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Exploring the integration of digital twin and additive manufacturing technologies
Nursultan Jyeniskhan
, Kemel Shomenov
,
Md Hazrat Ali
,
Essam Shehab
School of Engineering and Digital Sciences
Nazarbayev University
Research output
:
Contribution to journal
›
Review article
›
peer-review
16
Citations (Scopus)
Overview
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Computer Science
Digital Twin
100%
Additive Manufacturing
100%
Digital Twin Technology
50%
Potential Benefit
33%
Machine Learning
33%
Learning System
33%
Research Direction
16%
Web of Science
16%
Implementation Challenge
16%
INIS
manufacturing
100%
additives
100%
reviews
28%
resources
28%
machine learning
28%
conferences
14%
levels
14%
implementation
14%
cutting
14%
exploration
14%
proceedings
14%
Material Science
Three Dimensional Printing
100%
Keyphrases
Manufacturing Practices
25%
Edge Growth
25%
Evolving Trend
25%
Manufacturing Type
25%