Dataset for: An Open-Source Framework for In-Process Geometric Quality Assurance in Automated Fiber Placement
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Authors: Diogo Cardoso, António Ramos Silva, Nuno CorreiaPublication DOI: [ ]Dataset DOI: 10.5281/zenodo.17048470Description:This archive contains the complete raw dataset associated with the manuscript"An Open-Source Framework for In-Process Geometric Quality Assurance in Automated Fiber Placement: A Baseline Validation and Dataset."The data consists of timestamped CSV files from the robot controller and a laser line scanner, captured during the manufacturing of a [0/90] cross-ply composite laminate.The Python source code required to process and analyze this raw data is available in the project's GitHub repository:https://github.com/cardoso-diogo/afp-in-process-inspection=====================================================================How to Cite:If you use this dataset, please cite both the original paper and this dataset archive.Paper Citation:Diogo Cardoso, et al. (2025). "An Open-Source Framework...".Dataset Citation:Diogo Cardoso, et al. (2025). "Raw Dataset for: An Open-Source Framework...". Zenodo. 10.5281/zenodo.17048470=====================================================================Cardoso_etal_2025_AFP_Raw_Dataset/PART-001-DEMO_.../ - Data for a single session├── Layer_01/│ ├── Pass_01/│ │ ├── robot_path_data_...csv│ │ ├── laser_scan_x_coordinates_...csv│ │ └── laser_scan_z_profiles_...csv│ ├── Pass_02/│ │ ├── robot_path_data_...csv│ │ ├── laser_scan_x_coordinates_...csv│ │ └── laser_scan_z_profiles_...csv│ └── Pass_03/│ ├── robot_path_data_...csv│ ├── laser_scan_x_coordinates_...csv│ └── laser_scan_z_profiles_...csv└── Layer_02/├── Pass_01/│ ├── robot_path_data_...csv│ ├── laser_scan_x_coordinates_...csv│ └── laser_scan_z_profiles_...csv├── Pass_02/│ ├── robot_path_data_...csv│ ├── laser_scan_x_coordinates_...csv│ └── laser_scan_z_profiles_...csv└── Pass_03/├── robot_path_data_...csv├── laser_scan_x_coordinates_...csv└── laser_scan_z_profiles_...csv └── README.md
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Publication Details
Subfield
Artificial Intelligence
Field
Computer Science
Domain
Physical Sciences
Confidence Score
64%
Source
Open Alex