使用软件计算技术对喷气几何学对通风效率的影响的分析调查
Diksha Puri1, Raj Kumar2, Parveen Sihag3
1School of Environmental Science, Shoolini University, Solan, Himachal Pradesh 173229, India.
ACS omega
|September 11, 2023
概括
这项研究评估了软计算模型,用于预测废水处理中的喷气通风效率. 人工神经网络 (ANN) 的表现最好,方形喷射比圆形喷射更有效.
科学领域:
- 环境工程 环境工程
- 水处理技术水处理技术
- 计算流体动力学的流体动力学.
背景情况:
- 喷气通风对于废水处理中的氧气传输至关重要.
- 优化通风效率 (E20) 是有效处理的关键.
- 了解喷气体几何学对通风的影响至关重要.
研究的目的:
- 为了比较各种软计算模型对喷气式通风效率的预测性能.
- 为了确定最准确的模型来预测E20在开放通道流量.
- 分析运行参数和喷气形状对通风的影响.
主要方法:
- 开发和验证随机森林,减少错误修剪树,人工神经网络 (ANN),高斯过程和支持向量机模型.
- 利用126个实验数据点进行模型训练和测试.
- 使用相关系数 (CC),根平均平方误差 (RMSE) 和平均绝对误差 (MAE) 的性能评估.
主要成果:
- 所有模型都表现出具有CC> 0.8.8的预测能力.
- 该ANN模型获得了最高的准确性,CC=0.9748,MAE=0.0164,RMSE=0.0211.1,其中AC=0.9748,MAE=0.0164和RMSE=0.0211.
- 喷气机倾斜角度是最有影响力的因素;方形喷气机的性能优于圆形喷气机.
结论:
- ANN是预测喷气式通风效率的一个非常有效的工具.
- 喷气式机的配置显著影响了通风性能.
- 优化的喷气式设计和操作参数可以提高废水处理.
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