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[nazev] => Enhanced Identification of the Parameters of a Jeffcott Rotor from Run-up Transients using Physics-informed Neural Networks with Sinusoidal Activations
[nazev_orig] => Enhanced Identification of the Parameters of a Jeffcott Rotor from Run-up Transients using Physics-informed Neural Networks with Sinusoidal Activations
[duvernost_udaju_id] => S
[popis] => Accurate identification of rotor-dynamic parameters is essential for the health monitoring of
rotating machinery. Classical methods such as FRF fitting and Kalman filtering often require
long stationary datasets and perform poorly under noisy transient conditions, such as during
run-up tests. Physics-informed neural networks (PINNs) have emerged as a data-efficient
alternative; however, standard tanh/ReLU architectures are susceptible to spectral bias, which
limits their ability to capture rapidly varying responses. In this study, we employ a PINN with
sinusoidal representation networks (SIREN) to estimate the stiffness, damping and
eccentricity of a Jeffcott rotor undergoing constant angular acceleration directly from non-
stationary run-up data. Sinusoidal activations mitigate spectral bias and improve the
representation of the chirp-like dynamics near resonance. Using synthetic displacement
signals with controlled noise, we demonstrate that the SIREN-based PINN outperforms a
tanh-activated baseline in terms of both accuracy and training efficiency. Beyond full-signal
runs, feasibility studies are discussed using only short run-up windows, showing that reliable
parameter identification is possible from sub-second transients. The results suggest that using
sinusoidal representations in PINNs is a good way to estimate parameters from data where the
system is only temporarily operating. This is in addition to steady-state approaches and could
lead to online health monitoring systems that work in practice.
[popis_orig] => Accurate identification of rotor-dynamic parameters is essential for the health monitoring of
rotating machinery. Classical methods such as FRF fitting and Kalman filtering often require
long stationary datasets and perform poorly under noisy transient conditions, such as during
run-up tests. Physics-informed neural networks (PINNs) have emerged as a data-efficient
alternative; however, standard tanh/ReLU architectures are susceptible to spectral bias, which
limits their ability to capture rapidly varying responses. In this study, we employ a PINN with
sinusoidal representation networks (SIREN) to estimate the stiffness, damping and
eccentricity of a Jeffcott rotor undergoing constant angular acceleration directly from non-
stationary run-up data. Sinusoidal activations mitigate spectral bias and improve the
representation of the chirp-like dynamics near resonance. Using synthetic displacement
signals with controlled noise, we demonstrate that the SIREN-based PINN outperforms a
tanh-activated baseline in terms of both accuracy and training efficiency. Beyond full-signal
runs, feasibility studies are discussed using only short run-up windows, showing that reliable
parameter identification is possible from sub-second transients. The results suggest that using
sinusoidal representations in PINNs is a good way to estimate parameters from data where the
system is only temporarily operating. This is in addition to steady-state approaches and could
lead to online health monitoring systems that work in practice.
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[citace_text] => CABAJ, G.; NÁVRAT, T.; PAVLÍK, O. Enhanced Identification of the Parameters of a Jeffcott Rotor from Run-up Transients using Physics-informed Neural Networks with Sinusoidal Activations. 2025.
[citace_html] => CABAJ, G.; NÁVRAT, T.; PAVLÍK, O. Enhanced Identification of the Parameters of a Jeffcott Rotor from Run-up Transients using Physics-informed Neural Networks with Sinusoidal Activations. 2025.
