{"id":20367663,"url":"https://github.com/ababaee1/deep_learning_3d_printing","last_synced_at":"2025-09-05T10:49:06.658Z","repository":{"id":260542602,"uuid":"881598744","full_name":"ababaee1/deep_learning_3D_printing","owner":"ababaee1","description":"Neural network models for predicting flexural rigidity of metal 3D printed beams using cross-sectional layer images. Multiple architectures including ANNs and CNNs with/without PCA dimensionality reduction were developed and compared.","archived":false,"fork":false,"pushed_at":"2024-10-31T23:04:11.000Z","size":15475,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-15T05:45:01.784Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ababaee1.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-10-31T22:22:18.000Z","updated_at":"2024-10-31T23:04:15.000Z","dependencies_parsed_at":"2024-10-31T23:34:03.899Z","dependency_job_id":null,"html_url":"https://github.com/ababaee1/deep_learning_3D_printing","commit_stats":null,"previous_names":["ababaee1/deep_learning_3d_printing"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ababaee1%2Fdeep_learning_3D_printing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ababaee1%2Fdeep_learning_3D_printing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ababaee1%2Fdeep_learning_3D_printing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ababaee1%2Fdeep_learning_3D_printing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ababaee1","download_url":"https://codeload.github.com/ababaee1/deep_learning_3D_printing/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241909291,"owners_count":20040782,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-15T00:33:54.968Z","updated_at":"2025-03-04T19:32:27.272Z","avatar_url":"https://github.com/ababaee1.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Using Deep Learning (CNN, ANN) for Flexural Rigidity Prediction in 3D printed Structures \n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://github.com/user-attachments/assets/03c70c79-6f06-4a76-96f9-e06d5dad3d86\" width=\"40%\" /\u003e\n  \u003cimg src=\"https://github.com/user-attachments/assets/50ad45fe-8ee4-49d4-b0e0-c04d5ea2cd5a\" width=\"42%\" /\u003e\n  \u003cimg src=\"https://github.com/user-attachments/assets/d5998544-a1a4-4399-9284-11778c3100b7\" width=\"80%\" /\u003e\n\u003c/p\u003e\n\n \n**Neural network models for predicting flexural rigidity of metal 3D printed porous gyroid beams using cross-sectional layer images. Multiple architectures including ANNs and CNNs with/without PCA dimensionality reduction were developed and compared.**\n\n## Key Features\n- ├── data/\n    - │   ├── images.zip/      # Layer image data\n  - │   └── test_data.csv/   # Bending test results\n- ├── models/          # Model implementations\n  - │   ├── ANN_PCA.ipynb\n  - │   ├── ANN_single_image.ipynb\n  - │   ├── CNN.ipynb\n  - │   └── Model.ipynb\n- └── utils/          # Data preprocessing\n  - ├── Getting_DataFrame.ipynb\n  - └── Image_combine.ipynb\n \n\n## Dependencies\n\n- Python 3.7+\n- TensorFlow 2.x \n- scikit-learn\n- numpy\n- pandas\n- matplotlib\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fababaee1%2Fdeep_learning_3d_printing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fababaee1%2Fdeep_learning_3d_printing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fababaee1%2Fdeep_learning_3d_printing/lists"}