---
_id: '11792'
abstract:
- lang: eng
text: To facilitate the drying process and enhance the properties of oil palm wood,
oil palm boards were mechanically pre-dewatered and thermo-hygro-mechanically
(THM) densified. The thickness of the boards was reduced with compression ratios
of 40%, 60% and 75%. Since densified wood tends to recover from compression, especially
under humid conditions, this study examined the set-recovery and the hygroscopic
behavior of THM densified oil palm wood. The equilibrium moisture content (EMC),
differential swelling and swelling coefficient, linear swelling and shrinkage
as well as the differential swelling anisotropy were determined under climate
conditions with different relative humidity (RH) (20°C/35% RH, 20°C/65% RH and
20°C/85% RH). The maximum swelling was measured after water soaking and the remaining
set-recovery was evaluated after re-drying at 103°C. The EMC was reduced by the
THM process by around 20%. In the direction of compression (thickness), the densified
specimens show higher values for all analyzed swelling and shrinkage parameters
than the undensified specimens from the equivalent position within the trunk.
The maximum swelling in thickness of 22–38% during water soaking is mostly reversed
by shrinkage during re-drying and a comparably low remaining set-recovery of 3–8%
is measured at oven dry condition.
author:
- first_name: Nathan
full_name: Kölli, Nathan
id: '74242'
last_name: Kölli
- first_name: Katja
full_name: Frühwald-König, Katja
id: '26232'
last_name: Frühwald-König
- first_name: Martin
full_name: Hackel, Martin
id: '79798'
last_name: Hackel
citation:
ama: Kölli N, Frühwald-König K, Hackel M. Hygroscopic behavior of thermo-hygro-mechanical
(THM) densified oil palm sawn timber. Wood Material Science & Engineering.
Published online 2024:1-12. doi:10.1080/17480272.2024.2381100
apa: Kölli, N., Frühwald-König, K., & Hackel, M. (2024). Hygroscopic behavior
of thermo-hygro-mechanical (THM) densified oil palm sawn timber. Wood Material
Science & Engineering, 1–12. https://doi.org/10.1080/17480272.2024.2381100
bjps: Kölli N, Frühwald-König K and Hackel M (2024) Hygroscopic Behavior
of Thermo-Hygro-Mechanical (THM) Densified Oil Palm Sawn Timber. Wood Material
Science & Engineering 1–12.
chicago: Kölli, Nathan, Katja Frühwald-König, and Martin Hackel. “Hygroscopic Behavior
of Thermo-Hygro-Mechanical (THM) Densified Oil Palm Sawn Timber.” Wood Material
Science & Engineering, 2024, 1–12. https://doi.org/10.1080/17480272.2024.2381100.
chicago-de: 'Kölli, Nathan, Katja Frühwald-König und Martin Hackel. 2024. Hygroscopic
behavior of thermo-hygro-mechanical (THM) densified oil palm sawn timber. Wood
Material Science & Engineering: 1–12. doi:10.1080/17480272.2024.2381100,
.'
din1505-2-1: 'Kölli, Nathan ; Frühwald-König, Katja ; Hackel,
Martin: Hygroscopic behavior of thermo-hygro-mechanical (THM) densified
oil palm sawn timber. In: Wood Material Science & Engineering. London,
Taylor & Francis (2024), S. 1–12'
havard: N. Kölli, K. Frühwald-König, M. Hackel, Hygroscopic behavior of thermo-hygro-mechanical
(THM) densified oil palm sawn timber, Wood Material Science & Engineering.
(2024) 1–12.
ieee: 'N. Kölli, K. Frühwald-König, and M. Hackel, “Hygroscopic behavior of thermo-hygro-mechanical
(THM) densified oil palm sawn timber,” Wood Material Science & Engineering,
pp. 1–12, 2024, doi: 10.1080/17480272.2024.2381100.'
mla: Kölli, Nathan, et al. “Hygroscopic Behavior of Thermo-Hygro-Mechanical (THM)
Densified Oil Palm Sawn Timber.” Wood Material Science & Engineering,
2024, pp. 1–12, https://doi.org/10.1080/17480272.2024.2381100.
short: N. Kölli, K. Frühwald-König, M. Hackel, Wood Material Science & Engineering
(2024) 1–12.
ufg: 'Kölli, Nathan/Frühwald-König, Katja/Hackel, Martin: Hygroscopic behavior
of thermo-hygro-mechanical (THM) densified oil palm sawn timber, in: Wood Material
Science & Engineering (2024), S. 1–12.'
van: Kölli N, Frühwald-König K, Hackel M. Hygroscopic behavior of thermo-hygro-mechanical
(THM) densified oil palm sawn timber. Wood Material Science & Engineering.
