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OPTIMIZATION OF POLYMER EXTRUSION DIE BASED ON RESPONSE SURFACE METHOD

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dc.contributor.author Razeghiyadaki, Amin
dc.contributor.author Zhang, Dichuan
dc.contributor.author Wei, Dongming
dc.contributor.author Perveen, Asma
dc.date.accessioned 2021-07-03T10:52:21Z
dc.date.available 2021-07-03T10:52:21Z
dc.date.issued 2020-08
dc.identifier.citation Razeghiyadaki, A., Zhang, D., Wei, D., & Perveen, A. (2020). Optimization of Polymer Extrusion Die Based on Response Surface Method. Processes, 8(9), 1043. https://doi.org/10.3390/pr8091043 en_US
dc.identifier.issn 2227-9717
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/5526
dc.description.abstract A coupled surface response optimization method with a three-dimensional finite volume method is adopted in this study to identify five independent geometric variables of the die interior that provides a design with the lowest velocity variance at the exit of the coat-hanger extrusion die. Two of these five geometric variables represent the manifold dimension while the other three variables represent the die profile. In this method, B-spline fitting with four points was used to represent the die profile. A comparison of the optimized die obtained in our study and the die with a geometry derived by a previous theoretical work shows a 20.07% improvement in the velocity distribution at the exit of the die en_US
dc.language.iso en en_US
dc.publisher Processes en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Type of access: Open Access en_US
dc.subject polymer processing en_US
dc.subject sheet die design en_US
dc.subject response surface method en_US
dc.subject design optimization en_US
dc.subject manufacturing process design en_US
dc.title OPTIMIZATION OF POLYMER EXTRUSION DIE BASED ON RESPONSE SURFACE METHOD en_US
dc.type Article en_US
workflow.import.source science


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Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States