双光路红外分选机结构对废旧塑料瓶剔除率的影响
Influence of Structure of Dual-Optical Infrared Sorter on Removal Rate of Waste Plastic Bottles
刘宝莹 1杨晨光 2李清政 1李龙 1王磊 1翟华2
作者信息
- 1. 安徽省多光谱分选技术与智能装备工程研究中心,安徽 合肥 231299;安徽中科光电色选机械有限公司,安徽 合肥 231299
- 2. 安徽省多光谱分选技术与智能装备工程研究中心,安徽 合肥 231299;合肥工业大学 航空结构件成形制造与装备安徽省重点实验室,安徽 合肥 230009
- 折叠
摘要
因废旧塑料瓶材质和颜色众多,分选过程十分复杂.文章为提升GLP4型塑料红外分选机的剔除率,在可见光+红外光双光路激发环境下,选择材质为PET的蓝色和白色瓶,材质为PET的绿瓶以及其他材质瓶(PC、PE、PP)三种塑料瓶作为识别目标.将混合用料的比例控制为80%常规蓝白绿(脱标+未脱标),10%扭曲蓝白绿瓶,10%1.2～1.5 L瓶体,在可见光和红外光下进行分选测试.先利用fluent模拟不同喷嘴直径下的空气射流情况,确定合适喷嘴,再研究了不同工作条件下样品剔除率.结果表明:喷嘴直径为4.0 mm时,高压气体能够作用在100 mm处的物料位置,同时未完全消耗喷嘴内压.使用新分隔板距离72 mm时,样品剔除率在99.36%,角度在0°即水平位置,剔除率达到99.08%,喷嘴直径在4.0 mm时,剔除率在99.48%,验证模拟结果的准确性.
Abstract
Due to the large number of materials and colors of waste plastic bottles,the sorting process is very complicated.In order to improve the rejection rate of GLP4 plastic infrared sorter,three plastic bottles made of PET were selected as identification targets in the visible light+infrared light dual-optical path excitation environment.The proportion of mixed materials is controlled as 80%conventional blue-white-green(off-label+non-off-label),10%twisted blue-white-green bottles,and 10%1.2～1.5 L bottles,and the sorting test is carried out under visible light and infrared light.Firstly,fluent was used to simulate the air jet conditions under different nozzle diameters to determine the appropriate nozzle,and then the sample rejection rate under different working conditions was studied.The results show that when the nozzle diameter is 4.0 mm,the high-pressure gas can act on the material positioned at 100 mm,and the internal pressure of the nozzle is not completely consumed.The rejection rate of the sample is 99.36%when the new separator distance is 72 mm,the rejection rate is 99.08%at the angle of 0°,and the rejection rate is 99.48%when the nozzle diameter is 4.0 mm,which verifies the accuracy of the simulation results.
关键词
双光路红外分选/废旧塑料瓶/喷嘴模型/Fluent软件/剔除率Key words
Dual-optical path infrared sorting/Waste plastic bottles/Nozzle model/Fluent software/Rejection rate引用本文复制引用
基金项目
安徽省科技重大专项(202103a07020010)
&&(202003c08020020)
出版年
2024
国家科技期刊平台
NSTL
万方数据