DOAJ Open Access 2025

Upcycling of Copper Scrap into High-Quality Powder for Additive Manufacturing: Processing, Characterization, and Sustainability Assessment

Mattia Cabrioli María Silva Colmenero Sepideh Gholamzadeh Matteo Vanazzi Sasan Amirabdollahian +3 lainnya

Abstrak

Copper is a critical material for energy transition and green technologies, making its sustainable use increasingly important. Its superior thermal and electrical conductivity make it highly well-suited for additive manufacturing (AM). In this study, copper sourced from offshore electrical cables was upcycled to produce high-quality metal powder for AM. The scrap was processed to separate the metal from plastic and rubber, then refined through ultrasonic atomization, achieving a purity of ~99.5% wt.% with minimal impurities. Characterization demonstrated good flowability, apparent and tap densities, and a well-distributed particle size. To assess its performance in AM, the powder was printed using Directed Energy Deposition (DED) with a laser beam, confirming its high printability and compatibility with the base material. Finally, a comparative Life Cycle Assessment (LCA) revealed a significant environmental advantage of the recycling-based process over conventional mining, reducing global warming potential by more than 70%. These findings highlight the importance of feedstock origin in AM sustainability and support the adoption of circular economy strategies to lower the environmental footprint of advanced manufacturing.

Penulis (8)

M

Mattia Cabrioli

M

María Silva Colmenero

S

Sepideh Gholamzadeh

M

Matteo Vanazzi

S

Sasan Amirabdollahian

M

Matteo Perini

W

Wojciech Łacisz

B

Bartosz Kalicki

Format Sitasi

Cabrioli, M., Colmenero, M.S., Gholamzadeh, S., Vanazzi, M., Amirabdollahian, S., Perini, M. et al. (2025). Upcycling of Copper Scrap into High-Quality Powder for Additive Manufacturing: Processing, Characterization, and Sustainability Assessment. https://doi.org/10.3390/jmmp9090320

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Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.3390/jmmp9090320
Akses
Open Access ✓