Paper Title

Review on Novel Methods used for the Real Time Surveilling of Metal Additive Manufacturing

Authors

Shine George

Keywords

Powder Bed Fusion; In-situ monitoring; Real-time monitoring; Artificial intelligence

Abstract

In this article, the state of the art uses of artificial intelligence (AI) in the Powder Bed Fusion (PBF) field are discussed. PBF is a unique Additive Manufacturing(AM) technique for making critical small-sized complex geometrical parts in medical and aerospace applications from hard to process materials. Process repeatability, quality control, and minimum cost can be attained only through minimizing the in-process defects. In situ determination of the process, defects are vital in attaining high productivity as well as low cost. Lack of information about the physical phenomena happening in the depth of the material mass during the process limits its usage within a narrow spectrum of applications. A variety of AI algorithms can be seen in recent literature which will help to identify process-structure-property-performance (PSPP) relationships in AM. The performance characteristics and challenges of various AI algorithms in this regard are reviewed here.

How To Cite

"Review on Novel Methods used for the Real Time Surveilling of Metal Additive Manufacturing", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 10, page no.489 - 498, October-2023, Available :https://ijsdr.org/papers/IJSDR2310084.pdf

Issue

Volume 8 Issue 10, October-2023

Pages : 489 - 498

Other Publication Details

Paper Reg. ID: IJSDR_208929

Published Paper Id: IJSDR2310084

Downloads: 000347206

Research Area: Mechanical Engineering 

Country: Kalamassery, Kerala, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2310084

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2310084

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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