Metal cutting simulations using smoothed particle hydrodynamics on the GPU
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Author / Producer
Date
2019-06
Publication Type
Journal Article
ETH Bibliography
yes
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OPEN ACCESS
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Abstract
In this work, orthogonal metal cutting simulations of Ti6Al4V are presented for two purposes: the accurate prediction of chip shapes and the automatic optimization of cutting parameters. To achieve these results, a new software tool is presented. This software tool employs meshless methods instead of the established FEM and is parallelized using GPGPU computing. These characteristics allow for a dramatic reduction in the computation time compared to established tools, enabling low-resolution simulations in the orders of minutes, and extremely high-resolution simulations in over night time frames, making the aforementioned goals possible. On the other hand, overnight simulations with very high particle numbers are conducted to study the chip shape. In the interest of reproducibility, the software tool developed is made open source and can be obtained from https://github.com/mroethli/mfree_iwf-ul_cut_gpu.
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Publication status
published
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Book title
Volume
102 (9-12)
Pages / Article No.
3445 - 3457
Publisher
Springer
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Edition / version
Methods
Software
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Date collected
Date created
Subject
Simulation; Metal cutting; Meshless; SPH; GPGPU
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Notes
It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
Funding
149436 - GPU-Enhanced Metal Cutting Simulation using Advanced Meshfree Methods (SNF)