颗粒包装秤定量速度最大化试验与分析

目的使颗粒包装秤定量速度最大化。方法从减小定量周期的角度分析影响定量速度的主要因素,利用DB8320型立式颗粒包装秤设置不同给料速度和粗、精给料切换方式进行多组实验。根据实验结果用Matlab软件曲线拟合出各变量之间的非线性回归方程,并由已知参数和定量周期公式计算出粗、精给料量和给料速度,设置包装秤为该最佳给料方式再次称量,并与不同方式下的测量数据进行对比分析。结果实验结果表明采用上述给料方式后称量10 kg丝苗米平均定量周期为5.48 s、精度为0.29%。结论优化的给料方式能在保证精度要求的同时明显提高了定量速度。

Test and Analysis of Granule Packing Scale Quantitative Speed Maximization

The work aims to maximize the quantitative speed of particle packing scale. The main factors affecting the quantitative speed were analyzed from the perspective of reducing the quantitative period. Different feeding speed and the coarse and fine feed switching modes were set for numerous experiments by using DB8320 type granule packing machine. According to the test results, Matlab software was used to fit the nonlinear regression equation between the variables. The coarse and fine feeding amount and the feeding speed were calculated with the known parameters and the quantitative period formula. The best feeding mode was set and weighing was made again. Then measured data of other different modes were compared and analyzed. The results showed that quantitative average period was 5.48 s and the precision was 0.29% while weighing 10 kg rice with the above best methods. In conclusion, the quantitative speed was significantly improved under the premise of ensuring accuracy through experiments and optimum feeding mode by mathematical optimization.