 前体纤维的质量，尤其是涉及热稳定的工艺参数。这篇论文是第一篇综合评论，它提供了对 PAN 纤维结构、性能、及其稳定过程以及使用数学建模作为预测和优化相关过程的强大工具。由于数学建模的承诺是预测系统的未来行为以及变量的未知或未测量域的变量值；在工业 4.0 兴起的时代，这篇综述对于进一步了解碳纤维制造的复杂过程以及利用机器学习技术利用先进的数学建模来预测和优化控制 PAN 质量的一系列关键因素将具有重要价值。以及由此产生的碳纤维。