Experimental and Numerical Investigation of the Arms Displacement in a New Electrothermal MEMS Actuator

Microgrippers can be effectively applied for handling, positioning and assembling of the micro components. In the present study, a new design of a U-shape electrothermal microgripper was fabricated and developed with the voltages correspond between 1 to 10 volts. The microgripper was made of silicon...

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Main Authors: M. Kolahdoozan, A. Rouhani Esfahani, M. Hassani
Format: Article
Language:English
Published: Islamic Azad University-Isfahan (Khorasgan) Branch 2017-08-01
Series:International Journal of Advanced Design and Manufacturing Technology
Subjects:
Online Access:https://admt.isfahan.iau.ir/article_535015_a67c07763584f48ee300ae1e35f4a9e7.pdf
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author M. Kolahdoozan
A. Rouhani Esfahani
M. Hassani
author_facet M. Kolahdoozan
A. Rouhani Esfahani
M. Hassani
author_sort M. Kolahdoozan
collection DOAJ
description Microgrippers can be effectively applied for handling, positioning and assembling of the micro components. In the present study, a new design of a U-shape electrothermal microgripper was fabricated and developed with the voltages correspond between 1 to 10 volts. The microgripper was made of silicone with thickness of 25 microns, and pieces between 460 to 480 microns. The proposed microgripper has a simpler design and more facile fabrication comparing to most reported electrothermal microgripper. The behavior of the microgripper was simulated in COMSOL software to measure the displacement of the arms which hold and heat generations during the voltage changes. The present microgripper has more thermal and voltage tolerance comparing to other electrothermal microgripper. Furthermore, the obtained amount of tip displacement for voltage changes is acceptable. Another simulation method based on a three layer artificial neural network model (ANN) was carried out. Feed forward back propagation algorithm was employed as training algorithm to predict the displacement. The obtained results from both models proved that ANN model had better estimation due to the mean absolute percentage error of 1.024% and determination coefficient of 0.9995. Moreover, they confirm higher capability and accuracy of ANN in prediction of arms displacement compared to FEM.
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spelling doaj.art-29b5cd209f5743d4a86e950b7314594d2023-10-18T09:17:41ZengIslamic Azad University-Isfahan (Khorasgan) BranchInternational Journal of Advanced Design and Manufacturing Technology2252-04062383-44472017-08-011027181535015Experimental and Numerical Investigation of the Arms Displacement in a New Electrothermal MEMS ActuatorM. Kolahdoozan0A. Rouhani Esfahani1M. Hassani2Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, IranDepartment of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, IranDepartment of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, IranMicrogrippers can be effectively applied for handling, positioning and assembling of the micro components. In the present study, a new design of a U-shape electrothermal microgripper was fabricated and developed with the voltages correspond between 1 to 10 volts. The microgripper was made of silicone with thickness of 25 microns, and pieces between 460 to 480 microns. The proposed microgripper has a simpler design and more facile fabrication comparing to most reported electrothermal microgripper. The behavior of the microgripper was simulated in COMSOL software to measure the displacement of the arms which hold and heat generations during the voltage changes. The present microgripper has more thermal and voltage tolerance comparing to other electrothermal microgripper. Furthermore, the obtained amount of tip displacement for voltage changes is acceptable. Another simulation method based on a three layer artificial neural network model (ANN) was carried out. Feed forward back propagation algorithm was employed as training algorithm to predict the displacement. The obtained results from both models proved that ANN model had better estimation due to the mean absolute percentage error of 1.024% and determination coefficient of 0.9995. Moreover, they confirm higher capability and accuracy of ANN in prediction of arms displacement compared to FEM.https://admt.isfahan.iau.ir/article_535015_a67c07763584f48ee300ae1e35f4a9e7.pdfartificial neural networkelectrothermal actuatorfinite element methodmicro electro mechanical system
spellingShingle M. Kolahdoozan
A. Rouhani Esfahani
M. Hassani
Experimental and Numerical Investigation of the Arms Displacement in a New Electrothermal MEMS Actuator
International Journal of Advanced Design and Manufacturing Technology
artificial neural network
electrothermal actuator
finite element method
micro electro mechanical system
title Experimental and Numerical Investigation of the Arms Displacement in a New Electrothermal MEMS Actuator
title_full Experimental and Numerical Investigation of the Arms Displacement in a New Electrothermal MEMS Actuator
title_fullStr Experimental and Numerical Investigation of the Arms Displacement in a New Electrothermal MEMS Actuator
title_full_unstemmed Experimental and Numerical Investigation of the Arms Displacement in a New Electrothermal MEMS Actuator
title_short Experimental and Numerical Investigation of the Arms Displacement in a New Electrothermal MEMS Actuator
title_sort experimental and numerical investigation of the arms displacement in a new electrothermal mems actuator
topic artificial neural network
electrothermal actuator
finite element method
micro electro mechanical system
url https://admt.isfahan.iau.ir/article_535015_a67c07763584f48ee300ae1e35f4a9e7.pdf
work_keys_str_mv AT mkolahdoozan experimentalandnumericalinvestigationofthearmsdisplacementinanewelectrothermalmemsactuator
AT arouhaniesfahani experimentalandnumericalinvestigationofthearmsdisplacementinanewelectrothermalmemsactuator
AT mhassani experimentalandnumericalinvestigationofthearmsdisplacementinanewelectrothermalmemsactuator