Energy-driven decision support tool for friction stir additive manufacturing operations

Friction Stir Additive Manufacturing (FSAM) allows the production of components by stacking and joining sheets via friction stir welding. FSAM's energy efficiency depends on the number of passes needed to achieve a specified build width. This study introduces a single-pass, pinless FSAM method for producing AA5754-H22 components. Mechanical tests showed performance comparable to traditional FSAM, with bonding efficiency between 91 % and 94 % of the base material. Energy evaluations for two industrial scenarios revealed that a pinless approach should be preferred over FSAM when a single-thickness approach is used with sheets of thicknesses lower than 4 mm. When a sheet thickness of 5 mm is considered, lower electrical energy consumption is obtained for build heights of 11 mm and higher. In a multi-thickness approach, the proposed approach is energetically effective with build height lower than 16 mm. Life Cycle Assessment (LCA) examined the environmental impact, including material considerations. The single-thickness pinless method (4 mm, 5 mm, and 1 mm cases) was analyzed using Cumulative Energy Demand (CED). For heights up to 18 mm, the pinless approach minimized or matched CED. However, for heights that are multiples of 5 mm, traditional FSAM showed advantages. At 17 mm, energy savings of 16 % and 9 % were achieved for 4 mm and 5 mm cases, respectively. In terms of Global Warming Potential, the pinless approach matched the single-thickness 4 mm case with an impact of 7.704 kgCO 2 ,eq. Overall, the pinless method is preferable for most target heights.

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Publication Details

Journal
Journal of Cleaner Production
Published
2025-04-27
DOI
https://doi.org/10.1016/j.jclepro.2025.145601
Citations
2
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
1.37
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article

Energy-driven decision support tool for friction stir additive manufacturing operations

Gianluca Buffa, Livan Fratini, Giuseppe Ingarao, Davide Campanella et al.
2 citations
Journal of Cleaner Production
Additive Manufacturing and 3D Printing Technologies
1.37
article

Energy-driven decision support tool for friction stir additive manufacturing operations

Gianluca Buffa, Livan Fratini, Giuseppe Ingarao, Davide Campanella, Simone Amantia
article en
2 citations

Abstract

Friction Stir Additive Manufacturing (FSAM) allows the production of components by stacking and joining sheets via friction stir welding. FSAM's energy efficiency depends on the number of passes needed to achieve a specified build width. This study introduces a single-pass, pinless FSAM method for producing AA5754-H22 components. Mechanical tests showed performance comparable to traditional FSAM, with bonding efficiency between 91 % and 94 % of the base material. Energy evaluations for two industrial scenarios revealed that a pinless approach should be preferred over FSAM when a single-thickness approach is used with sheets of thicknesses lower than 4 mm. When a sheet thickness of 5 mm is considered, lower electrical energy consumption is obtained for build heights of 11 mm and higher. In a multi-thickness approach, the proposed approach is energetically effective with build height lower than 16 mm. Life Cycle Assessment (LCA) examined the environmental impact, including material considerations. The single-thickness pinless method (4 mm, 5 mm, and 1 mm cases) was analyzed using Cumulative Energy Demand (CED). For heights up to 18 mm, the pinless approach minimized or matched CED. However, for heights that are multiples of 5 mm, traditional FSAM showed advantages. At 17 mm, energy savings of 16 % and 9 % were achieved for 4 mm and 5 mm cases, respectively. In terms of Global Warming Potential, the pinless approach matched the single-thickness 4 mm case with an impact of 7.704 kgCO 2 ,eq. Overall, the pinless method is preferable for most target heights.

Journal of Cleaner ProductionVol. 509
University of Palermo (IT)
Openalex Percentile: Top 20%
Additive Manufacturing and 3D Printing Technologies
1.37
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Energy-driven decision support tool for friction stir additive manufacturing operations — Gianluca Buffa, Livan Fratini, et al. · Journal of Cleaner Production (2025) | TGRS Research Map | TGRS