A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition-Reference-Cited by-同舟云学术

A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition

Published:2023-01 Issue:1 Volume:20 Page:482-494
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Guo Shenghan¹^ORCID,Guo Weihong²^ORCID,Bian Linkan³,Guo Y. B.⁴^ORCID

Affiliation:

1. School of Manufacturing Systems and Networks, Arizona State University, Mesa, AZ, USA

2. Department of Industrial and Systems Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA

3. Department of Industrial and Systems Engineering, Mississippi State University, Starkville, MS, USA

4. Department of Mechanical and Aerospace Engineering and the New Jersey Advanced Engineering Institute, Rutgers, The State University of New Jersey, Piscataway, NJ, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/10007430/09743491.pdf?arnumber=9743491

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