Life Cycle Assessment of Metal Part Repair Using Directed Energy Deposition : A Comparison Between Arc- and Laser-Based Methods
Hörkkö, Jaakko (2025-06-04)
Life Cycle Assessment of Metal Part Repair Using Directed Energy Deposition : A Comparison Between Arc- and Laser-Based Methods
Hörkkö, Jaakko
(04.06.2025)
Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.
avoin
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2025061065137
https://urn.fi/URN:NBN:fi-fe2025061065137
Tiivistelmä
This bachelor’s thesis investigates the environmental performance of metal part repair using Directed Energy Deposition (DED), focusing on a comparison between arc-based (DED-Arc) and laser-based (DED-LB) methods. The analysis is based on a process-phase life cycle assessment (LCA), using energy consumption, material efficiency, and shielding gas use as key indicators. A real-world case involving the DED-LB repair of a hydraulic cylinder rod is used as a reference, with the DED-Arc scenario modeled using literature-based data under comparable conditions. The thesis also outlines the main process steps involved in DED-based repair, including surface preparation, material deposition, and post-processing, providing technical context for the environmental assessment. The findings indicate that the laser-based method resulted in significantly lower energy consumption and material losses compared to the arc-based alternative, primarily due to reduced overbuild and post-processing requirements. However, DED-LB also required substantially more shielding gas. The study highlights that environmental advantages depend strongly on part geometry, deposition volume, and process planning. While DED-LB demonstrated higher resource efficiency in the case studied, the results are not universally generalizable. The thesis underscores the importance of context-specific process selection in sustainable repair operations and encourages the integration of simplified LCA tools into industrial decision-making, while also recognizing their inherent limitations.