Loading…

Optimization of Q-factor of AFM cantilevers using genetic algorithms

Micro cantilever beams have been intensively used in sensing applications including to scanning profiles and surfaces where there resolution and imaging speed are critical. Force resolution is related to the Q-factor. When the micro-cantilever operates in air with small separation gaps, the Q-factor...

Full description

Saved in:
Bibliographic Details
Published in:Ultramicroscopy 2012-04, Vol.115, p.61-67
Main Authors: Perez-Cruz, Angel, Dominguez-Gonzalez, Aurelio, Stiharu, Ion, Osornio-Rios, Roque A.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c434t-100173ca95e01596fd7ed265a68e3878c7c83f09d8dc662f275599086072972d3
cites cdi_FETCH-LOGICAL-c434t-100173ca95e01596fd7ed265a68e3878c7c83f09d8dc662f275599086072972d3
container_end_page 67
container_issue
container_start_page 61
container_title Ultramicroscopy
container_volume 115
creator Perez-Cruz, Angel
Dominguez-Gonzalez, Aurelio
Stiharu, Ion
Osornio-Rios, Roque A.
description Micro cantilever beams have been intensively used in sensing applications including to scanning profiles and surfaces where there resolution and imaging speed are critical. Force resolution is related to the Q-factor. When the micro-cantilever operates in air with small separation gaps, the Q-factor is even more reduced due to the squeeze-film damping effect. Thus, the optimization of the configuration of an AFM micro-cantilever is presented in this work with the objective of improving its Q-factor. To accomplish this task, we propose the inclusion of holes as breathing chimneys in the initial design to reduce the squeeze-film damping effect. The evaluation of the Q-factor was carried out using finite element model, which is implemented to work together with the squeeze-film damping model. The methodology applied in the optimization process was genetic algorithms, which considers as constraints the maximum allowable stress, fundamental frequency and spring constant with respect to the initial design. The results show that the optimum design, which includes holes with an optimal location, increases the Q-factor almost five times compared to the initial design. ► It was optimized the Q-factor of a cantilever, which operates near to the surface in air. ► It was proposed the inclusion of holes as breathing chimneys in the cantilever's surface. ► Genetic algorithms and finite element analysis were applied to find the optimum configuration for the Q-factor. ► Optimum design keeps first frequency and the spring constant very close to the original and has a better force resolution. ► Final design can be easily manufactured through a mask.
doi_str_mv 10.1016/j.ultramic.2012.01.014
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1009131487</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0304399112000265</els_id><sourcerecordid>1009131487</sourcerecordid><originalsourceid>FETCH-LOGICAL-c434t-100173ca95e01596fd7ed265a68e3878c7c83f09d8dc662f275599086072972d3</originalsourceid><addsrcrecordid>eNqFkEtLAzEUhYMotlb_QpmlmxnzmJkkO4taFSpF0HWImTs1ZR41yRT015vS1q1w4N7Fd-7hHoSmBGcEk_JmnQ1NcLq1JqOY0AyTqPwEjYngMqWcslM0xgznKZOSjNCF92uMMcG5OEcjSvNCEiLH6H65Cba1PzrYvkv6OnlNa21C73b7bP6SGN0F28AWnE8Gb7tVsoIOgjWJbla9s-Gz9ZforNaNh6vDnKD3-cPb3VO6WD4-380WqclZHlIS8zkzWhaASSHLuuJQ0bLQpQAmuDDcCFZjWYnKlCWtKS8KKbEoMaeS04pN0PX-7sb1XwP4oFrrDTSN7qAfvIoBkjCSCx7Rco8a13vvoFYbZ1vtviOkdg2qtTo2qHYNKkyi8micHjKGjxaqP9uxsgjc7gGIn24tOOWNhc5AZR2YoKre_pfxC01fg-w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1009131487</pqid></control><display><type>article</type><title>Optimization of Q-factor of AFM cantilevers using genetic algorithms</title><source>ScienceDirect Journals</source><creator>Perez-Cruz, Angel ; Dominguez-Gonzalez, Aurelio ; Stiharu, Ion ; Osornio-Rios, Roque A.</creator><creatorcontrib>Perez-Cruz, Angel ; Dominguez-Gonzalez, Aurelio ; Stiharu, Ion ; Osornio-Rios, Roque A.