4.6 Article

A pragmatic continuum level model for the prediction of the onset of keyholing in laser powder bed fusion

期刊

出版社

SPRINGER LONDON LTD
DOI: 10.1007/s00170-018-2770-7

关键词

Additive manufacturing; Laser powder bed fusion; Modelling; Keyhole-mode laser melting; 316L stainless steel

资金

  1. Additive Manufacturing Products Division at Renishaw Plc.
  2. Engineering and Physical Sciences Research Council (ESPRC)
  3. Manufacturing Advances Through Training Engineering Researchers (MATTER) scheme
  4. Welsh European Funding Office (WEFO)
  5. Materials and Manufacturing Academy (M2A)
  6. European Social Fund through the Welsh European Funding Office
  7. EPSRC [EP/M028267/1] Funding Source: UKRI

向作者/读者索取更多资源

Laser powder bed fusion (L-PBF) is a complex process involving a range of multi-scale and multi-physical phenomena. There has been much research involved in creating numerical models of this process using both high and low fidelity modelling approaches where various approximations are made. Generally, to model single lines within the process to predict melt pool geometry and mode, high fidelity computationally intensive models are used which, for industrial purposes, may not be suitable. The model proposed in this work uses a pragmatic continuum level methodology with an ablation limiting approach at the mesoscale coupled with measured thermophysical properties. This model is compared with single line experiments over a range of input parameters using a modulated yttrium fibre laser with varying power and line speeds for a fixed powder layer thickness. A good trend is found between the predicted and measured width and depth of the tracks for 316L stainless steel where the transition into keyhole mode welds was predicted within 13% of experiments. The work presented highlights that pragmatic reduced physics-based modelling can accurately capture weld geometry which could be applied to more practical based uses in the L-PBF process.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据