2024;1–12.
date_created: 2024-07-27T05:38:16Z
date_updated: 2025-06-25T13:03:03Z
department:
- _id: DEP7018
- _id: DEP1309
doi: 10.1080/17480272.2024.2381100
external_id:
isi:
- '001274838600001'
isi: '1'
keyword:
- Densification
- set-recovery
- swelling and shrinkage
language:
- iso: eng
page: 1-12
place: London
publication: Wood Material Science & Engineering
publication_identifier:
eissn:
- 1748-0280
issn:
- 1748-0272
publication_status: published
publisher: Taylor & Francis
quality_controlled: '1'
status: public
title: Hygroscopic behavior of thermo-hygro-mechanical (THM) densified oil palm sawn
timber
type: scientific_journal_article
user_id: '83781'
year: '2024'
...
---
_id: '6919'
abstract:
- lang: eng
text: Programmable logic controllers (PLCs) have become the industry standard and
have replaced hard-wired electrical devices used to control production equipment.
With its advanced use, the PLC is increasingly becoming an important part of engineering.
Therefore, it is essential to effectively teach students how PLCs work and how
to program them through practical exercises. The goal of this paper is to present
a training set used to program a PLC that fulfills the needs of industrial engineering
students. The training set presented here allows students to learn about different
industrial applications of PLCs, and to program such PLCs themselves.
author:
- first_name: Alexander
full_name: Nikolenko, Alexander
id: '71431'
last_name: Nikolenko
- first_name: Frederic
full_name: Meyer, Frederic
id: '70963'
last_name: Meyer
- first_name: Sven
full_name: Hinrichsen, Sven
id: '49010'
last_name: Hinrichsen
citation:
ama: 'Nikolenko A, Meyer F, Hinrichsen S. How to Teach Digital Tools for Process
Automation in Industrial Engineering Education. In: Nunes I, ed. Advances in
Intelligent Systems and Computing. Vol 1207. Cham: Springer; 2020:69-74. doi:10.1007/978-3-030-51369-6_10'
apa: 'Nikolenko, A., Meyer, F., & Hinrichsen, S. (2020). How to Teach Digital
Tools for Process Automation in Industrial Engineering Education. In I. Nunes
(Ed.), Advances in Intelligent Systems and Computing (Vol. 1207, pp. 69–74).
Cham: Springer. https://doi.org/10.1007/978-3-030-51369-6_10'
bjps: 'Nikolenko A, Meyer F and Hinrichsen S (2020) How to Teach Digital
Tools for Process Automation in Industrial Engineering Education. In Nunes I (ed.),
Advances in Intelligent Systems and Computing, vol. 1207. Cham: Springer,
pp. 69–74.'
chicago: 'Nikolenko, Alexander, Frederic Meyer, and Sven Hinrichsen. “How to Teach
Digital Tools for Process Automation in Industrial Engineering Education.” In
Advances in Intelligent Systems and Computing, edited by I. Nunes, 1207:69–74.
Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-51369-6_10.'
chicago-de: 'Nikolenko, Alexander, Frederic Meyer und Sven Hinrichsen. 2020. How
to Teach Digital Tools for Process Automation in Industrial Engineering Education.
In: Advances in Intelligent Systems and Computing, hg. von I. Nunes, 1207:69–74.
Cham: Springer. doi:10.1007/978-3-030-51369-6_10,
.'
din1505-2-1: 'Nikolenko, Alexander
; Meyer, Frederic ; Hinrichsen,
Sven: How to Teach Digital Tools for Process Automation in Industrial Engineering
Education. In: Nunes, I. (Hrsg.):
Advances in Intelligent Systems and Computing. Bd. 1207. Cham : Springer,
2020, S. 69–74'
havard: 'A. Nikolenko, F. Meyer, S. Hinrichsen, How to Teach Digital Tools for Process
Automation in Industrial Engineering Education, in: I. Nunes (Ed.), Advances in
Intelligent Systems and Computing, Springer, Cham, 2020: pp. 69–74.'
ieee: 'A. Nikolenko, F. Meyer, and S. Hinrichsen, “How to Teach Digital Tools for
Process Automation in Industrial Engineering Education,” in Advances in Intelligent
Systems and Computing, vol. 1207, I. Nunes, Ed. Cham: Springer, 2020, pp.
