journal article·2025-04-21Open access

Determining Optimal Processing Conditions for Fabricating Industrial Moulds with Additive Manufacturing

Daniel Moreno Nieto, Francisco Javier Puertas Morales, Julia Rivera Vera, Pedro Burgos Pintos, Daniel Moreno Sanchez, Sergio I. Molina

Applied Sciences· Volume 15· Issue 8

Abstract

Additive manufacturing has reached a level of reliability and credibility that has already been integrated into specific industries producing final parts or tooling. Among Material Extrusion (ME) techniques, the Fused Granular Fabrication (FGF) method has enabled the development of Large Format Additive Manufacturing (LFAM) using polymeric materials, which has also established its presence in industries working with large prototypes, molds, and tools. This cost-efficient process has proven its applicability and success in manufacturing molds for composites, particularly in short and medium production runs, significantly reducing production times and costs. This paper presents two experiments designed to optimize process parameters when producing molds using the combined FGF and milling approach. These experiments identified optimal extrusion temperatures and extrusion multipliers to minimize defects at both the macro- and microscales for ASA 20 wt.% carbon fiber (CF) material; additionally, a correlation between milling speed, milling strategy, and surface roughness was established. These findings are valuable for industries adopting this innovative production method, as they provide guidance for defining process parameters to achieve the desired surface roughness of a specific part. A case study of the design of an automobile carter mold is presented, concluding that a specific range of milling speeds is required for conventional or climbing milling strategies to achieve a defined surface roughness range.
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Research context

OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Manufacturing Process and Optimization · Engineering Technology and Methodologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Departamento de Ingeniería Mecánica y Diseño Industrial, Escuela Superior de Ingeniería, IMEYMAT, Universidad de Cádiz, Campus Río San Pedro, Puerto Real, 11510 Cadiz, Spain

Departamento de Ingeniería Mecánica y Diseño Industrial, Escuela Superior de Ingeniería, Universidad de Cádiz, Campus Río San Pedro, Puerto Real, 11510 Cadiz, Spain

Departamento de Ciencias de los Materiales e Ingeniería Metalúrgica y Química Inorgánica, IMEYMAT, Universidad de Cádiz, Campus Río San Pedro, Puerto Real, 11510 Cadiz, Spain

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