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dc.contributor.advisorAsiabanpour, Bahram
dc.contributor.authorVejandla, Durga Tejaswani ( )en_US
dc.date.accessioned2012-02-24T10:09:29Z
dc.date.available2012-02-24T10:09:29Z
dc.date.issued2009-05en_US
dc.identifier.citationVejandla, D. T. (2009). Optimizing the automated plasma cutting process by design of experiment (Unpublished thesis). Texas State University-San Marcos, San Marcos, Texas.
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/3158
dc.description.abstractBuilding complex two–dimensional metallic parts is difficult due to the physical properties of the metal, such as its solid nature, thickness, etc. Automated Plasma Cutting is an effective process for building complex parts in a short period of time. It cuts the metallic parts up to one inch thick with any given complexity, and with no usage of physical man power. Since, there are several possible machine settings (i.e., current, pressure, cutting speed, torch height, etc.), parts cut by using the plasma cutting process often lack good quality. Sometimes, these parts are not completely cut because the plasma gas does not penetrate all the way through the sheet metal due to insufficient pressure or excessive torch height, pressure, cutting speed or current. This research was conducted to discover the optimum machine settings by implementing a Design of Experiments approach (DOE) to find those relevant factors that affect the part’s surface quality characteristics (i.e., surface roughness, flatness, accumulation underneath the work piece, bevel angles, and dimensional accuracy of the metal work piece). These important characteristics of part quality were considered as response variables. In this research, a response surface methodology approach and Desirability functions were used to optimize the automated plasma cutting settings. Final results identified an optimal machine configuration that facilitates the fabrication of parts with close-to-perfect quality for all 18 quality measurement responses.en_US
dc.formatText
dc.format.extent145 pages
dc.format.medium1 file (.pdf)
dc.language.isoen
dc.subjectOptimizationen_US
dc.subjectPlasma cuttingen_US
dc.subjectDesign of experimenten_US
dc.subjectDesirability functionen_US
dc.subjectResponse surface methoden_US
dc.subjectOptimal parameter settingen_US
dc.subject.classificationEngineeringen_US
dc.titleOptimizing the Automated Plasma Cutting Process by Design of Experimenten_US
txstate.documenttypeThesis
dc.contributor.committeeMemberNovoa, Clara M.
dc.contributor.committeeMemberHager, Cassandrea Jane
dc.contributor.committeeMemberJimenez, Jesus A.
thesis.degree.departmentIngram School of Engineering
thesis.degree.disciplineIndustrial Technology
thesis.degree.grantorTexas State University-San Marcos
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
txstate.departmentIngram School of Engineering


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