| 摘要: |
| 目的 在不改变螺杆转速和外径的前提下，对已有包装机的计量螺杆结构参数进行优化设计，提高计量螺杆的输送效率。方法 构建螺杆的输送能力模型，并分析颗粒在计量螺杆内部的运动速度。通过电镜显微镜观测典型物料颗粒微观形貌，在离散元仿真环境中构建颗粒形貌，并模拟粉状物料的计量输送过程。通过比对不同结构参数的计量螺杆输送能力，得到初选结构参数，基于粒子群优化算法得到螺杆最佳结构参数，通过仿真模拟方法对优化后的计量螺杆输送能力进行比对验证。结果 优化后的计量螺杆对粉状物料输送速度为358.79 mm/s，输送效率提高了7.44%。结论 通过优化结构参数和仿真模拟结合的方法，提高了粉状物料计量螺杆的输送效率，为工业企业计量螺杆的设计和加工提供基础数据参考。 |
| 关键词: 螺杆优化 仿真模拟 算法优化 设计 |
| DOI：10.19554/j.cnki.1001-3563.2023.05.023 |
| 分类号:TB482.2;TH122 |
| 基金项目:开封市新型农机装备研发创新型科技团队横向项目;河南省科技发展计划项目(202102110272);黑龙江省自然科学基金(LH2020E027) |
|
| Optimal Design of Structural Parameters of Metering Screw in Powder Packaging Machine |
|
LIN Ji-jing1, CHEN Xiao1, TIAN Ye2
|
|
(1. Kaifeng University, Henan Kaifeng 475004, China;2. Harbin University of Commerce, Harbin 150028, China)
|
| Abstract: |
| The work aims to optimize the design of structural parameters of metering screw in packaging machine and improve the conveying efficiency of metering screw without changing its speed and outer diameter. The conveying capacity model of the screw was established and the movement velocity of particles in the metering screw was analyzed. The typical particle morphology was observed by electron microscope. Then, the particle morphology was constructed in discrete element simulation environment, and the measurement and conveying process of powdery materials was simulated. The primary structural parameters were obtained by comparing the conveying capacity of metering screw with different structural parameters. The optimal structural parameters of screw were obtained based on particle swarm optimization algorithm, and the conveying capacity of optimized metering screw was compared and verified by simulation method. The conveying speed of optimized metering screw for powdery materials was 358.79 mm/s, and the conveying efficiency increased by 7.44%. The conveying efficiency of metering screw for powdery materials is improved by optimizing structural parameters and combining simulation, which provides basic data reference for design and processing of metering screw in industrial enterprises. |
| Key words: screw optimization simulation optimization by algorithm design |
