Resumen
Additive manufacturing has experienced a remarkable growth in recent years thanks, among other things, to the wide range of technologies, materials and equipment that can be used. Given the complexity of selecting a technology and considering as a starting hypothesis that there is no universally applicable technology that is optimal for all materials, sizes and shapes, a method based on multi-criteria selection has been developed that aims to select the best alternative for the additive manufacturing of metal parts. Using the analytical hierarchical process (AHP), different technologies (alternatives) have been analysed and compared and the criteria (those characteristics and/or attributes that identify each alternative) have been defined. The importance of each criterion analysed in the hierarchy matrix was determined based on expert surveys. The innovation of this work is that a pre-selection criterion excluding alternatives has been considered in order to select the optimum technology oriented to the specific application, being able to define the part in more detail in terms of shape, material and size. Finally, the application of the AHP method identifies the highest scoring alternatives, providing a useful selection tool for users.
| Título traducido de la contribución | DEVELOPMENT OF A METHOD FOR SELECTING THE OPTIMAL TECHNOLOGY IN ADDITIVE METAL MANUFACTURING USING AN ANALYTICAL HIERARCHICAL PROCESS (AHP) |
|---|---|
| Idioma original | Español |
| Título de la publicación alojada | 27th International Congress on Project Management and Engineering (Donostia-San Sebastian), CIDIP 2023 - 27th Congreso Internacional de Direccion e Ingenieria de Proyectos (Donostia-San Sebastian), CIDIP 2023 - Proceedings |
| Editorial | Asociacion Espanola de Direccion e Ingenieria de Proyectos (AEIPRO) |
| Páginas | 559-572 |
| Número de páginas | 14 |
| ISBN (versión digital) | 9788409554669 |
| Estado | Publicada - 2023 |
| Publicado de forma externa | Sí |
| Evento | 27th International Congress on Project Management and Engineering (Donostia-San Sebastian), CIDIP 2023 - Hybrid, Donostia-San Sebastian, Espana Duración: 10 jul 2023 → 13 jul 2023 |
Serie de la publicación
| Nombre | Proceedings from the International Congress on Project Management and Engineering |
|---|---|
| ISSN (versión digital) | 2695-5067 |
Conferencia
| Conferencia | 27th International Congress on Project Management and Engineering (Donostia-San Sebastian), CIDIP 2023 |
|---|---|
| País/Territorio | Espana |
| Ciudad | Hybrid, Donostia-San Sebastian |
| Período | 10/07/23 → 13/07/23 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 9: Industria, innovación e infraestructura
Palabras clave
- 3D Printing
- AHP
- Analytic Hierarchy Process
- Metal Additive Manufacturing
- Multi-criteria decision-making
Huella
Profundice en los temas de investigación de 'DESARROLLO DE UN MÉTODO PARA SELECCIONAR LA TECNOLOGÍA ÓPTIMA EN FABRICACIÓN ADITIVA DE METALES MEDIANTE UN PROCESO ANALÍTICO JERÁRQUICO (AHP)'. En conjunto forman una huella única.Conjuntos de datos
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Method for selecting the optimal technology in metal additive manufacturing using an analytical hierarchical process
Uralde, V. (Colaborador), Veiga, F. (Creador), Suárez, A. (Colaborador) & Ballesteros, T. (Colaborador), Mendeley Data, 27 feb 2024
DOI: 10.17632/wbsd9v2ztz.1, https://data.mendeley.com/datasets/wbsd9v2ztz
Dataset: Conjunto de datos
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