2022 Fiscal Year Final Research Report
Multi-objective robust design of process parameters in rapid heat cycle molding using conformal cooling channel
| Project/Area Number |
20K04223
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Review Section |
Basic Section 18030:Design engineering-related
|
|---|
| Research Institution | Kanazawa University |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
伊藤 誠 金沢大学, 機械工学系, 助教 (30845160)
|
|---|
| Project Period (FY) |
2020-04-01 – 2023-03-31
|
| Keywords | 最適設計 / 多目的最適化 / プラスチック射出成形 / 機械学習 |
|---|
| Outline of Final Research Achievements |
In this research, rapid heat cycle molding (RHCM) that the mold is heated up and cooled down for high product quality and high productivity is adopted, and the process parameters are optimized using design optimization. Weld lines are minimized for high product quality, whereas the cycle time is also minimized for high productivity. Therefore, the multi-objective design optimization is performed. To shorten the cycle time as well as weldline reduction, the RHCM using a heater called the heater-assisted RHCM is developed. Through the numerical simulation, the optimal process parameters are determined. Based on the numerical result, the experiment is also carried out to examine the validity of the proposed approach.
|
| Free Research Field |
最適設計
|
| Academic Significance and Societal Importance of the Research Achievements |
品質向上と生産性向上を目的とした型温加熱冷却成形の実用化に向けて，シミュレーションを用いて最適なプロセスパラメータを機械学習を活用した最適設計法によって決定できることを示した．また，シミュレーションの結果を検証するため，射出成形機による実験を行い，良好な結果が得られた．型温加熱冷却成形の有用性を広く検証できた点，また機械学習を活用した最適設計法が生産技術分野に活用できることを実証した点は学術的意義は高く，産業応用が可能な点を示したことは実用的にも有意義である．
|
