数学模型用于预测子密度,用于在子滚动过程中使用大型钢滚筒型圆形子机
Junyue Wang1, Xuying Li2, Wei Huang2
1College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; Hohhot Branch of Chinese Academy of Agricultural Mechanization Science Co., Ltd., Hohhot 010010, China.
Bioresource technology
|February 12, 2024
概括
这项研究开发了一种实时测量大型圆形包装机的包装密度的方法. 经过验证的数学模型实现了93-97%的准确性,提高了草生产效率.
科学领域:
- 农业工程 农业工程
- 机械工程 机械工程
- 材料科学 材料科学 材料科学
背景情况:
- 草的智能生产和经济可行性需要实时密度测量.
- 大型钢制滚筒型圆形包装机在运行过程中需要精确监控包装密度.
研究的目的:
- 开发一种动态的方法来实时测量一个圆形包装机内的草密度.
- 构建和验证一个数学模型来预测成型的草捆的密度.
主要方法:
- 在合过程中对钢和钢包施加力的分析.
- 开发一个用于预测贝尔密度的数学模型.
- 实验验证使用太阳花在带有数据采集系统的测试台上进行实验验证.
主要成果:
- 拟议的方法允许动态测量子密度.
- 数学模型显示出良好的预测准确性.
- 数据采集系统实现了93%至97%的测量贝尔密度准确度.
结论:
- 这项研究提供了一种有效的策略,用于实时测量圆形包装机中的包装密度.
- 经过验证的数学模型提高了草密度预测的精度.
- 这项研究有助于智能设计和经济改进草生产.
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