Abstract
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: Sand casting, Artificial intelligence, casting defect
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.