GOALI: Modeling the Polymer Microstructure in the High-Speed Fiber Spinning Process

这个GOALI学术联系机会(GOALI)研究项目将通过研究加工参数与纤维的机械和物理性能之间的关系来解决生产具有所需微观结构的聚合物纤维所面临的挑战。纤维纺丝过程中卷绕速度和拉伸倍数等工艺条件决定了半晶组织的产生。目前对过程/属性关系的理解大多是经验性的，基于实验和试错。该项目将通过描述与过程的长度和时间尺度的差异有关的内部微观结构来解决基本的复杂性，并将采用基于非平衡热力学的哈密顿形式的分层建模方法。基于使用哈密顿方法获得的演化方程所支配的平均链变形的动力学的微观和中尺度耦合建模方案将与从该大学-工业合作中的行业获得的在线和离线实验数据进行测试。预计这将带来更好的型号，允许优化高速纤维纺丝工艺，从而获得更高的产品质量和更低的加工成本。行业人员也将发挥积极作用，为学生提供教育经验。

This Grant Opportunities for Academic Liaison with Industry (GOALI) research project will address the challenges of producing polymer fibers with desired microstructures by investigating the relationship between the processing parameters and the mechanical and physical properties of the fibers. The production of a semicrystalline microstructure is dictated by the processing conditions, such as the take-up speed and the draw ratio in the fiber spinning process. The current understanding of the process/property relationship is mostly empirical, based on experiments and trial and error. This project will address the fundamental complexity by characterizing the internal microstructures as related to the differences in the length and time scales of the process, and will undertake a hierarchical modeling approach based upon the Hamiltonian formalism of non-equilibrium thermodynamics. A coupled micro- and meso-scale modeling scheme based upon the dynamics of the mean chain deformations that are governed by evolution equations obtained using the Hamiltonian approach will be tested against on-line and off-line experimental data obtained from the industry in this University-Industry collaboration. This is expected to lead to better models that allow for an optimization of the high-speed fiber spinning process resulting in superior product quality and a lower processing cost. The industry personnel will take an active role in providing educational experiences for the students as well.