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editor="Gabriel {Cabaj} and Tomáš {Návrat} and Ondřej {Pavlík}",
title="Enhanced Identification of the Parameters of a Jeffcott Rotor from Run-up Transients using Physics-informed Neural Networks with Sinusoidal Activations",
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[nazev_en] => Enhanced Identification of the Parameters of a Jeffcott Rotor from Run-up Transients using Physics-informed Neural Networks with Sinusoidal Activations
[popis_en] => Accurate identification of rotor-dynamic parameters is essential for the health monitoring of
rotating machinery. Classical methods such as FRF fitting and Kalman filtering often require
long stationary datasets and perform poorly under noisy transient conditions, such as during
run-up tests. Physics-informed neural networks (PINNs) have emerged as a data-efficient
alternative; however, standard tanh/ReLU architectures are susceptible to spectral bias, which
limits their ability to capture rapidly varying responses. In this study, we employ a PINN with
sinusoidal representation networks (SIREN) to estimate the stiffness, damping and
eccentricity of a Jeffcott rotor undergoing constant angular acceleration directly from non-
stationary run-up data. Sinusoidal activations mitigate spectral bias and improve the
representation of the chirp-like dynamics near resonance. Using synthetic displacement
signals with controlled noise, we demonstrate that the SIREN-based PINN outperforms a
tanh-activated baseline in terms of both accuracy and training efficiency. Beyond full-signal
runs, feasibility studies are discussed using only short run-up windows, showing that reliable
parameter identification is possible from sub-second transients. The results suggest that using
sinusoidal representations in PINNs is a good way to estimate parameters from data where the
system is only temporarily operating. This is in addition to steady-state approaches and could
lead to online health monitoring systems that work in practice.
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[nazev] => Vertical Stabilization of Bipedal Walking Drone PAVO with Proximal Policy Optimization
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[popis] => While autonomous mobile robots have gained more popularity over the last few years and many traditional problems (such as navigation and locomotion) seem to have been solved with an adequate level of accuracy, walking and biped robots still face many challenges. We present an approach to the stabilization of mobile robots with two legs, which move via quasi-dynamic movement. A popular machine learning method, Proximal Policy Optimization (PPO), was used to learn how to stabilize the robot in a vertical position. This method is popular for solving complex problem domains with high-dimensional state-action spaces and continuous states and actions, which are common in areas involving walking robots with a high number of degrees of freedom. The method was tested on a custom-designed biped walking robot, PAVO.
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[klicova_slova] => Machine Learning, Proximal Policy Optimization, Walking Robot, Biped Robot
[klicova_slova_orig] => Machine Learning, Proximal Policy Optimization, Walking Robot, Biped Robot
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[citace_text] => VĚCHET, S.; KREJSA, J.; CHEN, K. Vertical Stabilization of Bipedal Walking Drone PAVO with Proximal Policy Optimization. In Proceedings of the 2024 21st International Conference on Mechatronics - Mechatronika, ME 2024. 2024. p. 1-6. ISBN: 979-8-3503-9491-7.
[citace_html] => VĚCHET, S.; KREJSA, J.; CHEN, K. Vertical Stabilization of Bipedal Walking Drone PAVO with Proximal Policy Optimization. In Proceedings of the 2024 21st International Conference on Mechatronics - Mechatronika, ME 2024. 2024. p. 1-6. ISBN: 979-8-3503-9491-7.
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[nazev_orig] => An Integrated LCD Quality Assessment Flow based on the Integration of Image Processing, Ergonomics, and Machine Learning
[duvernost_udaju_id] => S
[popis] => In mass production, good and stable quality control and inspections are crucial. However, up to recent, LCD inspection process still highly relies on manually visual inspection from experienced works and could possibly be biased due to subjective judgement. Recently, automated optical inspection (AOI) has been adopted to LCD inspection for years, but defect classification and overall quality assessment still relies on human inspectors, which is inevitably biased by the physical and psychological conditions and a more objective manner and a rational flow should be developed based on computerized inspections. In particular, LCD inspections should accomplish both local defect classification and global mura defect quantification simultaneously and this represents a bottleneck for preventing LCD inspection automation. Thus, this work focuses on proposing a rational flow for addressing the above needs from classification and to quantify the possible LCD defects by using convolutional neural network and image processing to realize an objective defect classification based on both CNN and image thresholding. In addition, a novel quality evaluation index has also been proposed by adding the information of defected area, defected gradient, and average brightness of defected zone, to improve the existed SEMI index based on ergodic experiments. In summary, the flow presented in this work has achieved better and objective evaluations than that performed by human inspection. In the future, based on the flow outlined, it is expected that a more substantial defect classification and evaluation model suitable could be realized. This would benefit to LCD industries.
