Reinforcement learning and optimization based path planning for thin-walled structures in wire arc additive manufacturing
| العنوان: | Reinforcement learning and optimization based path planning for thin-walled structures in wire arc additive manufacturing |
|---|---|
| المؤلفون: | Jan Petrik, Markus Bambach |
| المصدر: | Journal of Manufacturing Processes, 93 |
| بيانات النشر: | Elsevier, 2023. |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Path planning, Wire arc additive manufacturing, Reinforcement learning, Strategy and Management, Management Science and Operations Research, Industrial and Manufacturing Engineering |
| الوصف: | A well-designed deposition path is one of the basic prerequisites for the successful fabrication of a component by deposition based additive manufacturing processes. Three main approaches are currently used to determine the deposition path. First, these are general path templates that are applied to the entire geometry. Nevertheless, this approach suffers from poor adaptability to the geometry. Second, they are algorithms where it is necessary to divide the geometry into sub-parts, which are then filled either by general path templates or by paths derived, e.g., from the signed distance function. These often require human intervention and may fail to find a suitable deposition path. Third, there are planning strategies that deal only with a particular topologies, and are not transferable to other geometries. A developed path planning framework named RLPlanner, which makes use of reinforcement learning as well as automatized prepossessing and Sequential Least Squares Programming optimization method, addresses these drawbacks. This solution enables fully automatic deposition path planning for thin-walled structures in wire arc additive manufacturing. In addition, the framework is able to vary the welding speed with the wire feed rate and thus influence the size of the weld bead leading to better adaptability to the geometry. Journal of Manufacturing Processes, 93 ISSN:1526-6125 |
| وصف الملف: | application/application/pdf |
| اللغة: | English |
| تدمد: | 1526-6125 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b800b0f82b58ab811ea2daaccf78afb8 https://hdl.handle.net/20.500.11850/604593 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....b800b0f82b58ab811ea2daaccf78afb8 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15266125 |
|---|