Malik, Asif, Rajaguru, Pushparajah ORCID: https://orcid.org/0000-0002-6041-0517 and Azzawi, Rula (2022) Smart manufacturing with Artificial Intelligence and digital twin: a brief review. In: 8th International Conference on Information Technology Trends, 25th - 26th May 2022, Dubai, UAE.

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Abstract

Digital twin and artificial intelligence technologies have proliferated as crucial enablers for Industry 4.0. With a digital twin, companies can digitally test and validate a product before it exists in the real world. By digitally recreating the planned production process for real-world use, engineers can identify any potential process changes before they happen. This brief survey summarizes their general developments and the current state of AI integration in smart manufacturing and advanced robotics. This survey also covers industrial automation and emerging techniques, such as 3D printing.

Item Type:	Conference or Conference Paper (Paper)
Uncontrolled Keywords:	Artificial Intelligence; machine learning; neural nets; digital twin; smart manufacturing; robotics; sustainability
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Mechanics & Reliability Group (CMRG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Related URLs:	https://hct.ac.ae/en/events/8th-internat...
Last Modified:	23 Jun 2022 13:37
URI:	http://gala.gre.ac.uk/id/eprint/36759

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