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dc.contributor.authorMohan, Karuniyaen_US
dc.date.accessioned2018-09-02T06:00:27Z
dc.date.available2018-09-02T06:00:27Z
dc.date.issued2017-03-10en_US
dc.identifier.othervt_gsexam:9987en_US
dc.identifier.urihttp://hdl.handle.net/10919/84947
dc.description.abstractAerosol Jet® Printing (AJP) is a direct-write based additive manufacturing process that is capable of printing electronics with fine features and various materials. It eliminates the complex masking process in traditional semiconductor manufacturing, thus enables flexible electronics design and reduces manufacturing cost. However, the quality control of AJP processes is still a challenging problem, primarily due to the lack of understanding of the potential root causes of the quality issues. There is a complex interaction among process setting variables, in situ feature variables, and quality variables in AJP processes. In this research, an ensemble model strategy is proposed to quantify the effect of the process setting variables on the in situ feature variables, and the effect of the in situ feature variables on quality variables in a two-level hierarchical way. By identifying significant in situ feature variables as responses for the process setting variables, as well as predictors for product quality in a joint estimation problem, the proposed models have a hierarchical variable relationship to enable in situ process control for variation reduction and defect mitigation. A real case study is investigated to demonstrate the advantages of the proposed method.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis item is protected by copyright and/or related rights. Some uses of this item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectAerosol Jet® Printingen_US
dc.subjectMicroscopic Imagesen_US
dc.subjectPrinted Electronicsen_US
dc.subjectProcess Modelen_US
dc.subjectQualityen_US
dc.titleEnsemble Modelling of in situ Feature Variables for Printed Electronics Manufacturing with in situ Process Control Potentialen_US
dc.typeThesisen_US
dc.contributor.departmentIndustrial and Systems Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineIndustrial and Systems Engineeringen_US
dc.contributor.committeechairJin, Ranen_US
dc.contributor.committeememberJohnson, Blakeen_US
dc.contributor.committeememberSarin, Subhash C.en_US


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