Minimum spouting velocity of fine particles in fountain confined conical spouted beds using machine learning and least square fitting approaches

IF 1.6 4区 工程技术 Q3 ENGINEERING, CHEMICAL
Mohammad Amin Moradkhani, Ali Reza Miroliaei, Nasim Ghasemi, Seyyed Hossein Hosseini, Mikel Tellabide, Martin Olazar
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Abstract

The present study concerns the development of new models to estimate the minimum spouting velocity (Ums) in various configurations of fountain-confined conical spouted beds (FC-CSBs) with fine particles. Existing literature correlations were found to be inaccurate for FC-CSBs. Therefore, smart modelling techniques were employed to design more accurate predictive tools. The radial basis function (RBF) approach provided the best predictions for systems without draft tubes as well as those with open-sided draft tubes. Additionally, the Gaussian process regression (GPR) approach yielded the best predictions for systems with nonporous draft tubes. The mean absolute percentage error (MAPE) values for the testing phase were 5.80%, 5.67%, and 5.59%, respectively. These models consider how bed shape and particle properties affect Ums. The sensitivity analysis was conducted to determine the factors with more importance in controlling Ums. Finally, simpler correlations were derived for Ums prediction in different FC-CSB configurations, with accuracy around 12% error.

Abstract Image

利用机器学习和最小二乘法拟合喷泉密闭锥形喷床中细颗粒的最小喷出速度
本研究涉及开发新模型,以估算细颗粒喷泉封闭锥形喷流床(FC-CSBs)各种配置中的最小喷流速度(Ums)。现有文献中的相关数据对于 FC-CSB 并不准确。因此,采用了智能建模技术来设计更精确的预测工具。径向基函数 (RBF) 方法为无牵伸管和有开口牵伸管的系统提供了最佳预测。此外,高斯过程回归(GPR)方法也为无孔牵伸管系统提供了最佳预测。测试阶段的平均绝对百分比误差 (MAPE) 值分别为 5.80%、5.67% 和 5.59%。这些模型考虑了床层形状和颗粒特性对 Ums 的影响。进行了敏感性分析,以确定在控制 Ums 方面更重要的因素。最后,得出了在不同 FC-CSB 配置下预测 Ums 的更简单的相关性,准确度约为 12%。
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来源期刊
Canadian Journal of Chemical Engineering
Canadian Journal of Chemical Engineering 工程技术-工程:化工
CiteScore
3.60
自引率
14.30%
发文量
448
审稿时长
3.2 months
期刊介绍: The Canadian Journal of Chemical Engineering (CJChE) publishes original research articles, new theoretical interpretation or experimental findings and critical reviews in the science or industrial practice of chemical and biochemical processes. Preference is given to papers having a clearly indicated scope and applicability in any of the following areas: Fluid mechanics, heat and mass transfer, multiphase flows, separations processes, thermodynamics, process systems engineering, reactors and reaction kinetics, catalysis, interfacial phenomena, electrochemical phenomena, bioengineering, minerals processing and natural products and environmental and energy engineering. Papers that merely describe or present a conventional or routine analysis of existing processes will not be considered.
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