Model-based deep learning for additive manufacturing: New frontiers and applications S Ghungrad, B Gould, M Soltanalian, SJ Wolff, A Haghighi Manufacturing Letters 29, 94-98, 2021 | 5 | 2021 |
Energy-efficient and quality-aware part placement in robotic additive manufacturing S Ghungrad, A Mohammed, A Haghighi Journal of Manufacturing Systems 68, 644-650, 2023 | 3 | 2023 |
Physics-informed artificial intelligence for temperature prediction in metal additive manufacturing: a comparative study S Ghungrad, B Gould, S Wolff, A Haghighi International Manufacturing Science and Engineering Conference 85802 …, 2022 | 3 | 2022 |
Three-dimensional spatial energy-quality map construction for optimal robot placement in multi-robot additive manufacturing S Ghungrad, A Haghighi Robotics and Computer-Integrated Manufacturing 88, 102735, 2024 | 2 | 2024 |
Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data S Ghungrad, M Faegh, B Gould, SJ Wolff, A Haghighi Journal of Manufacturing Science and Engineering 145 (8), 081007, 2023 | 2 | 2023 |
Study on Dry Reforming Reaction of Compressed Biogas for Syngas Production: Effect of Pressure variation VP Rathod, PV Bhale, G Suyog | | |