Comparative Life Cycle Assessment of Swarf Cleaning Methods for Sustainable Manufacturing

The metal manufacturing industry faces significant environmental challenges due to high energy consumption and waste production. This study critically analyzes two advanced swarf cleaning methods including supercritical CO2 cleaning and Cryoclean to evaluate their environmental impacts. Using Life Cycle Assessment (LCA), the research compares these methods to determine their effectiveness in reducing CO2 emissions and overall environmental impact. The results reveal that Cryoclean is the preferred method, slightly outperforming supercritical CO2 cleaning in minimizing carbon emissions and ecosystem damage. This makes Cryoclean the more sustainable option for most industrial applications requiring effective, residue-free cleaning. Specifically, Cryoclean reduced CO2 emissions by approximately 5% compared to supercritical CO2 cleaning. The study also highlights the energy and resource efficiency of these methods, emphasizing their role in promoting sustainable manufacturing practices. By providing a detailed comparison of these cleaning processes, the study offers valuable insights into optimizing swarf recycling, thereby supporting the global shift towards more sustainable industrial practices. This research underscores the importance of adopting efficient swarf cleaning technologies to enhance the sustainability of metal manufacturing and meet environmental targets.

Authors

Institutions

Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.02.240
Citations
2
Primary Topic
Injection Molding Process and Properties
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Life Cycle Assessment of Swarf Cleaning Methods for Sustainable Manufacturing

Emanuele Pagone, Konstantinos Salonitis, Georgios Karadimas
2 citations
Procedia CIRP
Injection Molding Process and Properties
1.43
article

Comparative Life Cycle Assessment of Swarf Cleaning Methods for Sustainable Manufacturing

Emanuele Pagone, Konstantinos Salonitis, Georgios Karadimas
article en
2 citations

Abstract

The metal manufacturing industry faces significant environmental challenges due to high energy consumption and waste production. This study critically analyzes two advanced swarf cleaning methods including supercritical CO2 cleaning and Cryoclean to evaluate their environmental impacts. Using Life Cycle Assessment (LCA), the research compares these methods to determine their effectiveness in reducing CO2 emissions and overall environmental impact. The results reveal that Cryoclean is the preferred method, slightly outperforming supercritical CO2 cleaning in minimizing carbon emissions and ecosystem damage. This makes Cryoclean the more sustainable option for most industrial applications requiring effective, residue-free cleaning. Specifically, Cryoclean reduced CO2 emissions by approximately 5% compared to supercritical CO2 cleaning. The study also highlights the energy and resource efficiency of these methods, emphasizing their role in promoting sustainable manufacturing practices. By providing a detailed comparison of these cleaning processes, the study offers valuable insights into optimizing swarf recycling, thereby supporting the global shift towards more sustainable industrial practices. This research underscores the importance of adopting efficient swarf cleaning technologies to enhance the sustainability of metal manufacturing and meet environmental targets.

Procedia CIRPVol. 134
Cranfield University (GB)
Responsible consumption and production
Openalex Percentile: Top 19%
Injection Molding Process and Properties
1.43
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.