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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v2i5.585</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Physical principles of optimization of the static regime of a cantilever type power-effect sensor with a constant rectangular cross-section</title><url>https://artdesignp.com/journal/JERA/2/5/10.26689/jera.v2i5.585</url><author>KosobutskyyPetro,KuzmynykhMariia,MatviychukYaroslavÂ </author><pub-date pub-type="publication-year"><year>2018</year></pub-date><volume>2</volume><issue>5</issue><history><date date-type="pub"><published-time>2018-10-01</published-time></date></history><abstract>Abstract - In this paper an analysis of the physical principles of two-criterion optimization Pareto static mode of operation of power sensors cantilever type of rectangular type with a stable cross-section. The proposed criterion based on the Cauchy number is one of the characteristic numbers of the proportional miniaturization of microsystem technology. It is established that for a rectangular cantilever with a stable cross-section, the value of the Cauchy does not depend on the width of the micro-console and the material from which it is made.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Zhu O., (2011), Microcantilever Sensors in Biological and Chemical Detections, Sensors &amp; Transducers Journal, 125, Issue 2,1-21</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Tamayo J., Kosaka P., Ruz J., et.al. (2013), Biosensors based on nanomechanical systems. Chem. Soc. Rev., vol.42, PP. 1287-1311</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Voigtlander B. (2015), Scanning Probe Microscopy, Atomic Force Microscopy and Scanning Tunneling Microscopy, Springer</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Mastinu G., Gobbi M., Miano C. (2003) Optimal Design of Complex Mechanical Systems. Springer-Verlag Berlin Heilderberg 2006 P.359; Raphael B., Smith I. Fundamentals of computer aided engineering. John Wiley</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Slawomir Koziel and Xin-She Yang (Eds.) (2011) Computational Optimization, Methods and Algorithms. Springer-Verlag Berlin Heidelberg</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Plaut R., Virgin L. (2011) Optimal design of cantilevered elastica for minimum tip deflection under self-weight. Journal Structural and Multidisciplinary Optimization. Volume 43 Issue 5, May 2011. Vol.43. Issue 5. PP. 657-664</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Gurugubel S., Kallepalli D. (2014) Weight and deflection optimization of Cantilever Beam using a modified Non-Dominated sorting Genetic Algorithm. Ð†ternational organization of Scientific Research. Journal of Engineering (IOSRJEN). vol.04, Issue 03, PP.19- 23</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Gobbi M., Levi F., Mastinu G., Previati. (2015) On the analitical derivation of the Pareto-optimal set with applications to structural design. Struct Multidisc Optim. Structural and Multidisciplinary Optimization. Vol. 51, Issue 3, pp 645â€“657</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>V.Muthukumaran, R.Rajmurugan, V.K.Ram Kumar (2014) Cantilever Beam and Torsion Rod Design Optimization Using Genetic Algorithm. International Journal of Innovative Research in Science, Engineering and Technology. Volume 3, Special Issue 3. PP.2682-2690</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Ortiz G. Universidad Nacional de Colombia, Manizales, Colombia:</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>https://www.mathworks.com/matlabcentral/fileexchange/35824-multi-objective-optimization-using-evolution-strategies--es--as-evolutionary-algorithm--ea-/content/ENSES/Examples.m</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Cantilever Beams Part 1. (2010) Beam Stiffness. Technical TIDBITS. Issue No.20-August 2010 Update from Original February 2001 Publication. Brush Wellman Inc.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Sonin A. (2001) The Physical Basis of Dimensional Analysis. Department of Mechanical Engineering MIT Cambridge, MA 02139. http://web.mit.edu/2.25/www/pdf/DA_unified.pdf</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Gad-el-Hak, M. (2002) MEMS Handbook. CRC Press, Boca Raton, FL, USA</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Deb K. (2001) "Multi-Objective optimization using evolutionary algorithms". John Wiley &amp; Sons, -497 p.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B16" content-type="article"><label>16</label><element-citation publication-type="journal"><p>Messac A. (2015) Optimization in Practice with MATLAB for Engineering Students and Professionals. New York, USA, Cambridge University Press is part of the University of Cambridge. Additional resources for this publication at www.cambridge.org/Messac</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B17" content-type="article"><label>17</label><element-citation publication-type="journal"><p>Kortelysi G., Selley C., Gyurecz G. Et.al. (2012) Engineering Optimization. Typotex. Budapest University of Technology and Economics. Obuda University and Szent Istvan University. P.225. www.tankonyvtar.hu</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
