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TECHNICAL PAPERS

A Knowledge-Based Tuning Method for Injection Molding Machines

[+] Author and Article Information
Dongzhe Yang, Kourosh Danai, David Kazmer

Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA 01003

J. Manuf. Sci. Eng 123(4), 682-691 (Dec 01, 2000) (10 pages) doi:10.1115/1.1382596 History: Received January 01, 2000; Revised December 01, 2000
Copyright © 2001 by ASME
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References

Figures

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Schematic of the Knowledge-Based Tuning Method
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Estimated range of output by the interval model based on one reference input
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Estimated range of output by the interval model based on five reference inputs
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Estimated range of output by a monotonic interval model for a nonmonotonic input-output relationship
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Estimated range of output by the updated interval model for a nonmonotonic input-output relationship
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Part quality attributes and the feasible region of the Test Model
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The estimated and selection regions by the KBT Method for the Test Model after 9 iterations
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The estimated feasible region by CCE design for the Test Model
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The machine setpoints selected by the KBIM Method at each process iteration
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Measurements of the part quality attributes produced by the selected machine setpoints. Output 1: OD Deviation (micron), Output 2: Vertical Deviation (micron). Output 3: Min. Birefringence (nm), Output 4: Max. Birefringence (nm), Output 5: Min. Radial Deviation (degree), Output 6: Max. Radial Deviation (degree), Output 7: Max. Tangential Deviation (degree).
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Smallest standard deviation numbers (SSDN) calculated using two sets of standard deviation values
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The initial and updated coefficient intervals of the minimum birefringence during the experiments
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The initial and updated coefficient intervals of the vertical deviation during the experiments
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Percentage of the selection region in the search space

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