2020
DOI: 10.1007/978-3-030-57422-2_20
|View full text |Cite
|
Sign up to set email alerts
|

Neuroevolutionary Multiobjective Optimization of Injection Stretch Blow Molding Process in the Blowing Phase

Abstract: Injection stretch blow molding is a very important thermoplastic processing technique producing hollow containers with mechanical performance. One of the main challenges in optimizing this process consists in finding the best thickness profile for each part in order to achieve the desired mechanical properties with less material use. In a previous study, a new methodology based on a neuroevolutionary multiobjective optimization approach was proposed to enhance the entire process, which considers that the proce… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
4
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
2

Relationship

4
3

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 8 publications
0
4
0
Order By: Relevance
“…For that purpose, the mean ( f 1 ) and the maximum ( f 2 ) errors between the optimal thickness distribution and the thickness distribution of the parison must be minimized. More details on this optimization can be found elsewhere [ 15 , 16 ].…”
Section: Need For Optimization In Polymer Processingmentioning
confidence: 99%
“…For that purpose, the mean ( f 1 ) and the maximum ( f 2 ) errors between the optimal thickness distribution and the thickness distribution of the parison must be minimized. More details on this optimization can be found elsewhere [ 15 , 16 ].…”
Section: Need For Optimization In Polymer Processingmentioning
confidence: 99%
“…The aim was to determine the best thickness profile for the bottle that assured the desired mechanical properties with minimal material usage. Recently, Pinto et al [93] found the best thickness profile for the preform that would produce the bottle that was previously optimized. In Figure 4, Solutions S1 and S2 for two different case studies were selected from the corresponding Pareto fronts (Figure 4A) and the thickness profile of these solutions was compared with the target (desired) profile (Figure 4B).…”
Section: Injection Blow Moldingmentioning
confidence: 99%
“…For that purpose, the mean (f1) and the maximum (f2) errors between the optimal thickness distribution and the thickness distribution of the parison must be minimized. More details on this optimization can be found elsewhere [15,16].…”
Section: Need For Optimization In Polymer Processingmentioning
confidence: 99%