Multiobjective Optimization System of Extrusion Process Parameters for Targeted Microtubes Based on RSM and NSGA-II

An optimization system of extrusion process parameters was designed to rapidly extrude a microtube with a target diameter and wall thickness for forming medical balloons with personalized size characteristics. Firstly, the double convected pom-pom (DCPP) model was selected for the numerical simulati...

Full description

Saved in:
Bibliographic Details
Main Authors: Qingqing Zhang, Guobao Jin, Guanghui Dai
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2022/9895908
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849396932471947264
author Qingqing Zhang
Guobao Jin
Guanghui Dai
author_facet Qingqing Zhang
Guobao Jin
Guanghui Dai
author_sort Qingqing Zhang
collection DOAJ
description An optimization system of extrusion process parameters was designed to rapidly extrude a microtube with a target diameter and wall thickness for forming medical balloons with personalized size characteristics. Firstly, the double convected pom-pom (DCPP) model was selected for the numerical simulation of the tube extrusion process, and different parameter combinations and their corresponding simulation results were extracted based on orthogonal experiments. Secondly, the nonlinear functional relationships between microtube diameter and wall thickness with extrusion parameters were established based on the response surface model (RSM). Finally, the nondominated sorting genetic algorithm II (NSGA-II) and response surface model (RSM) were mixed to find the optimal parameters of the tube extrusion. The extrusion experiment results, taking three microtubes with different target size characteristics (1, 0.15), (1, 0.2), and (1.5, 0.2) as examples, show that the average error between the actual and predicted values of diameter and wall thickness of three microtubes is 6.53%, where the average diameter error is 7.3%, the wall thickness error is 5.77%, the maximum value is 9%, and the minimum value is only 1.3%.
format Article
id doaj-art-a98e9537fdc74aafa7e307bf319272eb
institution Kabale University
issn 1687-8442
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Advances in Materials Science and Engineering
spelling doaj-art-a98e9537fdc74aafa7e307bf319272eb2025-08-20T03:39:11ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/9895908Multiobjective Optimization System of Extrusion Process Parameters for Targeted Microtubes Based on RSM and NSGA-IIQingqing Zhang0Guobao Jin1Guanghui Dai2College of Mechanical EngineeringCollege of Mechanical EngineeringCollege of Mechanical EngineeringAn optimization system of extrusion process parameters was designed to rapidly extrude a microtube with a target diameter and wall thickness for forming medical balloons with personalized size characteristics. Firstly, the double convected pom-pom (DCPP) model was selected for the numerical simulation of the tube extrusion process, and different parameter combinations and their corresponding simulation results were extracted based on orthogonal experiments. Secondly, the nonlinear functional relationships between microtube diameter and wall thickness with extrusion parameters were established based on the response surface model (RSM). Finally, the nondominated sorting genetic algorithm II (NSGA-II) and response surface model (RSM) were mixed to find the optimal parameters of the tube extrusion. The extrusion experiment results, taking three microtubes with different target size characteristics (1, 0.15), (1, 0.2), and (1.5, 0.2) as examples, show that the average error between the actual and predicted values of diameter and wall thickness of three microtubes is 6.53%, where the average diameter error is 7.3%, the wall thickness error is 5.77%, the maximum value is 9%, and the minimum value is only 1.3%.http://dx.doi.org/10.1155/2022/9895908
spellingShingle Qingqing Zhang
Guobao Jin
Guanghui Dai
Multiobjective Optimization System of Extrusion Process Parameters for Targeted Microtubes Based on RSM and NSGA-II
Advances in Materials Science and Engineering
title Multiobjective Optimization System of Extrusion Process Parameters for Targeted Microtubes Based on RSM and NSGA-II
title_full Multiobjective Optimization System of Extrusion Process Parameters for Targeted Microtubes Based on RSM and NSGA-II
title_fullStr Multiobjective Optimization System of Extrusion Process Parameters for Targeted Microtubes Based on RSM and NSGA-II
title_full_unstemmed Multiobjective Optimization System of Extrusion Process Parameters for Targeted Microtubes Based on RSM and NSGA-II
title_short Multiobjective Optimization System of Extrusion Process Parameters for Targeted Microtubes Based on RSM and NSGA-II
title_sort multiobjective optimization system of extrusion process parameters for targeted microtubes based on rsm and nsga ii
url http://dx.doi.org/10.1155/2022/9895908
work_keys_str_mv AT qingqingzhang multiobjectiveoptimizationsystemofextrusionprocessparametersfortargetedmicrotubesbasedonrsmandnsgaii
AT guobaojin multiobjectiveoptimizationsystemofextrusionprocessparametersfortargetedmicrotubesbasedonrsmandnsgaii
AT guanghuidai multiobjectiveoptimizationsystemofextrusionprocessparametersfortargetedmicrotubesbasedonrsmandnsgaii