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Automated MOLDAM Robotic System for 3D Printing: Manufacturing Aeronautical Mould Preforms

  • ARITEX CADING,S.A.
  • Basque Research and Technology Alliance (BRTA)
  • INTERNACIONAL DE COMPOSITES SA

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Additive manufacturing by extrusion of thermoplastic materials is becoming a promising technology due to the flexibility for generating parts of various sizes with complicated geometries, reducing lead time. Specifically, the additive manufacturing of thermoplastics in pellet format allows material deposition rates of tens of kg/h, being able to generate thermoplastic pre-molds in a reasonable time that can help improve profitability compared to the manufacture of metal moulds, contributing to material saving. Under this approach, a new automated robotic cell has been developed to manufacture pre-moulds for the aeronautical sector integrating a Fanuc M900iB/700 robot and a high feed rate pellet extruder. Along the project, the printed material has been selected and characterized under certain conditions, taking into account the requirements of the most demanding applications. On the other hand, the behaviour of the designed parts under working con-ditions has been simulated. Finally, the implementation of the robotic system has allowed the preliminary characterization of the pre-mould geometrical performance under the customer’s requirements. This article presents the manufacturing results of one use case using a new automated robotic system for 3D printing including future challenges.

Idioma originalInglés
Título de la publicación alojadaProceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application
EditoresMarcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas429-447
Número de páginas19
ISBN (versión impresa)9783031709807
DOI
EstadoPublicada - 2024
EventoInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 - Ambato, Ecuador
Duración: 6 nov 202310 nov 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen797 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
País/TerritorioEcuador
CiudadAmbato
Período6/11/2310/11/23

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 9: Industria, innovación e infraestructura
    ODS 9: Industria, innovación e infraestructura

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