---
_id: '43046'
abstract:
- lang: eng
text: In the laser sintering technology, the semi-crystalline polymer material is
exposed to elevated temperatures during processing, which leads to serious material
ageing for most materials. This has already been investigated intensively by various
authors. However, the ageing of the material at ambient temperatures during shelf
life has not been the focus so far. The need to analyse the shelf life can be
derived from an ecological and economic point of view. This work is focusing on
the shelf life of PA2200 (PA12). To reduce the potential influences of powder
production fluctuations, two different powder batches stored for 5.5 years and
6.5 years are investigated and compared to a reference powder produced 0.5 years
before these investigations. Multiple powder analyses and part characterisations
have been performed. A significant yellowing and molecular chain length reduction
can be derived from the measurement results. Whereas the influence on mechanical
part performance was minor, the parts built with the stored powders are more yellowish.
As it is most likely that this is due to the consumption of polyamide stabilisers,
it can be assumed that these parts will be subject to significantly faster ageing.
Therefore, it is still not recommended to use the stored powders for critical
parts or light intense and humid environments.
author:
- first_name: Sven Helge
full_name: Klippstein, Sven Helge
id: '71545'
last_name: Klippstein
- first_name: Ivo
full_name: Kletetzka, Ivo
id: '50769'
last_name: Kletetzka
- first_name: Ilknur
full_name: Sural, Ilknur
last_name: Sural
- first_name: Hans-Joachim
full_name: Schmid, Hans-Joachim
id: '464'
last_name: Schmid
orcid: 000-0001-8590-1921
citation:
ama: Klippstein SH, Kletetzka I, Sural I, Schmid H-J. Influence of a prolonged shelf
time on PA12 laser sintering powder and resulting part properties. The International
Journal of Advanced Manufacturing Technology . Published online 2023. doi:https://doi.org/10.1007/s00170-023-11243-1
apa: Klippstein, S. H., Kletetzka, I., Sural, I., & Schmid, H.-J. (2023). Influence
of a prolonged shelf time on PA12 laser sintering powder and resulting part properties.
The International Journal of Advanced Manufacturing Technology . https://doi.org/10.1007/s00170-023-11243-1
bibtex: '@article{Klippstein_Kletetzka_Sural_Schmid_2023, title={Influence of a
prolonged shelf time on PA12 laser sintering powder and resulting part properties},
DOI={https://doi.org/10.1007/s00170-023-11243-1},
journal={The International Journal of Advanced Manufacturing Technology }, publisher={Springer},
author={Klippstein, Sven Helge and Kletetzka, Ivo and Sural, Ilknur and Schmid,
Hans-Joachim}, year={2023} }'
chicago: Klippstein, Sven Helge, Ivo Kletetzka, Ilknur Sural, and Hans-Joachim Schmid.
“Influence of a Prolonged Shelf Time on PA12 Laser Sintering Powder and Resulting
Part Properties.” The International Journal of Advanced Manufacturing Technology
, 2023. https://doi.org/10.1007/s00170-023-11243-1.
ieee: 'S. H. Klippstein, I. Kletetzka, I. Sural, and H.-J. Schmid, “Influence of
a prolonged shelf time on PA12 laser sintering powder and resulting part properties,”
The International Journal of Advanced Manufacturing Technology , 2023,
doi: https://doi.org/10.1007/s00170-023-11243-1.'
mla: Klippstein, Sven Helge, et al. “Influence of a Prolonged Shelf Time on PA12
Laser Sintering Powder and Resulting Part Properties.” The International Journal
of Advanced Manufacturing Technology , Springer, 2023, doi:https://doi.org/10.1007/s00170-023-11243-1.
short: S.H. Klippstein, I. Kletetzka, I. Sural, H.-J. Schmid, The International
Journal of Advanced Manufacturing Technology (2023).
date_created: 2023-03-18T14:28:46Z
date_updated: 2023-09-07T11:57:59Z
department:
- _id: '150'
- _id: '624'
- _id: '219'
- _id: '9'
doi: https://doi.org/10.1007/s00170-023-11243-1
keyword:
- Selective laser sintering
- Shelf life
- Polyamide 12
- powder
- PA2200
- material ageing
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/article/10.1007/s00170-023-11243-1
oa: '1'
publication: 'The International Journal of Advanced Manufacturing Technology '
publication_status: published
publisher: Springer
quality_controlled: '1'
status: public
title: Influence of a prolonged shelf time on PA12 laser sintering powder and resulting
part properties
type: journal_article
user_id: '50769'
year: '2023'
...
