Analytical modeling of in-situ deformation of part and substrate in laser cladding additive manufacturing of Inconel 625
Analytical modeling of in-situ deformation of part and substrate in laser cladding additive manufacturing of Inconel 625
复制标题
Inconel 625 激光熔覆增材制造中零件和基体原位变形的分析建模
DOI：
10.1016/j.jmapro.2019.11.013
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发表时间：
2020
影响因子：
6.2
通讯作者：
S. Liang
中科院分区：
文献类型：
--
作者：
Jinqiang Ning;D. Sievers;H. Garmestani;S. Liang
激光熔覆是一种广泛使用的增材制造（AM）技术，用于向现有金属部件添加新材料或替代磨损，其中分别使用粉末原料和激光功率沉积和熔融薄金属层。在激光熔覆过程中，反复快速加热和固化导致构建体和基底的变形，例如几何偏差和分层，这对部件是有害的。本文首次提出了一种快速预测激光熔覆过程中基体和组织变形的解析模型。采用移动热源解，并对移动热源解进行了修正，在相同深度处温度均匀的假设下预测了温度分布。模具-基板组装模型被用来预测构建体和基板的变形，其中构建体在数学上被离散成两个部分。所提出的模型提供了一个封闭形式的解决方案，以高计算效率的变形预测相比，有限元模型。选择Inconel 625来证明所提出的模型的能力。在文献中的实验测量验证的基础上观察到密切的协议。
Laser cladding is a widely used additive manufacturing (AM) technique to add new material or replace wear to an existing metallic part, in which thin metal layers are deposited and fused using a powder feedstock and laser power respectively. The repeatedly rapid heat and solidification during the laser cladding process lead to deformation of the build and substrate such as geometrical deviation and delamination, which are detrimental for the part. This paper presents an analytical model for the fast prediction of the deformation of the build and substrate in the laser cladding process for the first time. Moving heat source solution is employed and modified to predict temperature distribution with the assumption of uniform temperature at the same in-depth locations. Die-substrate assembly model is employed to predict the deformation of the build and substrate, in which the build was mathematically discretized into two sections. The presented model provides a closed-form solution to the prediction of deformation with high computational efficiency, compared to finite element models. Inconel 625 is chosen to demonstrate the capability of the presented model. Close agreements are observed based upon validation to experimental measurements in the literature.
DOI：
10.1007/s00170-013-5261-x
发表时间：
2014-01-01
影响因子：
3.4
作者：
Ding, J.;Colegrove, P.;Almeida, P. Sequeira
通讯作者：
Almeida, P. Sequeira