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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Review on Novel Methods used for the Real Time Surveilling of Metal Additive Manufacturing |
| Authors Name: | Shine George |
| Unique Id: | IJSDR2310084 |
| Published In: | Volume 8 Issue 10, October-2023 |
| 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. |
| Keywords: | Powder Bed Fusion; In-situ monitoring; Real-time monitoring; Artificial intelligence |
| Cite Article: | "Review on Novel Methods used for the Real Time Surveilling of Metal Additive Manufacturing", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 10, page no.489 - 498, October-2023, Available :http://www.ijsdr.org/papers/IJSDR2310084.pdf |
| Downloads: | 000338720 |
| Publication Details: | Published Paper ID: IJSDR2310084 Registration ID:208929 Published In: Volume 8 Issue 10, October-2023 DOI (Digital Object Identifier): Page No: 489 - 498 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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