Semnan University Press Journal of Modeling in Engineering 2008-4854 11 34 2013 09 23 FRICTIONAL MODELING AND OPTIMIZATION FOR A VIBRATION MODAL ANALYSIS SIMULATOR DEVICE USING GENETIC ALGORITHM FRICTIONAL MODELING AND OPTIMIZATION FOR A VIBRATION MODAL ANALYSIS SIMULATOR DEVICE USING GENETIC ALGORITHM 87 93 1653 10.22075/jme.2017.1653 FA M Elhami mm S Razavian mm H. Teimuri kk Journal Article 2017 01 28 The aim of this study is friction modeling and optimization of a “vibration modal analysis simulator”. This device has been used for observation and measurement of natural frequencies and mode shapes ofvibrating components and parts under the free or forced vibration conditions. In this paper to obtain linear vibrating motion with less measurement errors and optimum friction factor, the new prototype has been designed using the genetic algorithm. Mass linear motion is modeled by viscous friction agent so that optimized friction factor C with six sub-designation factors is calculated. Obtained results with respect to precursor’s availability, fabrication ability and from the economical point of view are more amenable and applicable than the preliminary devices and show a 70% reduction in friction factor. The aim of this study is friction modeling and optimization of a “vibration modal analysis simulator”. This device has been used for observation and measurement of natural frequencies and mode shapes ofvibrating components and parts under the free or forced vibration conditions. In this paper to obtain linear vibrating motion with less measurement errors and optimum friction factor, the new prototype has been designed using the genetic algorithm. Mass linear motion is modeled by viscous friction agent so that optimized friction factor C with six sub-designation factors is calculated. Obtained results with respect to precursor’s availability, fabrication ability and from the economical point of view are more amenable and applicable than the preliminary devices and show a 70% reduction in friction factor. https://modelling.semnan.ac.ir/article_1653_b290ee973fbd23fca52bd407eee65d50.pdf