69–74.'
mla: Nikolenko, Alexander, et al. “How to Teach Digital Tools for Process Automation
in Industrial Engineering Education.” Advances in Intelligent Systems and Computing,
edited by I. Nunes, vol. 1207, Springer, 2020, pp. 69–74, doi:10.1007/978-3-030-51369-6_10.
short: 'A. Nikolenko, F. Meyer, S. Hinrichsen, in: I. Nunes (Ed.), Advances in Intelligent
Systems and Computing, Springer, Cham, 2020, pp. 69–74.'
ufg: 'Nikolenko, Alexander et. al. (2020): How to Teach Digital Tools for
Process Automation in Industrial Engineering Education, in: I. Nunes (Hg.): Advances
in Intelligent Systems and Computing (= 1207), Cham, S. 69–74.'
van: 'Nikolenko A, Meyer F, Hinrichsen S. How to Teach Digital Tools for Process
Automation in Industrial Engineering Education. In: Nunes I, editor. Advances
in Intelligent Systems and Computing. Cham: Springer; 2020. p. 69–74.'
conference:
name: Advances in Human Factors and Systems Interaction (AHFE 2020)
date_created: 2021-12-21T16:44:41Z
date_updated: 2023-03-15T13:50:08Z
department:
- _id: DEP7020
- _id: DEP1305
doi: 10.1007/978-3-030-51369-6_10
editor:
- first_name: I.
full_name: Nunes, I.
last_name: Nunes
intvolume: ' 1207'
keyword:
- PLC
- Digitization
- Industrial Engineering
- Training Set
language:
- iso: eng
page: 69-74
place: Cham
publication: Advances in Intelligent Systems and Computing
publication_identifier:
isbn:
- '9783030513689'
- '9783030513696'
issn:
- 2194-5357
- 2194-5365
publication_status: published
publisher: Springer
quality_controlled: '1'
status: public
title: How to Teach Digital Tools for Process Automation in Industrial Engineering
Education
type: book_chapter
user_id: '49010'
volume: 1207
year: 2020
...
---
_id: '2141'
abstract:
- lang: eng
text: Sensor and information fusion is recently a major topic which becomes important
in machine diagnosis and conditioning for complex production machines and process
engineering. It is a known fact that distributed automation systems have a major
impact on signal processing and pattern recognition for machine diagnosis. Therefore,
it is necessary to research and develop smart diagnosis methods which are applicable
for distributed systems like resource-limited cyber-physical systems. In this
paper we propose an new approach for sensor and information fusion based on Evidence
Theory and socio-psychological decision-making. We show that context based condition
monitoring is instantiated even in conflict situations, oc-curing in real life
scenarios permanently. A simple but effective importance measure is proposed which
controls the significance of conditioning propositions in a system.
author:
- first_name: Uwe
full_name: Mönks, Uwe
id: '1825'
last_name: Mönks
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
citation:
ama: 'Mönks U, Lohweg V. Machine Conditioning by Importance Controlled Information
Fusion. In: IEEE, ed. 18th IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA). Cagliari, Italy; 2013. doi:10.1109/ETFA.2013.6647984'
apa: Mönks, U., & Lohweg, V. (2013). Machine Conditioning by Importance Controlled
Information Fusion. In IEEE (Ed.), 18th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA). Cagliari, Italy. https://doi.org/10.1109/ETFA.2013.6647984
bjps: Mönks U and Lohweg V (2013) Machine Conditioning by Importance Controlled
Information Fusion. In IEEE (ed.), 18th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA). Cagliari, Italy.
chicago: Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled
Information Fusion.” In 18th IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), edited by IEEE. Cagliari, Italy, 2013. https://doi.org/10.1109/ETFA.2013.6647984.
chicago-de: 'Mönks, Uwe und Volker Lohweg. 2013. Machine Conditioning by Importance
Controlled Information Fusion. In: 18th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA), hg. von IEEE. Cagliari, Italy.
doi:10.1109/ETFA.2013.6647984,
.'
din1505-2-1: 'Mönks, Uwe ; Lohweg,
Volker: Machine Conditioning by Importance Controlled Information Fusion.
In: IEEE (Hrsg.): 18th IEEE International
Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari,
Italy, 2013'
havard: 'U. Mönks, V. Lohweg, Machine Conditioning by Importance Controlled Information
Fusion, in: IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), Cagliari, Italy, 2013.'
ieee: U. Mönks and V. Lohweg, “Machine Conditioning by Importance Controlled Information
Fusion,” in 18th IEEE International Conference on Emerging Technologies and
Factory Automation (ETFA), 2013.
mla: Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled
Information Fusion.” 18th IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), edited by IEEE, 2013, doi:10.1109/ETFA.2013.6647984.
short: 'U. Mönks, V. Lohweg, in: IEEE (Ed.), 18th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.'
ufg: 'Mönks, Uwe/Lohweg, Volker (2013): Machine Conditioning by Importance
Controlled Information Fusion, in: IEEE (Hg.): 18th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy.'
van: 'Mönks U, Lohweg V. Machine Conditioning by Importance Controlled Information
Fusion. In: IEEE, editor. 18th IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA). Cagliari, Italy; 2013.'
