Statistical analysis of spatial distribution of pores in metal additive manufacturing

Ghamarian, I.; Ball, S.; Ghayoor, M.; Pasebani, S.; Tabei, A.

doi:10.1016/j.addma.2021.102264

Title: Statistical analysis of spatial distribution of pores in metal additive manufacturing

Journal Article · 19 August 2021 · Additive Manufacturing

DOI: https://doi.org/10.1016/j.addma.2021.102264 · OSTI ID:1976795

Ghamarian, I. ^[1]; Ball, S. ^[2]; Ghayoor, M. ^[2]; Pasebani, S. ^[2]; Tabei, A. ^[2]

University of Michigan, Ann Arbor, MI (United States); OSTI
Oregon State University, Corvallis, OR (United States); Advanced Technology and Manufacturing Institute (ATAMI), Corvallis, OR (United States)

We report mechanical properties of additively manufactured parts are sensitive to the presence of pores form during the manufacturing process. The impact of pores on the mechanical performance has been investigated extensively with respect to different parameters, such as pore volume fraction, shape, and size. However, statistical investigations focusing on the relationships between the spatial distribution of pores and process parameters; and consequently, the performance of the manufactured parts are scattered and limited. Also, these sparse investigations usually suffer from an ambiguous definition of terminologies. For instance, the required criteria to consider a point pattern as complete spatial randomness (CSR) are generally not clarified. Moreover, no numerical formalism is yet developed to show how much the observed spatial results are statistically significant. To address these shortcomings, the statistical definition of CSR in a point pattern and the procedure to quantitatively determine the deviation of a pattern from CSR were discussed. The explained statistical approach was used to investigate the effect of scanning speed parameter on the spatial distribution of gas pores in laser powder bed fusion manufactured stainless steel parts. Furthermore, and to highlight the impact of the spatial distribution of pores on mechanical properties, fatigue performances of parts with clustered and randomly distributed pores were simulated by finite element analysis. It is shown that by reducing the scanning speed, the spatial distribution of gas pores deviated more from CSR, and correspondingly fatigue performance deteriorated.

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Research Organization:: American Institute of Chemical Engineers (AIChE), New York, NY (United States)

Sponsoring Organization:: Murdock Charitable Trust; National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: EE0007888

OSTI ID:: 1976795

Journal Information:: Additive Manufacturing, Journal Name: Additive Manufacturing Journal Issue: C Vol. 47; ISSN 2214-8604

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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36 MATERIALS SCIENCE
42 ENGINEERING
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Title: Statistical analysis of spatial distribution of pores in metal additive manufacturing

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