A review of AI for optimization of 3D printing of sustainable polymers and composites
In recent years, 3D printing has experienced significant growth in the manufacturing sector due to its ability to produce intricate and customized components. The advent of Industry 4.0 further boosted this progress by seamlessly incorporating artificial intelligence (AI) in 3D printing processes. A...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-10-01
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| Series: | Composites Part C: Open Access |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666682024000823 |
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| author | Malik Hassan Manjusri Misra Graham W. Taylor Amar K. Mohanty |
| author_facet | Malik Hassan Manjusri Misra Graham W. Taylor Amar K. Mohanty |
| author_sort | Malik Hassan |
| collection | DOAJ |
| description | In recent years, 3D printing has experienced significant growth in the manufacturing sector due to its ability to produce intricate and customized components. The advent of Industry 4.0 further boosted this progress by seamlessly incorporating artificial intelligence (AI) in 3D printing processes. As a result, design precision and production efficiency have significantly improved. Although numerous studies have explored the integration of AI and 3D printing, the literature still lacks a comprehensive overview that emphasizes material selection and formulation, predictive modeling, design optimization, and quality control. To fully understand the impacts of these emerging technologies on advanced manufacturing, a thorough assessment is required. This review aims to examine the intersection of AI and 3D printing to create a technologically advanced and environment-friendly manufacturing environment. It examines factors such as material, process efficiency, and design enhancements to highlight the benefits of combining these technologies. By focusing on predictive modeling, material selection and quality control, this analysis aims to unlock the potential for a sustainable and efficient 3D printing process. This review provided a thorough analysis of the challenges and potential benefits, proving valuable for academics and practitioners alike. It presents solutions that may establish a foundation for sustained growth and outlines a strategy for leveraging 3D printing and AI capabilities in the manufacturing sector. |
| format | Article |
| id | doaj-art-52be9584593c4c778e43e8d5189e3b45 |
| institution | Kabale University |
| issn | 2666-6820 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Composites Part C: Open Access |
| spelling | doaj-art-52be9584593c4c778e43e8d5189e3b452024-12-09T04:28:14ZengElsevierComposites Part C: Open Access2666-68202024-10-0115100513A review of AI for optimization of 3D printing of sustainable polymers and compositesMalik Hassan0Manjusri Misra1Graham W. Taylor2Amar K. Mohanty3School of Engineering, University of Guelph, Thornbrough Building, Guelph, Ontario N1G 2W1, Canada; Bioproducts Discovery and Development Centre, Department of Plant Agriculture, University of Guelph, Crop Science Building, Guelph, Ontario, N1G 2W1, CanadaSchool of Engineering, University of Guelph, Thornbrough Building, Guelph, Ontario N1G 2W1, Canada; Bioproducts Discovery and Development Centre, Department of Plant Agriculture, University of Guelph, Crop Science Building, Guelph, Ontario, N1G 2W1, Canada; Corresponding author.School of Engineering, University of Guelph, Thornbrough Building, Guelph, Ontario N1G 2W1, CanadaSchool of Engineering, University of Guelph, Thornbrough Building, Guelph, Ontario N1G 2W1, Canada; Bioproducts Discovery and Development Centre, Department of Plant Agriculture, University of Guelph, Crop Science Building, Guelph, Ontario, N1G 2W1, CanadaIn recent years, 3D printing has experienced significant growth in the manufacturing sector due to its ability to produce intricate and customized components. The advent of Industry 4.0 further boosted this progress by seamlessly incorporating artificial intelligence (AI) in 3D printing processes. As a result, design precision and production efficiency have significantly improved. Although numerous studies have explored the integration of AI and 3D printing, the literature still lacks a comprehensive overview that emphasizes material selection and formulation, predictive modeling, design optimization, and quality control. To fully understand the impacts of these emerging technologies on advanced manufacturing, a thorough assessment is required. This review aims to examine the intersection of AI and 3D printing to create a technologically advanced and environment-friendly manufacturing environment. It examines factors such as material, process efficiency, and design enhancements to highlight the benefits of combining these technologies. By focusing on predictive modeling, material selection and quality control, this analysis aims to unlock the potential for a sustainable and efficient 3D printing process. This review provided a thorough analysis of the challenges and potential benefits, proving valuable for academics and practitioners alike. It presents solutions that may establish a foundation for sustained growth and outlines a strategy for leveraging 3D printing and AI capabilities in the manufacturing sector.http://www.sciencedirect.com/science/article/pii/S26666820240008233D printingArtificial intelligenceAdvanced manufacturingSustainabilityTechnological advancements |
| spellingShingle | Malik Hassan Manjusri Misra Graham W. Taylor Amar K. Mohanty A review of AI for optimization of 3D printing of sustainable polymers and composites Composites Part C: Open Access 3D printing Artificial intelligence Advanced manufacturing Sustainability Technological advancements |
| title | A review of AI for optimization of 3D printing of sustainable polymers and composites |
| title_full | A review of AI for optimization of 3D printing of sustainable polymers and composites |
| title_fullStr | A review of AI for optimization of 3D printing of sustainable polymers and composites |
| title_full_unstemmed | A review of AI for optimization of 3D printing of sustainable polymers and composites |
| title_short | A review of AI for optimization of 3D printing of sustainable polymers and composites |
| title_sort | review of ai for optimization of 3d printing of sustainable polymers and composites |
| topic | 3D printing Artificial intelligence Advanced manufacturing Sustainability Technological advancements |
| url | http://www.sciencedirect.com/science/article/pii/S2666682024000823 |
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