LAPSE:2021.0034
Published Article
LAPSE:2021.0034
Optimization of Polymer Extrusion Die Based on Response Surface Method
Amin Razeghiyadaki, Dichuan Zhang, Dongming Wei, Asma Perveen
February 22, 2021
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.
Keywords
design optimization, manufacturing process design, polymer processing, response surface method, sheet die design
Suggested Citation
Razeghiyadaki A, Zhang D, Wei D, Perveen A. Optimization of Polymer Extrusion Die Based on Response Surface Method. (2021). LAPSE:2021.0034
Author Affiliations
Razeghiyadaki A: Mathematics Department, School of Sciences and Humanities, Nazarbayev University, Nur-Sultan 010000, Kazakhstan
Zhang D: Department of Civil & Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan 010000, Kazakhstan [ORCID]
Wei D: Mathematics Department, School of Sciences and Humanities, Nazarbayev University, Nur-Sultan 010000, Kazakhstan
Perveen A: Department of Mechanical & Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan 010000, Kazakhstan [ORCID]
Journal Name
Processes
Volume
8
Issue
9
Article Number
E1043
Year
2020
Publication Date
2020-08-26
Published Version
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr8091043, Publication Type: Journal Article
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LAPSE:2021.0034
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doi:10.3390/pr8091043
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Feb 22, 2021
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[v1] (Original Submission)
Feb 22, 2021
 
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Feb 22, 2021
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Calvin Tsay
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