纺织学报 ›› 2018, Vol. 39 ›› Issue (01): 164-168.doi: 10.13475/j.fzxb.20170203105

• 管理与信息化 • 上一篇    下一篇

涤纶织物热定型降耗优化算法

  

  • 收稿日期:2017-02-22 修回日期:2017-10-30 出版日期:2018-01-15 发布日期:2018-01-16

Optimization algorithm for energy saving in heat setting of polyester fabric

  • Received:2017-02-22 Revised:2017-10-30 Online:2018-01-15 Published:2018-01-16

摘要:

为有效降低热定型过程的能量消耗,针对热定型过程缺乏有效的理论模型、定型机烘房温度设置不合理等问题,提出一种热定型过程参数优化的方法。利用Fluent软件模拟了烘房的温度、空气压力的分布情况,验证了织物加工位置温度、压力的均匀性。分析了织物加工过程的热力学特性,采用机制建模的方法建立了织物的实时温度估算模型框架,利用实验数据辨识了关键参数,在此模型的基础上以能量最小为优化目标,运用粒子群算法对烘房温度的设定值进行寻优。涤纶织物的热定型实验结果表明,所提出的实时温度估算模型可较好地匹配织物的实时温度数据,且在满足工艺约束的条件下,优化后的温度设定值可有效地降低能耗。

关键词: 热定型, 织物温度估算模型, 烘房温度, 能量消耗, 定型机

Abstract:

Aiming at no theoretic model to guide the temperature setting of chamber and no reasonable temperature setting of the drying chamber of a setter energy loss of the stenter, in order to reduce energy consumption of fabric heat setting, an optimized method was proposed. The distribution of air temperature and pressure in chamber was simulated, and the uniformity of them in the fabric heating position were verified by the Fluent. By the analysis of the fabric thermodynamic characteristics, an estimation model is constructed to express the fabric temperature in time in the process of fabric heat setting, and key parameters are identified by experiments. With the target of minimum energy consumption, the particle swarm optimization was used to obtain the optimized temperature value of chamber. Heat setting experiments of the polyester fabric were carried out, with the results showing that this estimation model can match the fabric practical temperature in the heat setting period, and the optimized temperature value is effective for guiding the temperature setting of the drying chamber to save energy for the stenter.

Key words: heat setting, estimation model of fabric temperature, chamber temperature, energy consumption, stenter

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