View in EDS

Quantification and prediction of lack-of-fusion porosity in the high porosity regime during laser powder bed fusion of Ti-6Al-4V.

Saved in:
Bibliographic Details
Title: Quantification and prediction of lack-of-fusion porosity in the high porosity regime during laser powder bed fusion of Ti-6Al-4V.
Authors: Promoppatum, Patcharapit1,2 (AUTHOR), Srinivasan, Raghavan3 (AUTHOR), Quek, Siu Sin1 (AUTHOR), Msolli, Sabeur1,4 (AUTHOR), Shukla, Shashwat3 (AUTHOR), Johan, Nur Syafiqah3 (AUTHOR), van der Veen, Sjoerd5 (AUTHOR), Jhon, Mark Hyunpong1 (AUTHOR) jhonmh@ihpc.a-star.edu.sg
Source: Journal of Materials Processing Technology. Feb2022, Vol. 300, pN.PAG-N.PAG. 1p.
Subjects: Titanium powder, Porosity, Powders, Finite element method, Geometric modeling
Abstract: Although lack-of-fusion porosity due to incomplete melting of powder can limit the mechanical properties of additively manufactured metals, quantification and prediction of these defects remains challenging. We compare three common strategies to measure porosity: the Archimedes, micrograph-based, and micro-computed tomography approaches. We find that while these methods work equally well at low void fraction, their predictions diverge at higher void fractions (> 5 %). We find that the disparity comes since the Archimedes method measures the total amount of solid in the sample, while micrograph-based approach neglects loose powder trapped inside the samples that can be removed during the preparation process. We conclude that these two methods make use of divergent definitions of porosity. While the Archimedes method measures a "total porosity" defined by the total volume fraction of void in the material, the micrograph method measures an "effective porosity" that only accounts for the continuous material. On the other hand, the resolution of micro-computed tomography is limited by voxel size, leading to ambiguity of trapped powder being identified as solid or void. Consequently, the number density of defects from micro-computed tomography are noticeably smaller than that from micrograph-based approach. A geometric model for porosity prediction is implemented and used to evaluate different models for melt pool geometry. Our numerical predictions of melt pool profiles are surprisingly insensitive to our choice of heat source models. Finally, an analytical geometric model is developed for fast estimation of total and effective porosities and shows good agreement with both numerical simulations and experimental measurement. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Materials Processing Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 153847423
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantification and prediction of lack-of-fusion porosity in the high porosity regime during laser powder bed fusion of Ti-6Al-4V.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Promoppatum%2C+Patcharapit%22">Promoppatum, Patcharapit</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Srinivasan%2C+Raghavan%22">Srinivasan, Raghavan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Quek%2C+Siu+Sin%22">Quek, Siu Sin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Msolli%2C+Sabeur%22">Msolli, Sabeur</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shukla%2C+Shashwat%22">Shukla, Shashwat</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Johan%2C+Nur+Syafiqah%22">Johan, Nur Syafiqah</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+der+Veen%2C+Sjoerd%22">van der Veen, Sjoerd</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jhon%2C+Mark+Hyunpong%22">Jhon, Mark Hyunpong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jhonmh@ihpc.a-star.edu.sg</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Materials+Processing+Technology%22">Journal of Materials Processing Technology</searchLink>. Feb2022, Vol. 300, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Titanium+powder%22">Titanium powder</searchLink><br /><searchLink fieldCode="DE" term="%22Porosity%22">Porosity</searchLink><br /><searchLink fieldCode="DE" term="%22Powders%22">Powders</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Geometric+modeling%22">Geometric modeling</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Although lack-of-fusion porosity due to incomplete melting of powder can limit the mechanical properties of additively manufactured metals, quantification and prediction of these defects remains challenging. We compare three common strategies to measure porosity: the Archimedes, micrograph-based, and micro-computed tomography approaches. We find that while these methods work equally well at low void fraction, their predictions diverge at higher void fractions (> 5 %). We find that the disparity comes since the Archimedes method measures the total amount of solid in the sample, while micrograph-based approach neglects loose powder trapped inside the samples that can be removed during the preparation process. We conclude that these two methods make use of divergent definitions of porosity. While the Archimedes method measures a "total porosity" defined by the total volume fraction of void in the material, the micrograph method measures an "effective porosity" that only accounts for the continuous material. On the other hand, the resolution of micro-computed tomography is limited by voxel size, leading to ambiguity of trapped powder being identified as solid or void. Consequently, the number density of defects from micro-computed tomography are noticeably smaller than that from micrograph-based approach. A geometric model for porosity prediction is implemented and used to evaluate different models for melt pool geometry. Our numerical predictions of melt pool profiles are surprisingly insensitive to our choice of heat source models. Finally, an analytical geometric model is developed for fast estimation of total and effective porosities and shows good agreement with both numerical simulations and experimental measurement. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Materials Processing Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=153847423
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jmatprotec.2021.117426
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Titanium powder
        Type: general
      – SubjectFull: Porosity
        Type: general
      – SubjectFull: Powders
        Type: general
      – SubjectFull: Finite element method
        Type: general
      – SubjectFull: Geometric modeling
        Type: general
    Titles:
      – TitleFull: Quantification and prediction of lack-of-fusion porosity in the high porosity regime during laser powder bed fusion of Ti-6Al-4V.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Promoppatum, Patcharapit
      – PersonEntity:
          Name:
            NameFull: Srinivasan, Raghavan
      – PersonEntity:
          Name:
            NameFull: Quek, Siu Sin
      – PersonEntity:
          Name:
            NameFull: Msolli, Sabeur
      – PersonEntity:
          Name:
            NameFull: Shukla, Shashwat
      – PersonEntity:
          Name:
            NameFull: Johan, Nur Syafiqah
      – PersonEntity:
          Name:
            NameFull: van der Veen, Sjoerd
      – PersonEntity:
          Name:
            NameFull: Jhon, Mark Hyunpong
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: Feb2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 09240136
          Numbering:
            – Type: volume
              Value: 300
          Titles:
            – TitleFull: Journal of Materials Processing Technology
              Type: main
ResultId 1