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AXIOMATIC DESIGN OF BEARING PACKAGING AUTOMATION

dc.contributor.advisorChen, Xiong Biaoen_US
dc.contributor.committeeMemberFotouhi, Rezaen_US
dc.contributor.committeeMemberZhang, Wen Junen_US
dc.contributor.committeeMemberLin, Yen Hanen_US
dc.creatorWang, Zhenen_US
dc.date.accessioned2014-01-24T12:00:14Z
dc.date.available2014-01-24T12:00:14Z
dc.date.created2014-01en_US
dc.date.issued2014-01-23en_US
dc.date.submittedJanuary 2014en_US
dc.description.abstractQA bearing technologies Ltd. (hereafter QA) is a custom manufacturer of bearings in a variety of types and sizes. This research concerns one of the processes in QA’s bearing manufacturing in which the individual bearings, once assembled, are packaged to prevent corrosion and attack from any environmental influence. QA currently employs a manual process, which is time-consuming and significantly limits QA’s productivity. This greatly raises a need to improve this process through the design of an automated process for bearing packaging. Various kinds of packaging machine are available in the market for this application. However, most of them are designed for general packaging purpose and simply combining them may result in the functional overlap as applied to the packaging process. This research aims to design an automatic bearing packaging system (ABPS) based on an advanced design theory, i.e., Axiomatic Design Theory (ADT). In the first part of this research, a set of general functional requirements (FRs) and constraints (CONs) were defined specifically based on the needs from the customers. All FRs were maintained independent to each other such that the following design wouldn’t result in functional overlap. Then, design parameters (DPs) in general level were created to satisfy the defined FRs, each being a functionally independent subsystem consists of both custom-design components and products existing in the market. The second part of the research was to decompose the FRs and DPs based on independent axiom of ADT into further levels until the conceptual design was accomplished. In this process, acceptable alternatives in different hierarchies were proposed for comparison in the decision making process. Also, the relationship between FRs and DPs in the same level was always maintained one-to-one, which allows readily for modification in future, if needed. In the third part of this research, the information axiom of ADT was utilized to find the best solution from alternatives. For this, each alternative was evaluated in terms of the information content that reflects the possibility of satisfying the objective FR. The one with least information content was determined as the best alternative. As a result of this research, two solutions with different degree of automation were recommended for the bearing packaging system. The first solution is featured with higher degree of automation and capable of packaging bearings with limited human interface and as result, the total cost for its implementation is relatively high. The second solution integrates semi-automated machines and simplified sealing strategy and as such, the cost for its implementation is significantly reduced. After the conceptual design is complete, ADT is further applied in the detailed design level for oiling system with custom-designed components and mechanism. For the design of certain DPs, the design process applying ADT is used to compare with conventional methods, proved to be more efficient and simplified. Eventually, the final solution proposed for the detailed design of oiling system is consistent with independent axiom of ADT.en_US
dc.identifier.urihttp://hdl.handle.net/10388/ETD-2014-01-1383en_US
dc.language.isoengen_US
dc.subjectKeyword 1en_US
dc.subjectBearing Packagingen_US
dc.subjectAxiomatic design theoryen_US
dc.subjectAutomationen_US
dc.titleAXIOMATIC DESIGN OF BEARING PACKAGING AUTOMATIONen_US
dc.type.genreThesisen_US
dc.type.materialtexten_US
thesis.degree.departmentMechanical Engineeringen_US
thesis.degree.disciplineMechanical Engineeringen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US

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