TY - JOUR ID - 17147 TI - Pull-in Phenomenon in the Electrostatically Micro-switch ‎Suspended between Two Conductive Plates using the Artificial ‎Neural Network JO - Journal of Applied and Computational Mechanics JA - JACM LA - en SN - AU - Aliasghary, Mortaza AU - Mobki, Hamed AU - OUAKAD, Hassen M. AD - Electrical Engineering Department, Faculty of Industrial Technologies, Urmia University of Technology (UUT), Urmia, Postal Code: 57166-17165 Iran AD - Department of Engineering, German University of Technology in Oman, Athaibah, Muscat, Postal Code: 1816, Oman‎ AD - Mechanical and Industrial Engineering Department, Sultan Qaboos University, Al Khoudh, Muscat, Postal Code:123, Oman Y1 - 2022 PY - 2022 VL - 8 IS - 4 SP - 1222 EP - 1235 KW - MEMS KW - Pull-in instability KW - Electrostatic KW - Artificial Neural Network‎ DO - 10.22055/jacm.2021.38569.3248 N2 - Artificial Neural Networks (ANN) are designed to evaluate the pull-in voltage of MEMS switches. The mathematical model of a micro-switch subjected to electrostatic force is preliminarily illustrated to get the relevant equations providing static deflection and pull-in voltage. Adopting the Step-by-Step Linearization Method together with a Galerkin-based reduced order model, numerical results in terms of pull-in voltage are obtained to be employed in the training process of ANN. Then, feed forward back propagation ANNs are designed and a learning process based on the Levenberg-Marquardt method is performed. The ability of designed neural networks to determine pull-in voltage have been compared with previous results presented in experimental and theoretical studies and it has been shown that the presented method has a good ability to approximate the threshold voltage of micro switch. Furthermore, the geometric and physical effect of the micro-switch on the pull-in voltage was also examined using these designed networks and relevant findings were provided. UR - https://jacm.scu.ac.ir/article_17147.html L1 - https://jacm.scu.ac.ir/article_17147_603948c0cda9ed57b31a8ef32d66f192.pdf ER -