Metallurgical machinery vibration based on computational modelling analysis
by Zhigang Wang; Lei He; Changming Liu; Han Xiao; Chao Xu
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 17, No. 2, 2019

Abstract: Much equipment in metallurgical industry involves mechanical vibration. The subject of mechanical vibration covers a wide range of fields. Mathematical theory and related formulas are abstract and complex. Therefore, as a mechanical student, it is difficult to learn and feel bored. In view of the above problems, this paper introduces computational modelling into the teaching of mechanical vibration course, and reforms the teaching mode of this course. It uses the Matlab software to model the fuzzy and abstract theories and mathematical formulas in an intuitive graphical way, which can reduce the difficulty of learning and improve the interest of learning. The problems existing in the teaching of mechanical vibration course are analysed, and two examples are modelled by using the theory of mechanical vibration. Finally, the software of Matlab is used for analysis. Based on the relevant theories, this paper starts from improving students' comprehensive professional quality, and then discusses how to make students master mechanical vibration and how to use it in practice. Through the teaching reform, the students have solved the vibration problem of metallurgical machinery better, improved their ability, and made great progress in all aspects.

Online publication date: Wed, 07-Aug-2019

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