</creatorcontrib><description>Micro cantilever beams have been intensively used in sensing applications including to scanning profiles and surfaces where there resolution and imaging speed are critical. Force resolution is related to the Q-factor. When the micro-cantilever operates in air with small separation gaps, the Q-factor is even more reduced due to the squeeze-film damping effect. Thus, the optimization of the configuration of an AFM micro-cantilever is presented in this work with the objective of improving its Q-factor. To accomplish this task, we propose the inclusion of holes as breathing chimneys in the initial design to reduce the squeeze-film damping effect. The evaluation of the Q-factor was carried out using finite element model, which is implemented to work together with the squeeze-film damping model. The methodology applied in the optimization process was genetic algorithms, which considers as constraints the maximum allowable stress, fundamental frequency and spring constant with respect to the initial design. The results show that the optimum design, which includes holes with an optimal location, increases the Q-factor almost five times compared to the initial design. ► It was optimized the Q-factor of a cantilever, which operates near to the surface in air. ► It was proposed the inclusion of holes as breathing chimneys in the cantilever's surface. ► Genetic algorithms and finite element analysis were applied to find the optimum configuration for the Q-factor. ► Optimum design keeps first frequency and the spring constant very close to the original and has a better force resolution. ► Final design can be easily manufactured through a mask.</description><identifier>ISSN: 0304-3991</identifier><identifier>EISSN: 1879-2723</identifier><identifier>DOI: 10.1016/j.ultramic.2012.01.014</identifier><identifier>PMID: 22459119</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>AFM ; Genetic algorithms ; Micro-cantilever ; Optimization ; Q-factor</subject><ispartof>Ultramicroscopy, 2012-04, Vol.115, p.61-67</ispartof><rights>2012 Elsevier B.V.</rights><rights>Copyright © 2012 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-100173ca95e01596fd7ed265a68e3878c7c83f09d8dc662f275599086072972d3</citedby><cites>FETCH-LOGICAL-c434t-100173ca95e01596fd7ed265a68e3878c7c83f09d8dc662f275599086072972d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22459119$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Perez-Cruz, Angel</creatorcontrib><creatorcontrib>Dominguez-Gonzalez, Aurelio</creatorcontrib><creatorcontrib>Stiharu, Ion</creatorcontrib><creatorcontrib>Osornio-Rios, Roque A.</creatorcontrib><title>Optimization of Q-factor of AFM cantilevers using genetic algorithms</title><title>Ultramicroscopy</title><addtitle>Ultramicroscopy</addtitle><description>Micro cantilever beams have been intensively used in sensing applications including to scanning profiles and surfaces where there resolution and imaging speed are critical. Force resolution is related to the Q-factor. When the micro-cantilever operates in air with small separation gaps, the Q-factor is even more reduced due to the squeeze-film damping effect. Thus, the optimization of the configuration of an AFM micro-cantilever is presented in this work with the objective of improving its Q-factor. To accomplish this task, we propose the inclusion of holes as breathing chimneys in the initial design to reduce the squeeze-film damping effect. The evaluation of the Q-factor was carried out using finite element model, which is implemented to work together with the squeeze-film damping model. The methodology applied in the optimization process was genetic algorithms, which considers as constraints the maximum allowable stress, fundamental frequency and spring constant with respect to the initial design. The results show that the optimum design, which includes holes with an optimal location, increases the Q-factor almost five times compared to the initial design. ► It was optimized the Q-factor of a cantilever, which operates near to the surface in air. ► It was proposed the inclusion of holes as breathing chimneys in the cantilever's surface. ► Genetic algorithms and finite element analysis were applied to find the optimum configuration for the Q-factor. ► Optimum design keeps first frequency and the spring constant very close to the original and has a better force resolution. ► Final design can be easily manufactured through a mask.</description><subject>AFM</subject><subject>Genetic algorithms</subject><subject>Micro-cantilever</subject><subject>Optimization</subject><subject>Q-factor</subject><issn>0304-3991</issn><issn>1879-2723</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLAzEUhYMotlb_QpmlmxnzmJkkO4taFSpF0HWImTs1ZR41yRT015vS1q1w4N7Fd-7hHoSmBGcEk_JmnQ1NcLq1JqOY0AyTqPwEjYngMqWcslM0xgznKZOSjNCF92uMMcG5OEcjSvNCEiLH6H65Cba1PzrYvkv6OnlNa21C73b7bP6SGN0F28AWnE8Gb7tVsoIOgjWJbla9s-Gz9ZforNaNh6vDnKD3-cPb3VO6WD4-380WqclZHlIS8zkzWhaASSHLuuJQ0bLQpQAmuDDcCFZjWYnKlCWtKS8KKbEoMaeS04pN0PX-7sb1XwP4oFrrDTSN7qAfvIoBkjCSCx7Rco8a13vvoFYbZ1vtviOkdg2qtTo2qHYNKkyi8micHjKGjxaqP9uxsgjc7gGIn24tOOWNhc5AZR2YoKre_pfxC01fg-w</recordid><startdate>201204</startdate><enddate>201204</enddate><creator>Perez-Cruz, Angel</creator><creator>Dominguez-Gonzalez, Aurelio</creator><creator>Stiharu, Ion</creator><creator>Osornio-Rios, Roque A.