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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM25201
Volume:
7 |
8 |
Aug 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
With the objective to ensure casting quality and reduce casting rejection, this study reviews the literature on several AI techniques utilized in the metal casting industry. Artificial intelligence techniques such as decision trees, rough set theory, fuzzy logic, case-based reasoning, and various artificial neural networks The foundries have made use of networks. These tools provide machines the power to learn and make decisions. 32 research publications in all have been cited in this work and are categorized into two categories. First designing a sand mold, then reducing defects. A survey of the literature from 1989 to 2017 is conducted, and the contributions of various computational intelligence techniques are then examined.
KEYWORDS
Publication Date
8/16/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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