Hybrid Manufacturing Process Planning for Arbitrary Part and Tool Shapes
Autor: | George P. Harabin, Morad Behandish |
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Rok vydání: | 2022 |
Předmět: |
Computational Geometry (cs.CG)
Computational Engineering Finance and Science (cs.CE) FOS: Computer and information sciences Computer Science - Robotics Artificial Intelligence (cs.AI) Computer Science - Artificial Intelligence Computer Science - Computational Geometry Computer Science - Computational Engineering Finance and Science Robotics (cs.RO) Computer Graphics and Computer-Aided Design Industrial and Manufacturing Engineering Computer Science Applications |
Zdroj: | Computer-Aided Design. 151:103299 |
ISSN: | 0010-4485 |
DOI: | 10.1016/j.cad.2022.103299 |
Popis: | Hybrid manufacturing (HM) technologies combine additive and subtractive manufacturing (AM/SM) capabilities in multi-modal process plans that leverage the strengths of each. Despite the growing interest in HM technologies, software tools for process planning have not caught up with advances in hardware and typically impose restrictions that limit the design and manufacturing engineers' ability to systematically explore the full design and process planning spaces. We present a general framework for identifying AM/SM actions that make up an HM process plan based on accessibility and support requirements, using morphological operations that allow for arbitrary part and tool geometries to be considered. To take advantage of multi-modality, we define the actions to allow for temporary excessive material deposition or removal, with an understanding that subsequent actions can correct for them, unlike the case in unimodal (AM-only or SM-only) process plans that are monotonic. We use this framework to generate a combinatorial space of valid, potentially non-monotonic, process plans for a given part of arbitrary shape, a collection of AM/SM tools of arbitrary shapes, and a set of relative rotations (fixed for each action) between them, representing build/fixturing directions on $3-$axis machines. Finally, we use define a simple objective function quantifying the cost of materials and operating time in terms of deposition/removal volumes and use a search algorithm to explore the exponentially large space of valid process plans to find "cost-optimal" solutions. We demonstrate the effectiveness of our method on 3D examples. Special Issue on symposium on Solid and Physical Modeling (SPM'2022) |
Databáze: | OpenAIRE |
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