摘要
为了提高异性纤维清理效率、减少棉纤维损伤,该文以MQZY-10型异性纤维清理机为研究对象,设计了四因素二次正交旋转试验,研究了喂花量、籽棉回潮率、缠绕辊转速和风速对异性纤维清理效率和纤维长度损伤的影响,建立了异性纤维清理机多目标自适应控制模型。试验结果表明各因素对线状异性纤维清理效率影响的大小顺序为:缠绕辊转速>风速>回潮率>喂花量,4个因素均为影响显著因素;对片状异性纤维清理效率影响的大小顺序为:风速>缠绕辊转速>回潮率>喂花量,4个因素均为影响显著因素:对纤维长度损伤影响的大小顺序为:缠绕辊转速>回潮率>风速>喂花量,其中影响显著的因素为缠绕辊转速、回潮率和风速。该模型己应用于异性纤维清理机的多目标自适应控制,在实际生产中用户可以依据棉花品级需求对异形纤维清理机进行适用性调节。本试验条件下,相对于经验固定值控制,线状异性纤维清理效率平均提高了约9.4百分点,片状异性纤维清理效率平均提高了约2-3百分点,棉纤维长度损伤平均减少了约0.051百分点,取得了满意的清理效果。
Foreign fiber cleaner was widely used in the field of cotton processing industry for its good cleaning efficiency. However, with the improvement of cotton processing level, how to improve the foreign fiber＇s cleaning efficiency and reduce the fiber＇s damage had become a growing concern, which was taken as the research object in the paper. This paper designed four-factor quadratic orthogonal rotation test. The four factors were the capacity of foreign fiber cleaner, the regain of seed cotton, the winding roller speed and the wind speed. The cleaning efficiency of foreign fiber and the damage of fiber length were objective functions. For the multi-factor test, orthogonal test design was an effective method of scientific experiments where part of the ones can reflect the comprehensive experiments. Through these factors quadratic orthogonal rotation test, the multi-objective optimal control model of foreign fiber cleaner was established. The results revealed that the remarkable factors which influenced the cleaning efficiency of linear foreign fiber were the winding roller speed, the regain of seed cotton and the wind speed, while the capacity of foreign fiber cleaner was not remarkable. The regain of seed cotton and winding roller speed had significantly interactive effect for the cleaning efficiency of linear foreign fiber. Higher winding roller speed, wind speed and lower regain of seed cotton would improve the cleaning efficiency. The effects on the cleaning efficiency of linear foreign fiber were in order of winding roller speed 〉 wind speed 〉 regain of seed cotton 〉 capacity of foreign fiber cleaner. The effects on the cleaning efficiency of flake foreign fiber were in order of wind speed 〉 winding roller speed 〉 regain of seed cotton 〉 capacity of foreign fiber cleaner. All of the factors were the remarkable factors. The effects on the damage of fiber length were in order of winding roller speed 〉 regain of seed cotton 〉 wind speed 〉 capacity of foreign fiber cleaner. The remarkable factors which influenced the damage of fiber length were the winding roller speed, the regain of seed cotton and the wind speed. The model in this paper has been applied in the multi-objective optimization control of foreign fiber cleaner. Users could adjust the parameters of foreign fiber cleaning machine according to their demand in the actual production. In the conditions of this study, Compared with a fixed value control method, the cleaning efficiency of linear foreign fiber by using multi-objective adaptive control method was increased on average by about 9.4%, the cleaning efficiency of flake foreign fiber was increased on average by about 3.3%, and the damage of fiber length was reduced on average by about 0.051%. Cleaning effect was satisfactory.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2015年第7期39-46,共8页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金资助项目(51405194)
新疆建设兵团高新技术产业创新专项资助项目(2012AC001)
济南"泉城学者"建设工程资助项目(201109)
关键词
控制
自动化
棉花纤维
多目标自适应控制
异性纤维清理机
清理效率
纤维损伤
control
automation
cotton fibers
multi-objective adaptive control
foreign fibers cleaner
cleaning efficiency
damage of fibers
