Research interests Metal Additive Manufacturing Real-time process monitoring Process-structure-property-performance (PSPP) linkages Materials informatics Machine learning, image processing, and signal processing My research is primarily concentrated on the real-time monitoring of Laser Powder Bed Fusion (L-PBF) additive manufacturing process, utilizing an extensive variety of sensing approaches to detect defects and expedite the qualification of manufactured parts. I am also interested in the development of physics-informed, data-driven PSPP models that leverage the synergistic fusion of physical principles and machine learning for advancements in predictive capabilities and the overall efficiency of manufacturing processes.

Ph.D. Mechanical Engineering, Georgia Institute of Technology, 2020

M.Sc., Mechanical Engineering, Georgia Institute of Technology, 2015,

M.Sc., Materials Science, University of Tehran, 2013

B.S., Materials Science, University of Tehran, 2009

Selected publications

1. S. Gorgannejad, A. A. Martin, J. W. Nicolino, M. Strantza, G. M. Guss, S. Khairallah, J.B.Forien, V. Thampy, S. Liu, P. Quan, C. J. Tassone, and N. P. Calta, "Localized Keyhole Pore Prediction during Laser Powder Bed Fusion via Multimodal Process Monitoring and X-ray Radiography", Additive Manufacturing, 78 (2023) 103810.
2. S. Gorgannejad, A. Martin, J. Wang, J. Forien, M. Strantza, P. Quan, S. Liu, V. Thampy, C. Tassone, and N. Calta, "Understanding Subsurface Behavior during Metal Laser Drilling Process via in-situ Synchrotron X-ray Imaging" in CLEO 2023, Technical Digest Series (Optica Publishing Group, 2023), paper AM4R.2.
3. A. Martin; J. Wang; P. J. DePond; M. Strantza; J. B.  Forien; S. Gorgannejad; G. M. Guss; V. Thampy; A. Y. Fong; J. N. Weker, K. H. Stone, Christopher J. Tassone, M.J. Matthews, N.P. Calta, A laser powder bed fusion system for operando synchrotron x-ray imaging and correlative diagnostic experiments at the Stanford Synchrotron Radiation Light source, Review of Scientific Instrument, 2022.
4. S. Gorgannejad, E.A. Estrada Rodas, R.W. Neu, Employing sequential experiments to gain insights on the interaction between creep and fatigue damage in Ni-base superalloys, Fatigue and Fracture of Engineering Materials and Structures, 2022.
5. R.W. Neu, A.N. Caputo, S. Gorgannejad, A.E. Albela, M.N. Carpenter, C. Zhang, A. H. Tanna, B. peloke, M. Defay, J.G. Collins, J.C. Sobotka, C. F. Popelar, J.H. Macha, S.B. Coogan, Evaluation of HCF strength of Alloy 625 with Non-optimum additive manufacturing process parameters, International Journal of Fatigue, 2022.
6. S. Gorgannejad, M.R. Gahrooei, K. Paynabar, R.W. Neu, Quantitative prediction of the aged state of Ni-base superalloys using PCS and tensor regression, Acta Materialia, 2019.
7. E.A. Estrada Rodas, S. Gorgannejad, R.W. Neu, Creep-fatigue behavior of single-crystal ni-base superalloy CMSX-8, Fatigue and Fracture of Engineering Materials and Structures, 2019.
8. S. Gorgannejad, E.A. Estrade Rodas, R.W. Neu, Aging Kinetics of Ni-base Superalloys, Materials at High Temperature, 2016.

 

https://orcid.org/my-orcid?orcid=0000-0002-4508-7256