Integrated numerical modelling and deep learning for multi-layer cube deposition planning in laser aided additive manufacturing-Reference-Cited by-同舟云学术

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Integrated numerical modelling and deep learning for multi-layer cube deposition planning in laser aided additive manufacturing

Published:2021-05-04 Issue:3 Volume:16 Page:318-332
ISSN:1745-2759
Container-title:Virtual and Physical Prototyping
language:en
Short-container-title:Virtual and Physical Prototyping

Author:

Ren K.¹^ORCID,Chew Y.¹^ORCID,Liu N.²^ORCID,Zhang Y. F.³,Fuh J. Y. H.³^ORCID,Bi G. J.¹^ORCID

Affiliation:

1. Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research, Singapore

2. Advanced Remanufacturing and Technology Centre, Agency for Science, Technology and Research, Singapore

3. Department of Mechanical Engineering, National University of Singapore, Singapore

Funder

Agency for Science, Technology and Research (A*Star), Republic of Singapore

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Modeling and Simulation,Signal Processing

Link

https://www.tandfonline.com/doi/pdf/10.1080/17452759.2021.1922714

Reference40 articles.

1. Application of Machine Learning in 3D Bioprinting: Focus on Development of Big Data and Digital Twin

2. Statistical analysis and optimization of direct metal laser deposition of 227-F Colmonoy nickel alloy

3. Statistical Mechanics of Deep Learning

4. Investigation on the direct laser metallic powder deposition process via temperature measurement

5. Study on influential factors for process monitoring and control in laser aided additive manufacturing

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4. The Temperature Field Prediction and Estimation of Ti-Al Alloy Twin-Wire Plasma Arc Additive Manufacturing Using a One-Dimensional Convolution Neural Network;Applied Sciences;2024-01-12

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