{"id":{"repo_id":"must-thes","oai_identifier":"oai:scholarsmine.mst.edu:doctoral_dissertations-3769"},"canonical_url":"https://search.dev.ndltd.org/etd/must-thes/oai:scholarsmine.mst.edu:doctoral_dissertations-3769","repository":{"repo_id":"must-thes","name":"Missouri University of Science and Technology","base_url":"https://scholarsmine.mst.edu/do/oai/"},"display":{"title":"Volumetric error compensation for 5-axis machine tools","abstract":"<p>\"This work presents a geometric error compensation method for large 5-axis machine tools. The compensation method presented here uses tool tip measurements recorded throughout the axis space to construct a position-dependent geometric error model that can easily be used for error compensation. The measurements are taken using a laser tracker, permitting rapid error data gathering at most locations in the axis space. First two model types are compared for generating table-based error compensation and experimental results are presented. Table-based compensation is then extended to machine tool controller types with restrictions on the number or combination of compensation tables using an artificial intelligence method. The overall methodology is then extended to the integration of additional instruments. A particular strength of the proposed methodology is the simultaneous generation of a complete set of compensation tables that accurately captures complicated kinematic errors independent of whether they arise from expected and unexpected sources\"--Abstract, page iv.</p>","abstract_html":"&lt;p&gt;&quot;This work presents a geometric error compensation method for large 5-axis machine tools. The compensation method presented here uses tool tip measurements recorded throughout the axis space to construct a position-dependent geometric error model that can easily be used for error compensation. The measurements are taken using a laser tracker, permitting rapid error data gathering at most locations in the axis space. First two model types are compared for generating table-based error compensation and experimental results are presented. Table-based compensation is then extended to machine tool controller types with restrictions on the number or combination of compensation tables using an artificial intelligence method. The overall methodology is then extended to the integration of additional instruments. A particular strength of the proposed methodology is the simultaneous generation of a complete set of compensation tables that accurately captures complicated kinematic errors independent of whether they arise from expected and unexpected sources&quot;--Abstract, page iv.&lt;/p&gt;","abstract_has_math":false,"creators":["Creamer, Jennifer Ruth"],"institution":"Missouri University of Science and Technology","degree_name":"Ph. 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The measurements are taken using a laser tracker, permitting rapid error data gathering at most locations in the axis space. First two model types are compared for generating table-based error compensation and experimental results are presented. Table-based compensation is then extended to machine tool controller types with restrictions on the number or combination of compensation tables using an artificial intelligence method. The overall methodology is then extended to the integration of additional instruments. A particular strength of the proposed methodology is the simultaneous generation of a complete set of compensation tables that accurately captures complicated kinematic errors independent of whether they arise from expected and unexpected sources\"--Abstract, page iv.</p>"]},{"key":"dc:title","label":"Title","values":["Volumetric error compensation for 5-axis machine tools"]}]}],"canonical_facts":{"dc:creator":["Creamer, Jennifer Ruth"],"dc:description.abstract":["<p>\"This work presents a geometric error compensation method for large 5-axis machine tools. The compensation method presented here uses tool tip measurements recorded throughout the axis space to construct a position-dependent geometric error model that can easily be used for error compensation. The measurements are taken using a laser tracker, permitting rapid error data gathering at most locations in the axis space. First two model types are compared for generating table-based error compensation and experimental results are presented. Table-based compensation is then extended to machine tool controller types with restrictions on the number or combination of compensation tables using an artificial intelligence method. The overall methodology is then extended to the integration of additional instruments. A particular strength of the proposed methodology is the simultaneous generation of a complete set of compensation tables that accurately captures complicated kinematic errors independent of whether they arise from expected and unexpected sources\"--Abstract, page iv.</p>"],"dc:identifier":["https://scholarsmine.mst.edu/doctoral_dissertations/2764"],"dc:subject":["Mechanical Engineering"],"dc:title":["Volumetric error compensation for 5-axis machine tools"],"dc:type":["Dissertation - Open Access"],"thesis:degree_name":["Ph. 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