Sustainable Additive Manufacturing of IN718 Blades: Powder Recycling Strategies for Reduced Carbon Footprint

With the growing demand for aero-engine turbine blades, the resource consumption and environmental impact of superalloy powder in the manufacturing process have become increasingly significant. This study focuses on IN718 nickel-based superalloy powder and establishes a recycling method based on powder mixing. By mixing sieved recycled powder with new powder at a 1:1 mass ratio, comprehensive characterization tests, including powder morphology analysis, particle size distribution, blade printability evaluation, mechanical property tests (tensile strength at both 25 °C and 650 °C), and microhardness measurements, demonstrated that the blended powder maintained performance characteristics comparable to new powder, with no statistically significant differences observed. Furthermore, this study introduces the life cycle assessment (LCA) methodology into the field of superalloy powder recycling, providing a novel technical approach for sustainable development in aerospace manufacturing. A quantitative analysis of environmental impacts throughout the blended powder recycling process indicates that this method can reduce carbon emissions by 45% and energy consumption by 48%.

Authors

Institutions

Publication Details

Journal
Materials
Published
2025-03-18
DOI
https://doi.org/10.3390/ma18061344
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable Additive Manufacturing of IN718 Blades: Powder Recycling Strategies for Reduced Carbon Footprint

Xunchen Liu, Yuan Fang, Mingzhang Chen, Yilun Wang et al.
Materials
Additive Manufacturing and 3D Printing Technologies
article

Sustainable Additive Manufacturing of IN718 Blades: Powder Recycling Strategies for Reduced Carbon Footprint

Xunchen Liu, Yuan Fang, Mingzhang Chen, Yilun Wang, Tengyuan Fang, Wenxuan Wang, Meng Yang, Bo Huang, Zhiheng Hu, Lin Hua
article en

Abstract

With the growing demand for aero-engine turbine blades, the resource consumption and environmental impact of superalloy powder in the manufacturing process have become increasingly significant. This study focuses on IN718 nickel-based superalloy powder and establishes a recycling method based on powder mixing. By mixing sieved recycled powder with new powder at a 1:1 mass ratio, comprehensive characterization tests, including powder morphology analysis, particle size distribution, blade printability evaluation, mechanical property tests (tensile strength at both 25 °C and 650 °C), and microhardness measurements, demonstrated that the blended powder maintained performance characteristics comparable to new powder, with no statistically significant differences observed. Furthermore, this study introduces the life cycle assessment (LCA) methodology into the field of superalloy powder recycling, providing a novel technical approach for sustainable development in aerospace manufacturing. A quantitative analysis of environmental impacts throughout the blended powder recycling process indicates that this method can reduce carbon emissions by 45% and energy consumption by 48%.

MaterialsVol. 18(6)
South Central Minzu University (CN), Wuhan University of Technology (CN), Wuhan Institute of Technology (CN)
Natural Science Foundation of Hubei Province, Higher Education Discipline Innovation Project, National Key Research and Development Program of China
Responsible consumption and production
Openalex Percentile: Top 96%
Additive Manufacturing and 3D Printing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.