基于模糊多准则的涤纶低弹丝生产工艺参数优化

为解决涤纶低弹丝生产工艺参数间存在强耦合的问题,首先分析了涤纶低弹丝生产过程中的碳排放信息,对工艺参数之间的强耦合关系进行解析,设计了基于信噪比的工艺参数关系正交试验方案。然后在数据预处理的基础上,构建基于模糊多准则的工艺参数优化方法,并对工艺参数组合权重、利益比率进行试验验证。结果表明:当工艺参数优化组合为:油轮转速0.7 r/min,加工速度600 m/min,牵伸比1.55,油尺高度180 mm,第一热箱温度195 ℃,第二热箱温度150 ℃时,涤纶低弹丝的平均断裂强度提高15.84%,平均断裂伸长率提高4.04%,碳排放量降低4.58%,说明基于模糊多准则的工艺参数优化方法有利于解决工艺参数强耦合的问题。

Parameters optimization on polyester drawn textured yarn based on fuzzy multi-criteria

The research reported in this paper aims to solve the problem of strong coupling among parameters in production of polyester drawn textured yarns.In parallel to the analysis of carbon emission in the production process of polyester drawn textured yarns,the strong coupling relationship among the process parameters was analyzed,leading to the selection of orthogonal test scheme based on the signal-to-noise ratio principle.On the basis of data preprocessing,the optimization method of process parameters based on fuzzy multi-criteria was constructed,and the combination weight and benefit ratio of process parameters were determined.The experimental results show that when the speed of oil tanker is 0.7 r/min,the processing speed is 600 m/min,the draft ratio is 1.55,the oil dipstick height is 180 mm,the temperature of the first hot box is 195℃and the temperature of the second hot box is 150℃,the average breaking strength of polyester drawn textured yarn is increased by 15.84%,the average elongation at break is increased by 4.04%,and the carbon emission is reduced by 4.58%,which fully show that the process parameter optimization method based on fuzzy multi-criteria workson the problem of strong coupling of process parameters.