---
_id: '9879'
abstract:
- lang: eng
text: Application of prognostics and health management (PHM) in the field of Proton
Exchange Membrane (PEM) fuel cells is emerging as an important tool in increasing
the reliability and availability of these systems. Though a lot of work is currently
being conducted to develop PHM systems for fuel cells, various challenges have
been encountered including the self-healing effect after characterization as well
as accelerated degradation due to dynamic loading, all which make RUL predictions
a difficult task. In this study, a prognostic approach based on adaptive particle
filter algorithm is proposed. The novelty of the proposed method lies in the introduction
of a self-healing factor after each characterization and the adaption of the degradation
model parameters to fit to the changing degradation trend. An ensemble of five
different state models based on weighted mean is then developed. The results show
that the method is effective in estimating the remaining useful life of PEM fuel
cells, with majority of the predictions falling within 5\% error. The method was
employed in the IEEE 2014 PHM Data Challenge and led to our team emerging the
winner of the RUL category of the challenge.
author:
- first_name: 'James Kuria '
full_name: 'Kimotho, James Kuria '
last_name: Kimotho
- first_name: Tobias
full_name: Meyer, Tobias
last_name: Meyer
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Kimotho JK, Meyer T, Sextro W. PEM fuel cell prognostics using particle filter
with model parameter adaptation. In: Prognostics and Health Management (PHM),
2014 IEEE Conference On. ; 2014:1-6. doi:10.1109/ICPHM.2014.7036406'
apa: Kimotho, J. K., Meyer, T., & Sextro, W. (2014). PEM fuel cell prognostics
using particle filter with model parameter adaptation. In Prognostics and Health
Management (PHM), 2014 IEEE Conference on (pp. 1–6). https://doi.org/10.1109/ICPHM.2014.7036406
bibtex: '@inproceedings{Kimotho_Meyer_Sextro_2014, title={PEM fuel cell prognostics
using particle filter with model parameter adaptation}, DOI={10.1109/ICPHM.2014.7036406},
booktitle={Prognostics and Health Management (PHM), 2014 IEEE Conference on},
author={Kimotho, James Kuria and Meyer, Tobias and Sextro, Walter}, year={2014},
pages={1–6} }'
chicago: Kimotho, James Kuria , Tobias Meyer, and Walter Sextro. “PEM Fuel Cell
Prognostics Using Particle Filter with Model Parameter Adaptation.” In Prognostics
and Health Management (PHM), 2014 IEEE Conference On, 1–6, 2014. https://doi.org/10.1109/ICPHM.2014.7036406.
ieee: J. K. Kimotho, T. Meyer, and W. Sextro, “PEM fuel cell prognostics using particle
filter with model parameter adaptation,” in Prognostics and Health Management
(PHM), 2014 IEEE Conference on, 2014, pp. 1–6.
mla: Kimotho, James Kuria, et al. “PEM Fuel Cell Prognostics Using Particle Filter
with Model Parameter Adaptation.” Prognostics and Health Management (PHM),
2014 IEEE Conference On, 2014, pp. 1–6, doi:10.1109/ICPHM.2014.7036406.
short: 'J.K. Kimotho, T. Meyer, W. Sextro, in: Prognostics and Health Management
(PHM), 2014 IEEE Conference On, 2014, pp. 1–6.'
date_created: 2019-05-20T13:11:02Z
date_updated: 2019-05-20T13:12:27Z
department:
- _id: '151'
doi: 10.1109/ICPHM.2014.7036406
keyword:
- ageing
- particle filtering (numerical methods)
- proton exchange membrane fuel cells
- remaining life assessment
- PEM fuel cell prognostics
- PHM
- RUL predictions
- accelerated degradation
- adaptive particle filter algorithm
- dynamic loading
- model parameter adaptation
- prognostics and health management
- proton exchange membrane fuel cells
- remaining useful life estimation
- self-healing effect
- Adaptation models
- Data models
- Degradation
- Estimation
- Fuel cells
- Mathematical model
- Prognostics and health management
language:
- iso: eng
page: 1-6
publication: Prognostics and Health Management (PHM), 2014 IEEE Conference on
status: public
title: PEM fuel cell prognostics using particle filter with model parameter adaptation
type: conference
user_id: '55222'
year: '2014'
...