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[klicova_slova] => LCD, defect detection, deep learning, image processing, ergonomics
[klicova_slova_orig] => LCD, defect detection, deep learning, image processing, ergonomics
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[citace_text] => CHEN, C.; CHEN, K.; VĚCHET, S.; GUO, Y. An Integrated LCD Quality Assessment Flow based on the Integration of Image Processing, Ergonomics, and Machine Learning. In Proceedings of the 2024 21st International Conference on Mechatronics - Mechatronika, ME 2024. 2024. p. 38-43. ISBN: 979-8-3503-9491-7.
[citace_html] => CHEN, C.; CHEN, K.; VĚCHET, S.; GUO, Y. An Integrated LCD Quality Assessment Flow based on the Integration of Image Processing, Ergonomics, and Machine Learning. In Proceedings of the 2024 21st International Conference on Mechatronics - Mechatronika, ME 2024. 2024. p. 38-43. ISBN: 979-8-3503-9491-7.
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[nazev_en] => An Integrated LCD Quality Assessment Flow based on the Integration of Image Processing, Ergonomics, and Machine Learning
[popis_en] => In mass production, good and stable quality control and inspections are crucial. However, up to recent, LCD inspection process still highly relies on manually visual inspection from experienced works and could possibly be biased due to subjective judgement. Recently, automated optical inspection (AOI) has been adopted to LCD inspection for years, but defect classification and overall quality assessment still relies on human inspectors, which is inevitably biased by the physical and psychological conditions and a more objective manner and a rational flow should be developed based on computerized inspections. In particular, LCD inspections should accomplish both local defect classification and global mura defect quantification simultaneously and this represents a bottleneck for preventing LCD inspection automation. Thus, this work focuses on proposing a rational flow for addressing the above needs from classification and to quantify the possible LCD defects by using convolutional neural network and image processing to realize an objective defect classification based on both CNN and image thresholding. In addition, a novel quality evaluation index has also been proposed by adding the information of defected area, defected gradient, and average brightness of defected zone, to improve the existed SEMI index based on ergodic experiments. In summary, the flow presented in this work has achieved better and objective evaluations than that performed by human inspection. In the future, based on the flow outlined, it is expected that a more substantial defect classification and evaluation model suitable could be realized. This would benefit to LCD industries.
[klicova_slova_en] => LCD, defect detection, deep learning, image processing, ergonomics
[vysledek_datum] => 2024-12-04T00:00:00+01:00
)
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[popis] => In modern smart manufacturing, machine condition monitoring is essential. To achieve the goal, the associate status monitoring system needs to have several features such as data acquisition from sensors, edge computing for generating effective index, and user interface to display information and communicate with the host. To accomplish these abilities, this work hires a M487 micro controller (MCU) and a R-Pi single-board computer (SBC) to develop the associate status monitoring system for both computational versality and cost-saving considerations. The microcontroller is responsible for data acquisition and edge computing, while the single-board computer would handle the data transmission and user interface issues. The entire system is modulized for ease of carry and modification in any factory equipment. The module could extract key sensor indexes in both time and frequency domains per 30 seconds for signals from 12 channels and has been operated for approximately one month continuously in a local LCD panel manufacturing company for diagnosing possible abnormal conditions. In comparison to other modules, the designed module is far more flexible and powerful for practical industrial needs and should be very useful for cyber-physical system realizations.
