Mathematical simulation of wet spinning coagulation process: Dynamic modeling and numerical results

Xu, Nan; Ding, Yongsheng; Schiesser, William E.; Kothare, Mayuresh V.

doi:10.1002/aic.15426

Cited by 10 publications

(4 citation statements)

References 13 publications

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“…In addition, the principle of forming the outer polyurethane shell is depicted in Figure a. The diffusion of solvent DMF to deionized water and the diffusion of deionized water to the polyurethane inks make the sheath solid . The process of the silver-plated conductive core fiber transforming into a spiral state is illustrated in Figure b,c.…”

Section: Resultsmentioning

confidence: 99%

Template-Free and Stretchable Conductive Fiber with a Built-In Helical Structure for Strain-Insensitive Signal Transmission

Liu,

Tang,

Guo

et al. 2023

ACS Appl. Mater. Interfaces

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With the rapid development of intelligent electronic devices, conductive fibers have become very critical to signal transmission devices. However, metal-based rigid conductive wires, such as high-modulus copper and silver wires, are prone to signal failure owing to tensile breakage under large strain conditions. Therefore, strain-insensitive stretchable conductive fibers for signal transmission are critical for next-generation wearable devices. Herein, a stretchable conductive fiber with a built-in helical structure is constructed by a "speed discrepancy" fiber-coating strategy with mass scalable production (60 cm/min). Such a "speed discrepancy" strategy is the key mechanism to template-free fabricate a built-in helical structure of the stretchable conductive fiber. The resultant fiber exhibits high conductivity (873 S/cm), stable insensitive signal transmission with a high quality factor (47.4), and a low relative resistance change (∼6%) under large strain. The built-in helical structure inspired by loofah whiskers endows the fiber with excellent strain insensitivity, and it can withstand large strains. On the proof of concept, our fiber can be seamlessly knitted, woven, and braided into smart textiles as an ideal signal transmission device under large strains, which will undoubtedly promote the development of intelligent electronic textiles and next-generation wearable devices.

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Section: Resultsmentioning

confidence: 99%

Template-Free and Stretchable Conductive Fiber with a Built-In Helical Structure for Strain-Insensitive Signal Transmission

Liu,

Tang,

Guo

et al. 2023

ACS Appl. Mater. Interfaces

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“…The mechanism model of the coagulating process can be written as Equation (1) shows. [2] shows detailed model parameters.…”

Section: Problems Descriptionmentioning

confidence: 99%

“…the coagulating process can be expressed as Equation(2), where f represents the previous mechanism model, t represents different coagulation bath environments, and H and L represent the upper and lower bounds of decision variables.…”

mentioning

confidence: 99%

Dynamic Multi-objective Optimization for Coagulating Process of Carbon Fiber Precursor Based on Lifelong Learning

Liu

Liang

Zhang

et al. 2023

J. Phys.: Conf. Ser.

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Process parameter optimization is an essential link in the coagulating process of carbon fiber. In this paper, considering the dynamic factors of the coagulating bath environment, a dynamic multi-objective optimization problem (DMOP) model for the coagulating process is constructed with process parameters as decision variables and performance indicators as optimization objectives. We combine lifelong learning (LLL) and multi-objective optimization to solve this model and propose a lifelong learning-based dynamic multi-objective evolutionary algorithm (LLL-DMOEA). In LLL-DMOEA, the lifelong learning method is used to learn common knowledge in historical environments. After the arrival of the new environment, we use the common knowledge to generate a high-quality initial population and speed up the process of the multi-objective optimization algorithm to find the Pareto-optimal set (POS) in the new environment. At the same time, common knowledge only requires information in historical environments. The response time to environmental changes can be sped up by learning before the new environment arrives. Experimental results show that the proposed algorithm can effectively solve the optimization problem of process parameters in the coagulating process.

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“…Most models describing the fiber formation process are based on the solution of the diffusion equations [26,27,30,31]. Their reasonable use allows us to learn the main aspects of the kinetics of mass exchange between the fiber and the coagulation bath.…”

Section: Introductionmentioning

confidence: 99%

Mesoscale Simulations of Structure Formation in Polyacrylonitrile Nascent Fibers Induced by Binary Solvent Mixture

Комаров

Malyshev

Baburkin

et al. 2023

IJMS

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Polyacrylonitrile (PAN) is widely used as a raw material for the production of high-modulus carbon fibers, the internal structure of which is directly affected by the spinning of the precursor. Although PAN fibers have been studied for a long time, the formation of their internal structure has not been sufficiently investigated theoretically. This is due to the large number of stages in the process and the parameters controlling them. In this study, we present a mesoscale model describing the evolution of nascent PAN fibers during the coagulation. It is constructed within the framework of a mesoscale dynamic density functional theory. We use the model to study the influence of a combined solvent of dimethyl sulfoxide (DMSO, a good solvent) and water (a non-solvent) on the microstructure of the fibers. A porous structure of PAN is formed as a result of the microphase separation of the polymer and the residual combined solvent at a high water content in the system. The model shows that one of the possible ways to obtain the homogeneous fiber structure is to slow down the coagulation by increasing the amount of good solvent in the system. This result is in agreement with the existing experimental data and confirms the efficiency of the presented model.

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Mathematical simulation of wet spinning coagulation process: Dynamic modeling and numerical results

Cited by 10 publications

References 13 publications

Template-Free and Stretchable Conductive Fiber with a Built-In Helical Structure for Strain-Insensitive Signal Transmission

Template-Free and Stretchable Conductive Fiber with a Built-In Helical Structure for Strain-Insensitive Signal Transmission

Dynamic Multi-objective Optimization for Coagulating Process of Carbon Fiber Precursor Based on Lifelong Learning

Mesoscale Simulations of Structure Formation in Polyacrylonitrile Nascent Fibers Induced by Binary Solvent Mixture

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