<?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>2026-09-20T11:51:39Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/9754" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/9754</identifier><datestamp>2025-10-27T18:00:47Z</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">Daniel D. Frey.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Sanchez, Hernando Alejandro, 1970-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2005-08-19T19:56:38Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">1998</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">1999</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">42787315</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, February 1999.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 92-93).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The North Berwick Engine Services (NBES) Business Unit at the Pratt &amp; Whitney (PW) facility in North Berwick, Maine has identified the need to develop new for cleaning/stripping parts in the overhaul and repair cycle of jet engine components. I  investigate the issues that must be answered for the introduction of a new cleaning  technique. The new method uses a waterjet in place of a wet abrasive blast using a novaculite slurry solution. The process used to develop high-pressure waterjet cleaning  procedures was based on Robust Design methodology. Robust Design uses orthogonal arrays which allow a large number of variables to be studied with a small  number of experiments. This requires selection of key input factors that affect the output characteristics of the product. A set of experiments with seven control factors  were run in order to determine the response to two quality characteristics: material erosion and increase in surface roughness. Optimum settings for each one of these  seven control factors were established. A verification experiment was run in order to validate predictions made based on the optimum settings. It is estimated that this new cleaning method will yield $1,730,000 of savings over the next five years, eliminate four hours of labor per part, and increase production capacity by two additional person-­years.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Hernando Alejandro Sanchez.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">System Design and Management Program</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">A case study in application of robust design methods to waterjet processes in overhaul and repair of jet engine components</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Case study in application of robust design principles in jet engine overhaul and repair</dim:field>
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   	&lt;Title>A case study in application of robust design methods to waterjet processes in overhaul and repair of jet engine components&lt;/Title>
   	&lt;Subtitle>Case study in application of robust design principles in jet engine overhaul and repair&lt;/Subtitle>
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   	&lt;PublicationDate>1999&lt;/PublicationDate>
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        	&lt;DisplayName>Sanchez, Hernando Alejandro, 1970-&lt;/DisplayName>
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   	&lt;Abstract>The North Berwick Engine Services (NBES) Business Unit at the Pratt &amp;amp; Whitney (PW) facility in North Berwick, Maine has identified the need to develop new for cleaning/stripping parts in the overhaul and repair cycle of jet engine components. I  investigate the issues that must be answered for the introduction of a new cleaning  technique. The new method uses a waterjet in place of a wet abrasive blast using a novaculite slurry solution. The process used to develop high-pressure waterjet cleaning  procedures was based on Robust Design methodology. Robust Design uses orthogonal arrays which allow a large number of variables to be studied with a small  number of experiments. This requires selection of key input factors that affect the output characteristics of the product. A set of experiments with seven control factors  were run in order to determine the response to two quality characteristics: material erosion and increase in surface roughness. Optimum settings for each one of these  seven control factors were established. A verification experiment was run in order to validate predictions made based on the optimum settings. It is estimated that this new cleaning method will yield $1,730,000 of savings over the next five years, eliminate four hours of labor per part, and increase production capacity by two additional person-­years.&lt;/Abstract>
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