[popis_orig] => In modern smart manufacturing, machine condition monitoring is essential. To achieve the goal, the associate status monitoring system needs to have several features such as data acquisition from sensors, edge computing for generating effective index, and user interface to display information and communicate with the host. To accomplish these abilities, this work hires a M487 micro controller (MCU) and a R-Pi single-board computer (SBC) to develop the associate status monitoring system for both computational versality and cost-saving considerations. The microcontroller is responsible for data acquisition and edge computing, while the single-board computer would handle the data transmission and user interface issues. The entire system is modulized for ease of carry and modification in any factory equipment. The module could extract key sensor indexes in both time and frequency domains per 30 seconds for signals from 12 channels and has been operated for approximately one month continuously in a local LCD panel manufacturing company for diagnosing possible abnormal conditions. In comparison to other modules, the designed module is far more flexible and powerful for practical industrial needs and should be very useful for cyber-physical system realizations.
[klicova_slova] => Smart factory, status monitoring, diagnosis and prognosis, edge computation, man-machine interface
[klicova_slova_orig] => Smart factory, status monitoring, diagnosis and prognosis, edge computation, man-machine interface
[url] =>
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[citace_text] => CHIANG, C.; HUANG, Z.; YANG, P.; CHENG, Y.; GUO, Y.; CHEN, K.; VĚCHET, S. Development of Microcontroller-Based Status Monitoring System for Diagnosis and Prognosis of Smart Factory. In 2024 SICE Festival with Annual Conference, SICE FES 2024. 2024. p. 217-6. ISBN: 979-8-3315-4446-1.
[citace_html] => CHIANG, C.; HUANG, Z.; YANG, P.; CHENG, Y.; GUO, Y.; CHEN, K.; VĚCHET, S. Development of Microcontroller-Based Status Monitoring System for Diagnosis and Prognosis of Smart Factory. In 2024 SICE Festival with Annual Conference, SICE FES 2024. 2024. p. 217-6. ISBN: 979-8-3315-4446-1.
[citace_rtf] =>
[citace_bibtex] => @inproceedings{BUT200914,
author="{} and {} and {} and {} and {} and {} and Stanislav {Věchet}",
title="Development of Microcontroller-Based Status Monitoring System for Diagnosis and Prognosis of Smart Factory",
booktitle="2024 SICE Festival with Annual Conference, SICE FES 2024",
year="2024",
pages="217--6",
isbn="979-8-3315-4446-1"
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[nazev_en] => Development of Microcontroller-Based Status Monitoring System for Diagnosis and Prognosis of Smart Factory
[popis_en] => In modern smart manufacturing, machine condition monitoring is essential. To achieve the goal, the associate status monitoring system needs to have several features such as data acquisition from sensors, edge computing for generating effective index, and user interface to display information and communicate with the host. To accomplish these abilities, this work hires a M487 micro controller (MCU) and a R-Pi single-board computer (SBC) to develop the associate status monitoring system for both computational versality and cost-saving considerations. The microcontroller is responsible for data acquisition and edge computing, while the single-board computer would handle the data transmission and user interface issues. The entire system is modulized for ease of carry and modification in any factory equipment. The module could extract key sensor indexes in both time and frequency domains per 30 seconds for signals from 12 channels and has been operated for approximately one month continuously in a local LCD panel manufacturing company for diagnosing possible abnormal conditions. In comparison to other modules, the designed module is far more flexible and powerful for practical industrial needs and should be very useful for cyber-physical system realizations.
