Integrating Machine Learning Model and Digital Twin System for Additive Manufacturing-Reference-Cited by-同舟云学术

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Integrating Machine Learning Model and Digital Twin System for Additive Manufacturing

Published:2023 Issue: Volume:11 Page:71113-71126
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jyeniskhan Nursultan¹^ORCID,Keutayeva Aigerim²^ORCID,Kazbek Gani³^ORCID,Ali Md Hazrat¹^ORCID,Shehab Essam¹

Affiliation:

1. Mechanical and Aerospace Engineering Department, SEDS, Nazarbayev University, Astana, Kazakhstan

2. Robotics Engineering Department, SEDS, Nazarbayev University, Astana, Kazakhstan

3. Civil and Environmental Engineering Department, SEDS, Nazarbayev University, Astana, Kazakhstan

Funder

Nazarbayev University under the Faculty Development Competitive Research Grant Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10179224.pdf?arnumber=10179224

Reference34 articles.

1. Digital Twin and Its Implementation in 3D Printing: A Research Review

2. 3D printing fault detection based on process data;li;Proc Chin Intell Syst Conf,2018

3. Automated Process Monitoring in 3D Printing Using Supervised Machine Learning

4. Digital twins: Representation, Replication, Reality, and Relational (4Rs)

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An overview of traditional and advanced methods to detect part defects in additive manufacturing processes;Journal of Intelligent Manufacturing;2024-09-02

2. Big data, machine learning, and digital twin assisted additive manufacturing: A review;Materials & Design;2024-08

3. Digital Twin Smart Water Conservancy: Status, Challenges, and Prospects;Water;2024-07-18

4. Exploring the Integration of Digital Twin and Additive Manufacturing Technologies;International Journal of Lightweight Materials and Manufacture;2024-06

5. Digital Twin Implementation in Additive Manufacturing: A Comprehensive Review;Processes;2024-05-22

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