A point field driven approach to process metrics based on laser powder bed fusion additive manufacturing models and in situ process monitoring

被引：8

作者：

Hocker, Samuel J. A. ^{[1
]}

Richter, Brodan ^{[1
]}

Spaeth, Peter W. ^{[1
]}

Kitahara, Andrew R. ^{[2
]}

Zalameda, Joseph N. ^{[1
]}

Glaessgen, Edward H. ^{[1
]}

机构：

[1] NASA Langley Res Ctr, Hampton, VA 23666 USA

[2] Natl Inst Aerosp, Hampton, VA USA

来源：

JOURNAL OF MATERIALS RESEARCH | 2023年 / 38卷 / 07期

关键词：

Additive manufacturing; In situ; Modeling; Multiscale; Porosity; Computation; computing;

D O I：

10.1557/s43578-023-00953-7

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The widespread adoption of additive manufacturing (AM) in different industries has accelerated the need for quality control of these AM parts. Some of the complex and labor-intensive challenges associated with qualification and certification of AM parts are addressed by modeling and monitoring process conditions. Quantifying melt-track process conditions remains a significant computational challenge due to the large-scale differential between melt pool and part volumes. This work explores a novel point field (PF) driven AM model-based process metric (AM-PM) approach for calculating melt track resolved process conditions with maximal computational speed. A cylindrical Ti-6Al-4V test article with 16 equiangular zones having varied process parameters was built. The melt-track resolved AM-PMs were calculated and mapped to porosity existence for the 5.8-million-point PF of the test article. AM-PMs were calculated in 6.5 min, similar to 665 x faster than a similarly sized finite element calculation. This approach enables efficient prediction, assessment, and adjustment of AM builds.

引用

页码：1866 / 1881

页数：16

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