[klicova_slova_en] => Smart factory, status monitoring, diagnosis and prognosis, edge computation, man-machine interface
[vysledek_datum] => 2024-08-27T00:00:00+02:00
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[citace_text] => 2024 SICE Festival with Annual Conference, SICE FES 2024. Kochi City (27.08.2024)
[citace_html] => 2024 SICE Festival with Annual Conference, SICE FES 2024. Kochi City (27.08.2024)
[citace_rtf] =>
[citace_bibtex] => @misc{BUT200915,
year="2024",
url="https://sice.jp/siceac/sice2024/",
note="External event"
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[duvernost_udaju_id] => S
[popis] => Prototyp plynem mazaného radiálního ložiska s naklápěcími segmenty určený pro vysokorychlostní aplikace rotačních strojů. Ložiska byla navržena a vyrobena v několika rozměrových provedeních s vnitřními průměry hřídele v rozsahu 6 až 100 mm. Funkčnost prototypu byla experimentálně ověřena akceptačním a kvalifikačním testováním, včetně dlouhodobých zkoušek opakovaných startovacích cyklů přesahujících 100 000 cyklů. Nejmenší rozměrové provedení je navrženo pro provozní otáčky až 636 600 ot./min.
[popis_orig] => Prototyp plynem mazaného radiálního ložiska s naklápěcími segmenty určený pro vysokorychlostní aplikace rotačních strojů. Ložiska byla navržena a vyrobena v několika rozměrových provedeních s vnitřními průměry hřídele v rozsahu 6 až 100 mm. Funkčnost prototypu byla experimentálně ověřena akceptačním a kvalifikačním testováním, včetně dlouhodobých zkoušek opakovaných startovacích cyklů přesahujících 100 000 cyklů. Nejmenší rozměrové provedení je navrženo pro provozní otáčky až 636 600 ot./min.
[klicova_slova] => plynem mazané ložisko, naklápěcí segmenty, vysokorychlostní ložisko, aerodynamické ložisko, prototyp
[klicova_slova_orig] => plynem mazané ložisko, naklápěcí segmenty, vysokorychlostní ložisko, aerodynamické ložisko, prototyp
[url] =>
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[upravil] => Petruška Jindřich
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[citace_text] => VAJDÁK, M.; POPELKA, M.; HURNÍK, Š.; NÁVRAT, T.; POKORNÝ, J.; PAVLÍK, O.: Prototyp plynem mazaného ložiska. (Prototyp)
[citace_html] => VAJDÁK, M.; POPELKA, M.; HURNÍK, Š.; NÁVRAT, T.; POKORNÝ, J.; PAVLÍK, O.: Prototyp plynem mazaného ložiska. (Prototyp)
[citace_rtf] =>
[citace_bibtex] => @misc{BUT200916,
author="Michal {Vajdák} and Michal {Popelka} and Štěpán {Hurník} and Tomáš {Návrat} and Jan {Pokorný} and Ondřej {Pavlík}",
title="Prototyp plynem mazaného ložiska",
year="2025",
note="Prototype"
}
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[nazev_en] => Prototype of a Gas-Lubricated Bearing
[popis_en] => Prototype of a gas-lubricated radial bearing with tilting pads designed for high-speed rotating machinery applications. Bearings were designed and manufactured in several size variants with shaft diameters ranging from 6 to 100 mm. The prototype functionality was experimentally verified through acceptance and qualification testing, including long-term testing with more than 100,000 start-up cycles. The smallest bearing size is designed for operating speeds of up to 636,600 rpm.
[klicova_slova_en] => gas-lubricated bearing, tilting-pad bearing, high-speed bearing, aerodynamic bearing, prototype
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[nazev] => Užitný vzor plynem mazaného ložiska
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[duvernost_udaju_id] => S
[popis] => Užitný vzor se týká kluzného radiálního plynem mazaného ložiska s naklápěcími segmenty, jejichž funkční poloha je vymezena sestavou prohnutých plochých pružin a fixačního mechanismu. Technické řešení spočívá v konstrukčně jednoduchém a robustním uspořádání stavěcích čepů s nákružkem a trubkovitou objímkou, které umožňuje přesné vymezení zdvihu pružin, stabilní naklápění segmentů a zachování požadované ložiskové vůle. Řešení je navrženo s ohledem na provoz vysokorychlostních rotačních strojů a je vhodné pro sériovou výrobu díky zjednodušené montáži a sníženým nárokům na přesnost obrábění ložiskového pouzdra.
