Variable Offset Computation Space for Automatic Cooling Dimensioning
The injection mold is one of the most important elements for the part precision of this important mass production process. The thermal mold design is realized by cooling channels around the cavity and poses as a decisive factor for the part quality. Thus, the objective but specific design of the coo...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
|
| Series: | Polymers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4360/14/4/762 |
| _version_ | 1797476975328100352 |
|---|---|
| author | Christian Hopmann Daniel Colin Fritsche Tobias Hohlweck Julius Nehring-Wirxel |
| author_facet | Christian Hopmann Daniel Colin Fritsche Tobias Hohlweck Julius Nehring-Wirxel |
| author_sort | Christian Hopmann |
| collection | DOAJ |
| description | The injection mold is one of the most important elements for the part precision of this important mass production process. The thermal mold design is realized by cooling channels around the cavity and poses as a decisive factor for the part quality. Thus, the objective but specific design of the cooling channel layout is crucial for a reproducible part with high-dimensional accuracy in production. Consequently, knowledge-based and automated methods are used to create the optimal heat management in the mold. One of these methods is the inverse thermal mold design, which uses a specific calculation space. The geometric boundary conditions of the optimization algorithm influence the resulting thermal balance within the mold. As the calculation area in the form of an offset around the molded part is one of these boundary conditions, its influence on the optimization result is determined. The thermal optimizations show a dependency on different offset shapes due to the offset thickness and coalescence of concave geometries. An algorithm is developed to generate an offset for this thermal mold design methodology considering the identified influences. Hence, a reproducible and adaptive offset is generated automatically for a complex geometry, and the quality function result improves by 43% in this example. |
| first_indexed | 2024-03-09T21:11:25Z |
| format | Article |
| id | doaj.art-bd8b9c0bc35547c3928d2931d5b99f00 |
| institution | Directory Open Access Journal |
| issn | 2073-4360 |
| language | English |
| last_indexed | 2024-03-09T21:11:25Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polymers |
| spelling | doaj.art-bd8b9c0bc35547c3928d2931d5b99f002023-11-23T21:45:27ZengMDPI AGPolymers2073-43602022-02-0114476210.3390/polym14040762Variable Offset Computation Space for Automatic Cooling DimensioningChristian Hopmann0Daniel Colin Fritsche1Tobias Hohlweck2Julius Nehring-Wirxel3Institute for Plastics Processing (IKV) in Industry and Craft at RWTH Aachen University, 52070 Aachen, GermanyInstitute for Plastics Processing (IKV) in Industry and Craft at RWTH Aachen University, 52070 Aachen, GermanyInstitute for Plastics Processing (IKV) in Industry and Craft at RWTH Aachen University, 52070 Aachen, GermanyVisual Computing Institute, RWTH Aachen University, 52070 Aachen, GermanyThe injection mold is one of the most important elements for the part precision of this important mass production process. The thermal mold design is realized by cooling channels around the cavity and poses as a decisive factor for the part quality. Thus, the objective but specific design of the cooling channel layout is crucial for a reproducible part with high-dimensional accuracy in production. Consequently, knowledge-based and automated methods are used to create the optimal heat management in the mold. One of these methods is the inverse thermal mold design, which uses a specific calculation space. The geometric boundary conditions of the optimization algorithm influence the resulting thermal balance within the mold. As the calculation area in the form of an offset around the molded part is one of these boundary conditions, its influence on the optimization result is determined. The thermal optimizations show a dependency on different offset shapes due to the offset thickness and coalescence of concave geometries. An algorithm is developed to generate an offset for this thermal mold design methodology considering the identified influences. Hence, a reproducible and adaptive offset is generated automatically for a complex geometry, and the quality function result improves by 43% in this example.https://www.mdpi.com/2073-4360/14/4/762variable offsetthermal simulationcooling channelmedial axismold design |
| spellingShingle | Christian Hopmann Daniel Colin Fritsche Tobias Hohlweck Julius Nehring-Wirxel Variable Offset Computation Space for Automatic Cooling Dimensioning Polymers variable offset thermal simulation cooling channel medial axis mold design |
| title | Variable Offset Computation Space for Automatic Cooling Dimensioning |
| title_full | Variable Offset Computation Space for Automatic Cooling Dimensioning |
| title_fullStr | Variable Offset Computation Space for Automatic Cooling Dimensioning |
| title_full_unstemmed | Variable Offset Computation Space for Automatic Cooling Dimensioning |
| title_short | Variable Offset Computation Space for Automatic Cooling Dimensioning |
| title_sort | variable offset computation space for automatic cooling dimensioning |
| topic | variable offset thermal simulation cooling channel medial axis mold design |
| url | https://www.mdpi.com/2073-4360/14/4/762 |
| work_keys_str_mv | AT christianhopmann variableoffsetcomputationspaceforautomaticcoolingdimensioning AT danielcolinfritsche variableoffsetcomputationspaceforautomaticcoolingdimensioning AT tobiashohlweck variableoffsetcomputationspaceforautomaticcoolingdimensioning AT juliusnehringwirxel variableoffsetcomputationspaceforautomaticcoolingdimensioning |