Mixing Power Requirement Determination in Agitated Drum Using Dimensional Analysis

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-06-30 DOI:10.21791/ijems.2023.2.9.

D. Horváth, T. Poós

引用次数: 0

Abstract

The mixing of granular materials in an agitated drum can be characterized by the dimensionless power equation. The equation was created by dimensional analysis, for which the parameters affecting the mixing power requirement were collected based on the literature. The most important of these are the rotational speed, the drum loading factor, the geometric and physical properties of the mixing drum and the granular materials. The dimensionless power equation is used to estimate with reasonable accuracy the Power number within the given range of applicability , which has been validated by measurements. From the Power number, the mixing power requirement of the mixed granular material can be calculated, which can be used as operational data for selecting the mixing motor.

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用量纲分析确定搅拌鼓的搅拌功率要求

颗粒物料在搅拌滚筒中的混合可以用无量纲功率方程来表征。通过量纲分析建立了方程，并在文献基础上收集了影响搅拌功率要求的参数。其中最重要的是转速、转鼓载荷系数、混合转鼓和颗粒物料的几何和物理性质。利用无量纲功率方程，在给定的适用范围内以合理的精度估计出功率数，并通过实测验证了该方法的正确性。由功率数可以计算出混合颗粒物料所需的搅拌功率，作为选择搅拌电机的操作数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Mathematical Engineering and Management Sciences Multiple-

CiteScore

3.80

自引率

6.20%

发文量

审稿时长

20 weeks

期刊介绍： IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.