Effect of Cryogenic Grinding on Fatigue Life of Additively Manufactured Maraging Steel.

additive manufacturing cryogenic grinding fatigue maraging steel microhardness residual stress surface roughness

Journal

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

Informations de publication

Date de publication:
05 Mar 2021
Historique:
received: 17 02 2021
revised: 02 03 2021
accepted: 02 03 2021
entrez: 3 4 2021
pubmed: 4 4 2021
medline: 4 4 2021
Statut: epublish

Résumé

Additive manufacturing (AM) is replacing conventional manufacturing techniques due to its ability to manufacture complex structures with near-net shape and reduced material wastage. However, the poor surface integrity of the AM parts deteriorates the service life of the components. The AM parts should be subjected to post-processing treatment for improving surface integrity and fatigue life. In this research, maraging steel is printed using direct metal laser sintering (DMLS) process and the influence of grinding on the fatigue life of this additively manufactured material was investigated. For this purpose, the grinding experiments were performed under two different grinding environments such as dry and cryogenic conditions using a cubic boron nitride (CBN) grinding wheel. The results revealed that surface roughness could be reduced by about 87% under cryogenic condition over dry grinding. The fatigue tests carried out on the additive manufactured materials exposed a substantial increase of about 170% in their fatigue life when subjected to cryogenic grinding.

Identifiants

pubmed: 33807985
pii: ma14051245
doi: 10.3390/ma14051245
pmc: PMC7961498
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

J Adv Res. 2016 Sep;7(5):709-18
pubmed: 27621941
Materials (Basel). 2018 Nov 13;11(11):
pubmed: 30428621

Auteurs

Arunachalam S S Balan (ASS)

Department of Mechanical Engineering, National Institute of Technology Karnataka, Mangaluru 575025, India.

Kannan Chidambaram (K)

Department of Automotive Engineering, School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India.

Arun V Kumar (AV)

Department of Manufacturing Engineering, School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India.

Hariharan Krishnaswamy (H)

Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600025, India.

Danil Yurievich Pimenov (DY)

Department of Automated Mechanical Engineering, South Ural State University, Lenin Prosp.76, 454080 Chelyabinsk, Russia.

Khaled Giasin (K)

School of Mechanical and Design Engineering, University of Portsmouth, Portsmouth PO1 3DJ, UK.

Krzysztof Nadolny (K)

Department of Production Engineering, Faculty of Mechanical Engineering, Koszalin University of Technology, Raclawicka 15-17, 75-620 Koszalin, Poland.

Classifications MeSH