A strategy for problem solving of filling imbalance in geometrically balanced injection molds
Authors:
- Krzysztof Wilczyński,
- Przemysław Narowski
Abstract
Simulation and experimental studies were performed on filling imbalance in geometrically balanced injection molds. An original strategy for problem solving was developed to optimize the imbalance phenomenon. The phenomenon was studied both by simulation and experimentation using several different runner systems at various thermo-rheological material parameters and process operating conditions. Three optimization procedures were applied, Response Surface Methodology (RSM), Taguchi method, and Artificial Neural Networks (ANN). Operating process parameters: the injection rate, melt temperature, and mold temperature, as well as the geometry of the runner system were optimized. The imbalance of mold filling as well as the process parameters: the injection pressure, injection time, and molding temperature were optimization criteria. It was concluded that all the optimization procedures improved filling imbalance. However, the Artificial Neural Networks approach seems to be the most e°Cient optimization procedure, and the Brain Construction Algorithm (BSM) is proposed for problem solving of the imbalance phenomenon.
- Record ID
- WUT55291d92ceda419886943112285635be
- Author
- Journal series
- Polymers, ISSN 2073-4360
- Issue year
- 2020
- Vol
- 12
- No
- 4
- Pages
- 1-20
- Publication size in sheets
- 0.95
- Article number
- 805
- ASJC Classification
- ;
- DOI
- DOI:10.3390/POLYM12040805 Opening in a new tab
- URL
- https://www.mdpi.com/2073-4360/12/4/805 Opening in a new tab
- Language
- (en) English
- License
- File
-
- File: 1
- A strategy for problem solving of filling imbalance in geometrically balanced injection molds, File polymers-12-00805.pdf / 6 MB
- polymers-12-00805.pdf
- publication date: 20-07-2020
- A strategy for problem solving of filling imbalance in geometrically balanced injection molds, File polymers-12-00805.pdf / 6 MB
-
- Score (nominal)
- 100
- Score source
- journalList
- Score
- = 100.0, 29-04-2022, ArticleFromJournal
- Publication indicators
- = 7; = 0; = 7; : 2018 = 1.057; : 2017 (2 years) = 2.935 - 2017 (5 years) =3.509
- Citation count
- 7
- Uniform Resource Identifier
- https://repo.pw.edu.pl/info/article/WUT55291d92ceda419886943112285635be/
- URN
urn:pw-repo:WUT55291d92ceda419886943112285635be
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.