[popis_orig] => Užitný vzor se týká kluzného radiálního plynem mazaného ložiska s naklápěcími segmenty, jejichž funkční poloha je vymezena sestavou prohnutých plochých pružin a fixačního mechanismu. Technické řešení spočívá v konstrukčně jednoduchém a robustním uspořádání stavěcích čepů s nákružkem a trubkovitou objímkou, které umožňuje přesné vymezení zdvihu pružin, stabilní naklápění segmentů a zachování požadované ložiskové vůle. Řešení je navrženo s ohledem na provoz vysokorychlostních rotačních strojů a je vhodné pro sériovou výrobu díky zjednodušené montáži a sníženým nárokům na přesnost obrábění ložiskového pouzdra.
[klicova_slova] => plynem mazané ložisko, kluzné radiální ložisko, naklápěcí segmenty, plochá pružina, vysokorychlostní stroj, užitný vzor
[klicova_slova_orig] => plynem mazané ložisko, kluzné radiální ložisko, naklápěcí segmenty, plochá pružina, vysokorychlostní stroj, užitný vzor
[url] =>
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[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => cs
[schvalil_id] => 1770
[schvaleno] => 2026-02-08
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[slozka_id] => 184554
[posledni_diagnostika] =>
[vycet_osob] => VAJDÁK, M.; POPELKA, M.; HURNÍK, Š.; NÁVRAT, T.; POKORNÝ, J.; PAVLÍK, O.
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[kategorie_nazev] => Aplikované výsledky
[druh_nazev] => Užitný vzor
[druh_popis] => Užitný vzor
[stav] => Schválený
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[vysledek_stav_id] => 3
[vlozil] => Návrat Tomáš
[upravil] => Petruška Jindřich
[ins_uid] => 15110
[upd_uid] => 1770
[ins_ts] => 2026-02-04
[upd_ts] => 2026-02-08
[status] => 9
[identifikator] =>
[identifikator_popis] =>
[riv_dodavka_id] => 3581
[riv_dodavka_oznaceni] => RIV26-TA0-26210___
[riv_dodavka_rok] => 2026
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[citace_text] => VAJDÁK, M.; POPELKA, M.; HURNÍK, Š.; NÁVRAT, T.; POKORNÝ, J.; PAVLÍK, O.; Inpraise systems s.r.o., Vsetín Vysoké učení technické v Brně, Brno, Veveří: Užitný vzor plynem mazaného ložiska. 38656, Užitný vzor. (2025)
[citace_html] => VAJDÁK, M.; POPELKA, M.; HURNÍK, Š.; NÁVRAT, T.; POKORNÝ, J.; PAVLÍK, O.; Inpraise systems s.r.o., Vsetín Vysoké učení technické v Brně, Brno, Veveří: Užitný vzor plynem mazaného ložiska. 38656, Užitný vzor. (2025)
[citace_rtf] =>
[citace_bibtex] => @misc{BUT200918,
author="Michal {Vajdák} and Michal {Popelka} and Štěpán {Hurník} and Tomáš {Návrat} and Jan {Pokorný} and Ondřej {Pavlík}",
title="Užitný vzor plynem mazaného ložiska",
year="2025",
note="Utility model"
}
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[oecd_tree_podobor_nazev] => Mechanical engineering
[poznamka_metriky] =>
[nazev_en] => Utility Model of a Gas-Lubricated Bearing
[popis_en] => The utility model relates to a gas-lubricated radial bearing with tilting pads, whose functional position is defined by a system of curved flat springs and a fixing mechanism. The technical solution is based on a simple and robust arrangement of adjusting pins with a collar and a tubular sleeve, enabling precise limitation of spring deflection, stable tilting of the pads, and maintenance of the required bearing clearance. The design is intended for high-speed rotating machinery and is suitable for series production due to simplified assembly and reduced manufacturing accuracy requirements.
