University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Analytical solution for the dynamic model of tumbling mills

Yu, P, Xie, W, Liu, Lian and Powell, MS (2017) Analytical solution for the dynamic model of tumbling mills Powder Technology.

[img] Text
Analytical solution -final - everything combined.docx
Restricted to Repository staff only until 27 April 2018.

Download (1MB)

Abstract

Optimisation of grinding circuits is invariably dependent on sound process models together with process simulators that can solve the process models accurately. Most of the process models are solved numerically because analytical solutions are not available, which can lead to errors in the results due to the numerical approximation of mathematical equations. Whiten [1], and Valery Jnr & Morrell [2, 3] have developed a dynamic model with numerical simulation for autogenous and semi-autogenous mills, and validated the model with dynamic response of mills in terms of power draw, grinding charge level, slurry level and product size distribution to changes in feed rate, feed size, feed hardness and water addition [2, 3]. In this work, an analytical solution for their dynamic model of tumbling mills has been developed based on the knowledge of solutions to the first-order nonhomogeneous linear differential equations. Two algorithms, Direct Single Time method (DST) and Direct Multiple Time method (DMT), were applied to obtain the analytical solutions respectively. It was found that analytical solutions are more accurate than the traditional finite difference numerical methods. However, the DST analytical method has a drawback of numerical instability due to the accumulation of round-off errors which are amplified by exponential functions, whilst the DMT method can provide stable solutions. To test the DMT analytical method, two cases of SAG mill dynamic operation were studied with both the traditional numerical method and the newly developed analytical method, further proving the robustness and feasibility of the analytical solutions.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
NameEmailORCID
Yu, PUNSPECIFIEDUNSPECIFIED
Xie, WUNSPECIFIEDUNSPECIFIED
Liu, Lianl.x.liu@surrey.ac.ukUNSPECIFIED
Powell, MSUNSPECIFIEDUNSPECIFIED
Date : 27 April 2017
Identification Number : 10.1016/j.powtec.2017.04.035
Copyright Disclaimer : © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords : : dynamic model, tumbling mills, SAG mill, analytical solution, Direct Single Time method (DST), Direct Multiple Time method (DMT)
Depositing User : Melanie Hughes
Date Deposited : 20 Jun 2017 14:22
Last Modified : 20 Jun 2017 14:22
URI: http://epubs.surrey.ac.uk/id/eprint/841442

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800