Follow
Mostafa Rahmani Dehaghani
Mostafa Rahmani Dehaghani
Ph.D. Candidate, Simon Fraser University
Verified email at sfu.ca
Title
Cited by
Cited by
Year
Review of transfer learning in modeling additive manufacturing processes
Y Tang, MR Dehaghani, GG Wang
Additive Manufacturing 61, 103357, 2023
332023
Effects of auxetic shoe on lumbar spine kinematics and kinetics during gait and drop vertical jump by a combined in vivo and modeling investigation
MR Dehaghani, A Nourani, N Arjmand
Scientific Reports 12 (1), 18326, 2022
82022
Selecting subsets of source data for transfer learning with applications in metal additive manufacturing
Y Tang, M Rahmani Dehaghani, P Sajadi, GG Wang
Journal of Intelligent Manufacturing, 1-22, 2024
42024
Iterative uncertainty calibration for modeling metal additive manufacturing processes using statistical moment-based metric
M Rahmani Dehaghani, Y Tang, G Gary Wang
Journal of Mechanical Design 145 (1), 012001, 2023
42023
System identification and closed-loop control of laser hot-wire directed energy deposition using the parameter-signature-quality modeling scheme
MR Dehaghani, A Sahraeidolatkhaneh, M Nilsen, F Sikström, P Sajadi, ...
Journal of Manufacturing Processes 112, 1-13, 2024
32024
Modeling and optimization of height-related geometrical parameters for thin wall structures manufactured by metal additive manufacturing
MR Dehaghani, Y Tang, S Panicker, D Wu, E Coatanea, GG Wang
The International Journal of Advanced Manufacturing Technology 129 (9), 4663 ¡K, 2023
32023
Online thermal field prediction for metal additive manufacturing of thin walls
Y Tang, MR Dehaghani, P Sajadi, SB Balani, A Dhalpe, S Panicker, D Wu, ...
Journal of Manufacturing Processes 108, 529-550, 2023
22023
Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks
P Sajadi, MR Dehaghani, Y Tang, GG Wang
arXiv preprint arXiv:2401.02403, 2024
12024
Defining and Modeling of Height-Related Geometrical Parameters for Thin Wall Structures Manufactured by Metal Additive Manufacturing
M Rahmani Dehaghani, Y Tang, S Panicker, D Wu, E Coatanea, ...
International Design Engineering Technical Conferences and Computers and ¡K, 2023
12023
Comparison of Transfer Learning based Additive Manufacturing Models via A Case Study
Y Tang, MR Dehaghani, GG Wang
arXiv preprint arXiv:2305.11181, 2023
12023
Review of Transfer Learning in Additive Manufacturing Modeling
Y Tang, MR Dehaghani, GG Wang
International Design Engineering Technical Conferences and Computers and ¡K, 2022
12022
Physics-Informed Online Learning for Temperature Prediction in Metal AM
P Sajadi, M Rahmani Dehaghani, Y Tang, GG Wang
Materials 17 (13), 3306, 2024
2024
A Systematic Online Update Method for Reduced-Order-Model-Based Digital Twin
Y Tang, P Sajadi, MR Dehaghani, GG Wang
2024
Online Two-stage Thermal History Prediction Method for Metal Additive Manufacturing of Thin Walls
Y Tang, M Rahmani Dehaghani, P Sajadi, S Bakrani Balani, A Dhalpe, ...
arXiv e-prints, arXiv: 2310.16125, 2023
2023
Layer-to-Layer Thermal History Prediction for Thin Walls in Metal Additive Manufacturing
Y Tang, S Bakrani Balani, A Dhalpe, M Rahmani Dehaghani, S Panicker, ...
International Design Engineering Technical Conferences and Computers and ¡K, 2023
2023
Comparison of experimental results between using auxetic shoe, conventional shoe and barefoot on the kinematics of vertebral column during drop vertical jump
M Rahmani Dehagh, A Nourani, N Arjmand, F Farahi Ghehi
Sharif Journal of Mechanical Engineering 39 (1), 89-98, 2023
2023
Proscenium width adjustment mechanism
MA Soleimani, A Sohbatloo, AM Soufi Enayati, S Hashemi, ...
WO Patent WO/2023/067,395, 2023
2023
Iterative Uncertainty Calibration for Modeling Metal Additive Manufacturing Processes Using Statistical Moment-Based Metric
M Rahmani Dehaghani, Y Tang, GG Wang
International Design Engineering Technical Conferences & Computers and ¡K, 2022
2022
Real-Time Two-Dimensional Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks
P Sajadi, M Rahmani Dehaghani, Y Tang, GG Wang
Available at SSRN 4716295, 0
The system can't perform the operation now. Try again later.
Articles 1–19