Literature DB >> 34249618

The effects of particle size distribution on the rheological properties of the powder and the mechanical properties of additively manufactured 17-4 PH stainless steel.

Jordan S Weaver1, Justin Whiting1,2, Vipin Tondare1,3, Carlos Beauchamp4, Max Peltz1, Jared Tarr1, Thien Q Phan1, M Alkan Donmez1.   

Abstract

It is well known that changes in the starting powder can have a significant impact on the laser powder bed fusion process and subsequent part performance. Relationships between the powder particle size distribution and powder performance such as flowability and spreadability are generally known; however, links to part performance are not fully established. This study attempts to more precisely isolate the effect of particle size by using three customized batches of 17-4 PH stainless steel powders with small shifts in particle size distributions having non-intersecting cumulative size distributions, designated as Fine, Medium, and Coarse. It is found that the Fine powder has the worst overall powder performance with poor flow and raking during spreading while the Coarse powder has the best overall flow. Despite these differences in powder performance, the microstructures (i.e., porosity, grain size, phase, and crystallographic texture) of the built parts using the same process parameters are largely the same. Furthermore, the Medium powder produced parts with the highest mechanical properties (i.e., hardness and tensile strength) while the Fine and Coarse powders produced parts with effectively identical mechanical properties. Parts with good static mechanical properties can be produced from powders with a wide range of powder performance.

Entities:  

Keywords:  electron backscatter diffraction; laser powder bed fusion; martensite; precursor material qualification; tensile properties

Year:  2021        PMID: 34249618      PMCID: PMC8268792          DOI: 10.1016/j.addma.2021.101851

Source DB:  PubMed          Journal:  Addit Manuf        ISSN: 2214-7810


  7 in total

1.  EBSD image quality mapping.

Authors:  Stuart I Wright; Matthew M Nowell
Journal:  Microsc Microanal       Date:  2006-02       Impact factor: 4.127

2.  Fiji: an open-source platform for biological-image analysis.

Authors:  Johannes Schindelin; Ignacio Arganda-Carreras; Erwin Frise; Verena Kaynig; Mark Longair; Tobias Pietzsch; Stephan Preibisch; Curtis Rueden; Stephan Saalfeld; Benjamin Schmid; Jean-Yves Tinevez; Daniel James White; Volker Hartenstein; Kevin Eliceiri; Pavel Tomancak; Albert Cardona
Journal:  Nat Methods       Date:  2012-06-28       Impact factor: 28.547

3.  Influence of Powder Characteristics on Processability of AlSi12 Alloy Fabricated by Selective Laser Melting.

Authors:  Rustam Baitimerov; Pavel Lykov; Dmitry Zherebtsov; Ludmila Radionova; Alexey Shultc; Konda Gokuldoss Prashanth
Journal:  Materials (Basel)       Date:  2018-05-07       Impact factor: 3.623

4.  Mechanical Properties of Austenitic Stainless Steel Made by Additive Manufacturing.

Authors:  William E Luecke; John A Slotwinski
Journal:  J Res Natl Inst Stand Technol       Date:  2014-10-10

5.  Characterization of Metal Powders Used for Additive Manufacturing.

Authors:  J A Slotwinski; E J Garboczi; P E Stutzman; C F Ferraris; S S Watson; M A Peltz
Journal:  J Res Natl Inst Stand Technol       Date:  2014-09-16

6.  Revealing particle-scale powder spreading dynamics in powder-bed-based additive manufacturing process by high-speed x-ray imaging.

Authors:  Luis I Escano; Niranjan D Parab; Lianghua Xiong; Qilin Guo; Cang Zhao; Kamel Fezzaa; Wes Everhart; Tao Sun; Lianyi Chen
Journal:  Sci Rep       Date:  2018-10-10       Impact factor: 4.379

7.  A Comprehensive Approach to Powder Feedstock Characterization for Powder Bed Fusion Additive Manufacturing: A Case Study on AlSi7Mg.

Authors:  Jose Alberto Muñiz-Lerma; Amy Nommeots-Nomm; Kristian Edmund Waters; Mathieu Brochu
Journal:  Materials (Basel)       Date:  2018-11-27       Impact factor: 3.623

  7 in total

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