Advancements and methodologies in directed energy deposition (DED-Arc) manufacturing: design strategies, material hybridization, process optimization and artificial intelligence
| dc.contributor.author | Uralde Jiménez, Virginia | |
| dc.contributor.author | Suárez, Alfredo | |
| dc.contributor.author | Veiga Suárez, Fernando | |
| dc.contributor.author | Villanueva Roldán, Pedro | |
| dc.contributor.author | Ballesteros Egüés, Tomás | |
| dc.contributor.department | Ingeniería | es_ES |
| dc.contributor.department | Ingeniaritza | eu |
| dc.contributor.department | Institute of Smart Cities - ISC | en |
| dc.date.accessioned | 2024-12-26T10:56:25Z | |
| dc.date.available | 2024-12-26T10:56:25Z | |
| dc.date.issued | 2024-09-27 | |
| dc.date.updated | 2024-12-26T10:51:20Z | |
| dc.description.abstract | This chapter explores the latest advancements and methodologies in directed energy deposition (DED-arc) manufacturing. The introduction sets the stage for understanding the significance of these developments in the context of modern manufacturing needs. The discussion includes design strategies for DED-arc, emphasizing topological optimization, functional design, and generative design, alongside the application of artificial intelligence (AI) in enhancing design processes. Innovative approaches to material hybridization are detailed, focusing on both multilayer and in situ techniques for combining different materials to optimize component performance. The paper also covers slicing and pathing, examining slicing strategies, the use of lattice structures, and the implementation of 2D and 3D patterns to improve manufacturing efficiency and product quality. The conclusion summarizes key findings, discusses their implications for the additive manufacturing industry, and suggests potential future research directions in DED-arc technology, highlighting the emerging trends and innovations that are shaping the field. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Uralde, V., Suárez, A., Veiga, F., Villanueva, P., Ballesteros, T. (2024). Advancements and methodologies in directed energy deposition (DED-Arc) manufacturing: Design strategies, material hybridization, process optimization and artificial intelligence. In Montealegre-Meléndez, I., Arevalo Mora, C. M., Pérez Soriano E. M. (Eds.), Additive manufacturing: Present and sustainable future, materials and applications (pp. 1-20). IntechOpen. https://doi.org/10.5772/intechopen.1006965. | |
| dc.identifier.doi | 10.5772/intechopen.1006965 | |
| dc.identifier.isbn | ISBN-7845 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/52796 | |
| dc.language.iso | eng | |
| dc.publisher | IntechOpen | |
| dc.relation.publisherversion | https://doi.org/10.5772/intechopen.1006965 | |
| dc.rights | © The Author(s). Licensee IntechOpen. This content is distributed under the terms of the Creative Commons 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Wire arc additive manufacturing (WAAM) | en |
| dc.subject | Near-net shape | en |
| dc.subject | Artificial intelligence | en |
| dc.subject | Material hybridization | en |
| dc.subject | Topological optimisation | en |
| dc.title | Advancements and methodologies in directed energy deposition (DED-Arc) manufacturing: design strategies, material hybridization, process optimization and artificial intelligence | en |
| dc.type | info:eu-repo/semantics/bookPart | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
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