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dc.contributor.advisorDavid E. Hardt.en_US
dc.contributor.authorCrawford, Gregory Allanen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Mechanical Engineering.en_US
dc.date.accessioned2012-11-19T19:16:09Z
dc.date.available2012-11-19T19:16:09Z
dc.date.copyright2012en_US
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/74893
dc.descriptionThesis (Nav. E. and S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 107).en_US
dc.description.abstractElectrical Discharge Machining (EDM) is an advanced machining process that removes material via thermal erosion through a plasma arc. The machining process is accomplished through the application of high frequency current (typically through a fine wire or some other electrode) to a conductive workpiece. The electrode is physically separated from the workpiece by some small distance and the potential difference is commonly discharged through an insulating dielectric material such as deionized water or oil. This short duration application of current produces a spark across the gap between the electrode and workpiece, causing vaporization and melting of local material in both the electrode and workpiece. The EDM process is most frequently used for conductive substrates (i.e. metals); however, research has shown that the process may be successfully used on semiconductor substrates such as doped silicon wafers'. The purpose of this research was to characterize the EDM process using Design of Experiments (DOE) statistical methodology on highly doped silicon wafer workpieces for material removal rate (MRR) and surface roughness (Ra) for both Wire EDM (WEDM) and die sinker EDM machines. Once process characterization was completed, confirmation testing was conducted for each machine. The applied spark energy had a significant impact on processing speed for both machines as expected, with the WEDM processing also heavily dependent on selected control speed. Surface roughness was also found to be highly dependent on spark energy for both machines. Evaluation of minimum obtainable feature sizes for some specific geometries as well as evaluation of various effects on the processing of silicon were also conducted.en_US
dc.description.statementofresponsibilityby Gregory Allan Crawford.en_US
dc.format.extent127 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleProcess characterization of Electrical Discharge Machining of highly doped siliconen_US
dc.title.alternativeProcess characterization of EDM of highly doped siliconen_US
dc.typeThesisen_US
dc.description.degreeNav.E.and S.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc814478697en_US


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