Abstract
Conventionally, the process parameter determinations in producing rayon fiber are acquired through the trial-and-error method during the chemical reaction. However, the found parameter levels lack optimization. This study combined statistical method and mathematical programming to obtain the optimized production parameters for the filtrating process in the production of rayon fiber.
Highlights
The chemical process is the production process of converting or separating raw materials into useful products
Chemical process improvement relies on the scientific principles of chemical reaction, the understanding of the unit operations of chemical engineering technology, and the accumulation of experience to obtain the optimization of individual process production parameters through the trial and error method
Rayon fiber production process improvement has been based on optimizing the production parameters using the trial and error method, and it could not achieve the optimization of the process production parameters
Summary
The chemical process is the production process of converting or separating raw materials into useful products They can be decomposed into a combination of many unit operations, including solid and liquid conveyance, heat transfer, evaporation, crystallization, and drying. The coagulating bath recycle system mainly consists of filtration, evaporation, and crystallization processes. The coagulating bath flowing back from the spinning machine can produce sulfur, in addition to ZnS, viscose block, waste fiber, mechanic impurities and other impurities. Some of these impurities are dispersed in the coagulating batch as very fine particles, and others are combined into a gel that floats on the coagulating bath liquid surface. To keep the composition balance of the coagulating bath in the cycle, the additional Na2SO4 should be separated by the vacuum crystallization system
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Industrial and Operations Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.