With the emergence of micromanufacturing technologies, a critical need to develop process models that can accurately predict the required parameters, such as process forces, has arisen. As with the manufacturing processes themselves, macroscale process models can not effectively be used at the microscale due to size effects, i.e. changes in material and process parameters with miniaturization. Size effects with respect to material properties and frictional conditions have been demonstrated in past research. This dissertation demonstrates the existence of size effects due to process model assumptions and specimen deformation.
The new models were evaluated by comparing the predicted results to both experimental and finite element simulation results. These new models showed significantly improved predictions of the peak forces for the microscale processes investigated. This is significant because sheet metal forming processes such as bending and extrusion are ideal fabrication techniques for mass production of parts at very competitive unit costs.
","abstract_html":"<p>With the emergence of micromanufacturing technologies, a critical need to develop process models that can accurately predict the required parameters, such as process forces, has arisen. As with the manufacturing processes themselves, macroscale process models can not effectively be used at the microscale due to size effects, i.e. changes in material and process parameters with miniaturization. Size effects with respect to material properties and frictional conditions have been demonstrated in past research. This dissertation demonstrates the existence of size effects due to process model assumptions and specimen deformation.</p><p>The new models were evaluated by comparing the predicted results to both experimental and finite element simulation results. These new models showed significantly improved predictions of the peak forces for the microscale processes investigated. This is significant because sheet metal forming processes such as bending and extrusion are ideal fabrication techniques for mass production of parts at very competitive unit costs.</p>","abstract_has_math":false,"creators":["Onyancha, Richard M"],"institution":null,"degree_name":"Doctor of Philosophy","degree_level":"Dissertation","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2007,"date_issued":"2007-01-01T08:00:00Z","date_published":"2007-01-01T08:00:00Z","updated_at":"2026-07-24T05:22:19Z","subjects":["Engineering","Mechanical","Materials Science"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholars.unh.edu/dissertation/400","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Onyancha, Richard M"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering","Mechanical","Materials Science"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholars.unh.edu/dissertation/400"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["With the emergence of micromanufacturing technologies, a critical need to develop process models that can accurately predict the required parameters, such as process forces, has arisen. As with the manufacturing processes themselves, macroscale process models can not effectively be used at the microscale due to size effects, i.e. changes in material and process parameters with miniaturization. Size effects with respect to material properties and frictional conditions have been demonstrated in past research. This dissertation demonstrates the existence of size effects due to process model assumptions and specimen deformation.
The new models were evaluated by comparing the predicted results to both experimental and finite element simulation results. These new models showed significantly improved predictions of the peak forces for the microscale processes investigated. This is significant because sheet metal forming processes such as bending and extrusion are ideal fabrication techniques for mass production of parts at very competitive unit costs.
"]},{"key":"dc:title","label":"Title","values":["Analytical model development and experimental investigation of process model size effects in microforming"]}]}],"canonical_facts":{"dc:creator":["Onyancha, Richard M"],"dc:description.abstract":["With the emergence of micromanufacturing technologies, a critical need to develop process models that can accurately predict the required parameters, such as process forces, has arisen. As with the manufacturing processes themselves, macroscale process models can not effectively be used at the microscale due to size effects, i.e. changes in material and process parameters with miniaturization. Size effects with respect to material properties and frictional conditions have been demonstrated in past research. This dissertation demonstrates the existence of size effects due to process model assumptions and specimen deformation.
The new models were evaluated by comparing the predicted results to both experimental and finite element simulation results. These new models showed significantly improved predictions of the peak forces for the microscale processes investigated. This is significant because sheet metal forming processes such as bending and extrusion are ideal fabrication techniques for mass production of parts at very competitive unit costs.
"],"dc:identifier":["https://scholars.unh.edu/dissertation/400"],"dc:subject":["Engineering","Mechanical","Materials Science"],"dc:title":["Analytical model development and experimental investigation of process model size effects in microforming"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy"]},"updated_at":"2026-07-24T05:22:19Z"}