3D Metal Printing Using Laser Powder Bed Processes in the Food : Industry Impact of Post-Processing Methods on Surface Quality and Removal of Specifically Introduced Microbiological Contaminants

Additive manufacturing using laser powder bed fusion offers the food industry significant advantages, including optimisation of design and space utilisation, weight reduction, minimisation of warehousing and a reduction in individual components and weld seams.However, current post-print surfaces do not meet the industry's stringent hygiene requirements, necessitating the use of post-processing techniques.In this study, microbial investigations were carried out following the EHEDG Doc. 2 procedure using a model contamination and the test organism Geobacillus stearothermophilus to compare different post-processing methods.The results show that the roughness of components produced by Laser Powder Bed Fusion (LPBF) can be reduced from Ra = 4.3 m to as low as Ra = 0.7 m by the post-processing method of abrasive flow machining (AFM).A direct correlation was found between surface roughness and microbial contamination, with lower Ra values correlating with lower microbial presence.Although the hygienic requirements were met, the AFM finished components could not be completely cleaned due to grinding marks.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.25368/2025.113
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3D Metal Printing Using Laser Powder Bed Processes in the Food : Industry Impact of Post-Processing Methods on Surface Quality and Removal of Specifically Introduced Microbiological Contaminants

Vincent Eisenrauch, Marc Mauermann, Steffen Stelzer, Erica R.H. Fuchs
3 links
Additive Manufacturing and 3D Printing Technologies
article

3D Metal Printing Using Laser Powder Bed Processes in the Food : Industry Impact of Post-Processing Methods on Surface Quality and Removal of Specifically Introduced Microbiological Contaminants

Vincent Eisenrauch, Marc Mauermann, Steffen Stelzer, Erica R.H. Fuchs
article en

Abstract

Additive manufacturing using laser powder bed fusion offers the food industry significant advantages, including optimisation of design and space utilisation, weight reduction, minimisation of warehousing and a reduction in individual components and weld seams.However, current post-print surfaces do not meet the industry's stringent hygiene requirements, necessitating the use of post-processing techniques.In this study, microbial investigations were carried out following the EHEDG Doc. 2 procedure using a model contamination and the test organism Geobacillus stearothermophilus to compare different post-processing methods.The results show that the roughness of components produced by Laser Powder Bed Fusion (LPBF) can be reduced from Ra = 4.3 m to as low as Ra = 0.7 m by the post-processing method of abrasive flow machining (AFM).A direct correlation was found between surface roughness and microbial contamination, with lower Ra values correlating with lower microbial presence.Although the hygienic requirements were met, the AFM finished components could not be completely cleaned due to grinding marks.

Zero hunger
Openalex Percentile: Top 87%
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.

3D Metal Printing Using Laser Powder Bed Processes in the Food : Industry Impact of Post-Processing Methods on Surface Quality and Removal of Specifically Introduced Microbiological Contaminants — Vincent Eisenrauch, Marc Mauermann, et al. · (2025) | TGRS Research Map | TGRS