</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201204</creationdate><title>Optimization of Q-factor of AFM cantilevers using genetic algorithms</title><author>Perez-Cruz, Angel ; Dominguez-Gonzalez, Aurelio ; Stiharu, Ion ; Osornio-Rios, Roque A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-100173ca95e01596fd7ed265a68e3878c7c83f09d8dc662f275599086072972d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>AFM</topic><topic>Genetic algorithms</topic><topic>Micro-cantilever</topic><topic>Optimization</topic><topic>Q-factor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Perez-Cruz, Angel</creatorcontrib><creatorcontrib>Dominguez-Gonzalez, Aurelio</creatorcontrib><creatorcontrib>Stiharu, Ion</creatorcontrib><creatorcontrib>Osornio-Rios, Roque A.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Ultramicroscopy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Perez-Cruz, Angel</au><au>Dominguez-Gonzalez, Aurelio</au><au>Stiharu, Ion</au><au>Osornio-Rios, Roque A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of Q-factor of AFM cantilevers using genetic algorithms</atitle><jtitle>Ultramicroscopy</jtitle><addtitle>Ultramicroscopy</addtitle><date>2012-04</date><risdate>2012</risdate><volume>115</volume><spage>61</spage><epage>67</epage><pages>61-67</pages><issn>0304-3991</issn><eissn>1879-2723</eissn><abstract>Micro cantilever beams have been intensively used in sensing applications including to scanning profiles and surfaces where there resolution and imaging speed are critical. Force resolution is related to the Q-factor. When the micro-cantilever operates in air with small separation gaps, the Q-factor is even more reduced due to the squeeze-film damping effect. Thus, the optimization of the configuration of an AFM micro-cantilever is presented in this work with the objective of improving its Q-factor. To accomplish this task, we propose the inclusion of holes as breathing chimneys in the initial design to reduce the squeeze-film damping effect. The evaluation of the Q-factor was carried out using finite element model, which is implemented to work together with the squeeze-film damping model. The methodology applied in the optimization process was genetic algorithms, which considers as constraints the maximum allowable stress, fundamental frequency and spring constant with respect to the initial design. The results show that the optimum design, which includes holes with an optimal location, increases the Q-factor almost five times compared to the initial design. ► It was optimized the Q-factor of a cantilever, which operates near to the surface in air. ► It was proposed the inclusion of holes as breathing chimneys in the cantilever's surface. ► Genetic algorithms and finite element analysis were applied to find the optimum configuration for the Q-factor. ► Optimum design keeps first frequency and the spring constant very close to the original and has a better force resolution. ► Final design can be easily manufactured through a mask.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>22459119</pmid><doi>10.1016/j.ultramic.2012.01.014</doi><tpages>7</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0304-3991
ispartof Ultramicroscopy, 2012-04, Vol.115, p.61-67
issn 0304-3991
1879-2723
language eng
recordid cdi_proquest_miscellaneous_1009131487
source ScienceDirect Journals
subjects AFM
Genetic algorithms
Micro-cantilever
Optimization
Q-factor
title Optimization of Q-factor of AFM cantilevers using genetic algorithms
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T03%3A37%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Optimization%20of%20Q-factor%20of%20AFM%20cantilevers%20using%20genetic%20algorithms&rft.jtitle=Ultramicroscopy&rft.au=Perez-Cruz,%20Angel&rft.date=2012-04&rft.volume=115&rft.spage=61&rft.epage=67&rft.pages=61-67&rft.issn=0304-3991&rft.eissn=1879-2723&rft_id=info:doi/10.1016/j.ultramic.2012.01.014&rft_dat=%3Cproquest_cross%3E1009131487%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c434t-100173ca95e01596fd7ed265a68e3878c7c83f09d8dc662f275599086072972d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1009131487&rft_id=info:pmid/22459119&rfr_iscdi=true