Polyester drawn textured yarn process optimization method

Abstract

The invention discloses a polyester drawn textured yarn process optimization method, and relates to the field of polyester drawn textured yarn production process energy conservation, emission reduction and quality control, and the method comprises the steps: building a target carbon footprint accounting function of a production process according to materials, energy consumption and carbon emissionof each production stage in the polyester drawn textured yarn production process; according to the target carbon footprint accounting function, determining key process parameters influencing the carbon footprint and influencing the quality characteristics of the polyester drawn textured yarn finished product; and optimizing the key process parameters based on preset mathematical software, an orthogonal test of a signal-to-noise ratio and a VIKOR method of'entropy + CRITIC 'comprehensive empowerment to obtain a target key process parameter combination. According to the method, the aims of reducing the production energy consumption in a data driving mode, reducing the carbon emission and improving the quality index of the polyester drawn textured yarn product in the production process of the polyester drawn textured yarn are achieved.

Description

technical field [0001] The invention relates to the fields of energy saving, emission reduction and quality control in the production process of polyester low elastic yarn, in particular to a process optimization method for polyester low elastic yarn. Background technique [0002] In recent years, with the improvement of human's demand for material living standards and the substantial advancement of the industrialization process, the increasing demand for energy consumption has gradually caused damage to the environment, which in turn has affected people's daily life. With the continuous heating up of the "green manufacturing" wave, it has aroused widespread attention from all walks of life to reduce energy consumption. Low-carbon action has always been a hot issue. All walks of life at home and abroad have gradually carried out related research on green manufacturing technology. China is a big textile country and occupies an important position in the industry. Therefore, b...

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Problems solved by technology

[0003]Through literature review, it is found that most of the studies on the carbon footprint of polyester low-strength yarn (DTY) production have given the accounting process, and few A specific method to reduce carbon emissions is proposed through data-driven, and there is a nonlinear functional relationship between carbon emissions in the production process of polyester low-stretch yarn, raw material attribute variables, and key process parameters. (such as breaking strength, elongation at break, crimp shrinkage and boiling water shrinkage, etc.) and raw materials and process parameters also have a nonlinear relationship. Optimization modeling to achieve the optimization of key process parameters of the process, but lack of consideration for reducing energy consumption

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