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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

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Amellal,  K., Tzoganakis,  C., Penlidis,  A., and Rempel,  G. L., 1994, “Injection Molding of Medical Plastics: a Review,” Adv. Polym. Technol., 13, pp. 315–322.
Farrell, R. E., and Dzeskievicz, L., 1994, “Expert Systems for Injection Molding,” SPE ANTEC Conference Proceedings.
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Pandelidis,  I. O., and Kao,  J. F., 1990, “DETECTOR, a Knowledge-Based System for Injection Molding Diagnostics,” Journal of Intelligent Manufacturing, 1, pp. 49–58.
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Schmidt, S., and Launsby, R., 1988, Understanding Industrial Designed Experiments, Air Academy Press, Colorado Springs, Colorado.
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Ivester,  R., and Danai,  K., 1998, “Tuning and Automatic Regulation of Injection Molding by the Virtual Search Method,” ASME J. Manuf. Sci. Eng., 120, pp. 323–329.
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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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