Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2101.05605
Cited By
A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing
13 January 2021
Rui Liu
Sen Liu
Xiaoli Zhang
AI4CE
Re-assign community
ArXiv
PDF
HTML
Papers citing
"A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing"
5 / 5 papers shown
Title
Selecting Subsets of Source Data for Transfer Learning with Applications in Metal Additive Manufacturing
Yifan Tang
M. Rahmani Dehaghani
Pouyan Sajadi
G. G. Wang
19
12
0
16 Jan 2024
A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing
S. Tayebati
K. Cho
AI4CE
28
3
0
04 Jul 2023
Predicting Defects in Laser Powder Bed Fusion using in-situ Thermal Imaging Data and Machine Learning
Sina Malakpour Estalaki
C. Lough
R. Landers
E. Kinzel
T. Luo
AI4CE
13
34
0
16 Dec 2021
Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing
N. Jamnikar
Sen Liu
C. Brice
Xiaoli Zhang
AI4CE
23
4
0
22 Mar 2021
Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning
Francis Ogoke
A. Farimani
AI4CE
24
70
0
29 Jan 2021
1