corporate_editor:
- IEEE
date_created: 2019-12-04T09:30:15Z
date_updated: 2023-03-15T13:49:39Z
department:
- _id: DEP5023
doi: 10.1109/ETFA.2013.6647984
keyword:
- Decision making
- Robot sensing systems
- Reliability
- Production
- Context
- Fuzzy set theory
- Data integration
language:
- iso: eng
place: Cagliari, Italy
publication: 18th IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA)
publication_identifier:
eisbn:
- 978-1-4799-0864-6
eissn:
- '1946-0759 '
isbn:
- 978-1-4799-0862-2
issn:
- '1946-0740 '
publication_status: published
status: public
title: Machine Conditioning by Importance Controlled Information Fusion
type: conference
user_id: '45673'
year: 2013
...
---
_id: '2107'
abstract:
- lang: eng
text: In this paper we propose a novel, extended perspective on evidential aggregation
rules in machine condition monitoring. First, aspects regarding the interconnections
between Dempster-Shafer, Fuzzy Set, and Possibility Theory are shown. Subsequently,
a novel approach for direct determination of basic probability assignments using
Fuzzy membership functions is proposed. Finally, it is applied to a pipe extrusion
line's condition monitoring system, considering and reducing pairwise conflicts.
author:
- first_name: Uwe
full_name: Mönks, Uwe
id: '1825'
last_name: Mönks
- first_name: Karl
full_name: Voth, Karl
last_name: Voth
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
citation:
ama: 'Mönks U, Voth K, Lohweg V. An Extended Perspective on Evidential Aggregation
Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain.
; 2012. doi:10.1109/CIP.2012.6232905'
apa: Mönks, U., Voth, K., & Lohweg, V. (2012). An Extended Perspective on Evidential
Aggregation Rules in Machine Conditioning. In IEEE CIP 2012, Third International
Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona,
Spain. https://doi.org/10.1109/CIP.2012.6232905
bjps: Mönks U, Voth K and Lohweg V (2012) An Extended Perspective on Evidential
Aggregation Rules in Machine Conditioning. IEEE CIP 2012, Third International
Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona,
Spain.
chicago: Mönks, Uwe, Karl Voth, and Volker Lohweg. “An Extended Perspective on Evidential
Aggregation Rules in Machine Conditioning.” In IEEE CIP 2012, Third International
Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona,
Spain, 2012. https://doi.org/10.1109/CIP.2012.6232905.
chicago-de: 'Mönks, Uwe, Karl Voth und Volker Lohweg. 2012. An Extended Perspective
on Evidential Aggregation Rules in Machine Conditioning. In: IEEE CIP 2012,
Third International Workshop on Cognitive Information Processing, May 28-30 2012,
Parador de Baiona, Spain. doi:10.1109/CIP.2012.6232905,
.'
din1505-2-1: 'Mönks, Uwe ; Voth,
Karl ; Lohweg, Volker: An
Extended Perspective on Evidential Aggregation Rules in Machine Conditioning.
In: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing,
May 28-30 2012, Parador de Baiona, Spain, 2012'
havard: 'U. Mönks, K. Voth, V. Lohweg, An Extended Perspective on Evidential Aggregation
Rules in Machine Conditioning, in: IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain,
2012.'
ieee: U. Mönks, K. Voth, and V. Lohweg, “An Extended Perspective on Evidential Aggregation
Rules in Machine Conditioning,” in IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain,
2012.
mla: Mönks, Uwe, et al. “An Extended Perspective on Evidential Aggregation Rules
in Machine Conditioning.” IEEE CIP 2012, Third International Workshop on Cognitive
Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012, doi:10.1109/CIP.2012.6232905.
short: 'U. Mönks, K. Voth, V. Lohweg, in: IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain,
2012.'
ufg: 'Mönks, Uwe et. al. (2012): An Extended Perspective on Evidential Aggregation
Rules in Machine Conditioning, in: IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain.'
van: 'Mönks U, Voth K, Lohweg V. An Extended Perspective on Evidential Aggregation
Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain.
2012.'
date_created: 2019-12-03T06:40:20Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: 10.1109/CIP.2012.6232905
keyword:
- Sensor phenomena and characterization
- Production
- Sensor fusion
- Fuzzy set theory
- Conferences
- Possibility theory
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/abstract/document/6232905/keywords#keywords
publication: IEEE CIP 2012, Third International Workshop on Cognitive Information
Processing, May 28-30 2012, Parador de Baiona, Spain
publication_identifier:
eisbn:
- 978-1-4673-1878-5
eissn:
- '2327-1698 '
isbn:
- 978-1-4673-1877-8
issn:
- '2327-1671 '
publication_status: published
status: public
title: An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning
type: conference
user_id: '45673'
year: 2012
...