| Machine learning in composites manufacturing: A case study of Automated Fiber Placement inspection C Sacco, AB Radwan, A Anderson, R Harik, E Gregory Composite Structures 250, 112514, 2020 | 133 | 2020 |
| Automated fiber placement defects: Automated inspection and characterization C Sacco, AB Radwan, R Harik, M Van Tooren SAMPE 2018 Conference and Exhibition, 2018 | 50 | 2018 |
| Machine learning based AFP inspection: A tool for characterization and integration C Sacco, AB Radwan, T Beatty, R Harik SAMPE 2019-Charlotte, NC, May 2019, 2019 | 43 | 2019 |
| Influence of process parameters in AFP fiber steering on cylinders: Constant curvature paths R Wehbe, C Sacco, AB Radwan, M Albazzan, R Harik Composites Part C: Open Access 2, 100036, 2020 | 29 | 2020 |
| Methodology to Design an Optimal Rule Based Energy Management Strategy Using Energetic Macroscopic Representation HM Basma, CJ Mansour, H Halaby, AB Radwan | 11 | 2018 |
| NDE Inspection of AFP Manufactured Cylinders Using an Intelligent Segmentation Algorithm C Sacco, AB Radwan, A Anderson, R Harik SAMPE 2020| Virtual Series, 2020 | 8 | 2020 |
| Design of optimal rule-based controller for plug-in series hybrid electric vehicle H Basma, H Halaby, AB Radwan, C Mansour 32nd International Conference on Efficiency, Cost, Optimization, Simulation …, 2019 | 6 | 2019 |
| Experimental Analysis of the Automated Fiber Placement Manufacturing Parameters for High and Low Tack Prepreg Material AB Radwan University of South Carolina, 2019 | 5 | 2019 |
| A Quanititative Evaluation of AFP Steered Courses Through Inspection C Sacco, R Wehbe, AB Radwan, M Albazzan, A Anderson, R Harik SAMPE 2020| Virtual Series, 2020 | 3 | 2020 |
Christopher SaccoRelativity SpaceBestätigte E-Mail-Adresse bei email.sc.edu
