よりスマートな3Dプリントで、より良い部品をより速く(Smarter 3D printing makes better parts faster)

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レーザーの印刷経路を最適化する粉体床式溶融プリンター用ソフトウエア Software for powder bed fusion printers optimizes laser’s printing path

2022-04-08 ミシガン大学

ミシガン大学が開発した新しいソフトウェアにより、レーザー粉末床溶融プリンターにおける有害な熱の蓄積を抑えることができるため、3Dプリンターによる複雑な金属およびプラスチック部品の製造が間もなく改善されるかもしれません。
SmartScanと呼ばれるこのソフトウェアは、最近の研究で、熱分布が41%改善され、変形が47%減少することが実証されました。

<関連情報>

スマートスキャン PBF積層造形における均一な熱分布、残留応力と変形の低減を実現するインテリジェントなスキャン手法 SmartScan: An intelligent scanning approach for uniform thermal distribution, reduced residual stresses and deformations in PBF additive manufacturing

Keval S.RamaniChuanHeYueh-LinTsaiChinedum E.Okwudire
Science Direct Published:18 February 2022
https://doi.org/10.1016/j.addma.2022.102643

よりスマートな3Dプリントで、より良い部品をより速く(Smarter 3D printing makes better parts faster)

Abstract

Parts produced by laser or electron-beam powder bed fusion (PBF) additive manufacturing are prone to residual stresses, deformations, and other defects linked to non-uniform temperature distribution during the manufacturing process. Several researchers have highlighted the important role scan sequence plays in achieving uniform temperature distribution in PBF. However, scan sequence continues to be determined offline based on trial-and-error or heuristics, which are neither optimal nor generalizable. To address these weaknesses, we have articulated a vision for an intelligent scan sequence optimization approach to achieve uniform temperature distribution, hence reduced residual stresses and deformations, in PBF using physics-based and data-driven thermal models. This paper proposes SmartScan, our first attempt towards achieving our vision using a simplified physics-based thermal model. The conduction and convection dynamics of a single layer of the PBF process are modeled using the finite difference method and radial basis functions. Using the model, the next best feature (e.g., stripe or island) that minimizes a thermal uniformity metric is found using control theory. Simulations and experiments involving laser marking of a stainless steel plate are used to demonstrate the effectiveness of SmartScan in comparison to existing heuristic scan sequences for stripe and island scan patterns. In experiments, SmartScan yields up to 41% improvement in average thermal uniformity and 47% reduction in deformations (i.e., warpage) compared to existing heuristic approaches. It is also shown to be robust, and computationally efficient enough for online implementation in the future.

0505化学装置及び設備
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