High Cycle Fatigue Performance of LPBF 304L Stainless Steel at Nominal and Optimized Parameters.

304L stainless steel additive manufacturing fatigue test impact toughness test miniature specimen nucleation and propagation simply supported bending tensile test

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
31 Mar 2020
Historique:
received: 08 03 2020
revised: 26 03 2020
accepted: 27 03 2020
entrez: 5 4 2020
pubmed: 5 4 2020
medline: 5 4 2020
Statut: epublish

Résumé

In additive manufacturing, the variation of the fabrication process parameters influences the mechanical properties of a material such as tensile strength, impact toughness, hardness, fatigue strength, and so forth, but fatigue testing of metals fabricated with all different sets of process parameters is a very expensive and time-consuming process. Therefore, the nominal process parameters by means of minimum energy input were first identified for a dense part and then the optimized process parameters were determined based on the tensile and impact toughness test results obtained for 304L stainless steel deposited in laser powder bed fusion (LPBF) process. Later, the high cycle fatigue performance was investigated for the material built with these two sets of parameters at horizontal, vertical, and inclined orientation. In this paper, displacement controlled fully reversed (R = -1) bending type fatigue tests at different levels of displacement amplitude were performed on Krouse type miniature specimens. The test results were compared and analyzed by applying the control signal monitoring (CSM) method. The analysis shows that specimen built-in horizontal direction for optimized parameters demonstrates the highest fatigue strength while the vertical specimen built with nominal parameters exhibits the lowest strength.

Identifiants

pubmed: 32244376
pii: ma13071591
doi: 10.3390/ma13071591
pmc: PMC7177987
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Science Foundation
ID : CMMI-1625736
Organisme : Department of Energy's Kansas City National Security Campus
ID : DE-NA0002839

Références

Sci Rep. 2017 Mar 27;7:45239
pubmed: 28345599
Sci Rep. 2017 Aug 4;7(1):7308
pubmed: 28779073

Auteurs

Mohammad Masud Parvez (MM)

Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA.

Tan Pan (T)

Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA.

Yitao Chen (Y)

Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA.

Sreekar Karnati (S)

Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA.

Joseph W Newkirk (JW)

Material Science and Engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA.

Frank Liou (F)

Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA.

Classifications MeSH