2026-09-18T21:42:44Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/329652022-01-13T07:54:36Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
David Hardt.
Vanderpuije, Curtis N
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2006-05-15T20:42:26Z
2006-05-15T20:42:26Z
2005
2005
http://hdl.handle.net/1721.1/32965
62860141
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005.
Includes bibliographical references (leaf 37).
Cycle-to-Cycle (CtC) feedback control has been studied extensively with increasing demands on the precision and quality of manufactured parts. Single input-Single output has been studied as the basis of CtC feedback control. In the manufacturing sector, processes consist of many input parameters and critical outputs. Multivariate CtC seeks to extend the findings of SISO CtC to more accurately reflect real world processes. Multiple input-Multiple output CtC feedback control is applied to an injection molding process to verify the effects on quality of the parts produced. A design of experiment is used to determine the gains of the process, regression models are developed and integral feedback control is applied. The process is actively driven to meet specific target outputs. Minimal mean errors and variance ratios ranging from 0.14 to 0.57 are observed indicating an improvement in quality.
by Curtis N. Vanderpuije.
S.B.
37 leaves
1373148 bytes
1372553 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Multivariable cycle-to-cycle of an injection molding process
Multivariable CtC of an injection molding process
Thesis
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<Abstract>Cycle-to-Cycle (CtC) feedback control has been studied extensively with increasing demands on the precision and quality of manufactured parts. Single input-Single output has been studied as the basis of CtC feedback control. In the manufacturing sector, processes consist of many input parameters and critical outputs. Multivariate CtC seeks to extend the findings of SISO CtC to more accurately reflect real world processes. Multiple input-Multiple output CtC feedback control is applied to an injection molding process to verify the effects on quality of the parts produced. A design of experiment is used to determine the gains of the process, regression models are developed and integral feedback control is applied. The process is actively driven to meet specific target outputs. Minimal mean errors and variance ratios ranging from 0.14 to 0.57 are observed indicating an improvement in quality.</Abstract>
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