<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T01:29:26Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/114053" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/114053</identifier><datestamp>2026-06-06T00:56:35Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Maria Yang.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Maia Araujo Lima, Barbara</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-03-12T18:53:07Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1026494776</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng. in Advanced Manufacturing and Design, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 73-74).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This project focused on the development of a vacuum head and duct for integration into an automated robotic vacuum cleaning unit for warehouse and industrial applications. Although many autonomous cleaning robots are available on the market, very few are appropriate for industrial applications and those that are often have slow cleaning rates and bulky, impractical sizes. By computational fluid dynamics (CFD) simulations, prototyping, and testing, an improved option for such a robot was created with the capability of competing with current vacuums, a significantly smaller volume, and the ability to clean while moving at much faster speeds. The CFD was crucial in speeding up the iterative design process for the vacuum head as it eliminated the need for many physical iterations. Ultimately a second design is suggested but was not tested. Further recommendations are made as to what areas of improvement could be developed in the future.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Barbara Maia Araujo Lima.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng. in Advanced Manufacturing and Design</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">84 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Optimization of head and duct design for a warehouse vacuum robot using computational fluid dynamics</dim:field>
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   	&lt;Title>Optimization of head and duct design for a warehouse vacuum robot using computational fluid dynamics&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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        	&lt;DisplayName>Maia Araujo Lima, Barbara&lt;/DisplayName>
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   	&lt;Abstract>This project focused on the development of a vacuum head and duct for integration into an automated robotic vacuum cleaning unit for warehouse and industrial applications. Although many autonomous cleaning robots are available on the market, very few are appropriate for industrial applications and those that are often have slow cleaning rates and bulky, impractical sizes. By computational fluid dynamics (CFD) simulations, prototyping, and testing, an improved option for such a robot was created with the capability of competing with current vacuums, a significantly smaller volume, and the ability to clean while moving at much faster speeds. The CFD was crucial in speeding up the iterative design process for the vacuum head as it eliminated the need for many physical iterations. Ultimately a second design is suggested but was not tested. Further recommendations are made as to what areas of improvement could be developed in the future.&lt;/Abstract>
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