[klicova_slova_en] => gas-lubricated bearing, radial sliding bearing, tilting pads, flat spring, high-speed machinery, utility model
[vysledek_datum] => 2025-06-10T00:00:00+02:00
)
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(
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[nazev] => Optimizing Pre-Stress In Filament Winding For Enhanced Carbon-Fiber Reinforced Polymer Composite Sleeves In High-Speed PMSM Rotors
[nazev_orig] => Optimizing Pre-Stress In Filament Winding For Enhanced Carbon-Fiber Reinforced Polymer Composite Sleeves In High-Speed PMSM Rotors
[duvernost_udaju_id] => S
[popis] => This research investigates the optimization of filament winding pre-stress for Carbon Fiber Reinforced Polymer (CFRP) retaining sleeves used in high-speed Permanent Magnet Synchronous Motors (PMSM). The study utilized numerical simulations in ANSYS Workbench to define load parameters, followed by the manufacturing and destructive tensile testing of 11 composite specimens with winding tensions ranging from 5 to 30 kg. Using Digital Image Correlation (DIC) for analysis, the results demonstrated that optimal pre-stress significantly improves manufacturing repeatability. While average tensile strength increased marginally (4%), the statistical deviation was reduced to approximately one-third of the original range, establishing a reliable strength limit within a 95% confidence interval.
[popis_orig] => This research investigates the optimization of filament winding pre-stress for Carbon Fiber Reinforced Polymer (CFRP) retaining sleeves used in high-speed Permanent Magnet Synchronous Motors (PMSM). The study utilized numerical simulations in ANSYS Workbench to define load parameters, followed by the manufacturing and destructive tensile testing of 11 composite specimens with winding tensions ranging from 5 to 30 kg. Using Digital Image Correlation (DIC) for analysis, the results demonstrated that optimal pre-stress significantly improves manufacturing repeatability. While average tensile strength increased marginally (4%), the statistical deviation was reduced to approximately one-third of the original range, establishing a reliable strength limit within a 95% confidence interval.
[klicova_slova] => High-speed PMSM, Rotor Design, Carbon Fiber Reinforced Polymer, CFRP, Filament
Winding, Pre-Stress, Unidirectional Carbon Fiber, Tensile Testing, Mechanical Properties
[klicova_slova_orig] => High-speed PMSM, Rotor Design, Carbon Fiber Reinforced Polymer, CFRP, Filament
Winding, Pre-Stress, Unidirectional Carbon Fiber, Tensile Testing, Mechanical Properties
[url] =>
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[odpovedny_utvar_nazev] => Ústav mechaniky těles, mechatroniky a biomechaniky
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[originalni_jazyk] => en
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[vycet_osob] => PAVLÍK, O.; NÁVRAT, T.
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[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Abstrakt
[druh_popis] => Abstrakt
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Pavlík Ondřej
[upravil] => Petruška Jindřich
[ins_uid] => 161489
[upd_uid] => 1770
[ins_ts] => 2026-02-04
[upd_ts] => 2026-02-08
[status] => 9
[identifikator] => ISBN 978-80-87434-11-6
[identifikator_popis] => ISBN - 26th International Conference Applied Mechanics 2025 Conference Proceedings
[riv_dodavka_id] =>
[riv_dodavka_oznaceni] =>
[riv_dodavka_rok] =>
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[citace_text] => PAVLÍK, O.; NÁVRAT, T. Optimizing Pre-Stress In Filament Winding For Enhanced Carbon-Fiber Reinforced Polymer Composite Sleeves In High-Speed PMSM Rotors. 26th International Conference Applied Mechanics 2025 Conference Proceedings. ISBN: 978-80-87434-11-6.
[citace_html] => PAVLÍK, O.; NÁVRAT, T. Optimizing Pre-Stress In Filament Winding For Enhanced Carbon-Fiber Reinforced Polymer Composite Sleeves In High-Speed PMSM Rotors. 26th International Conference Applied Mechanics 2025 Conference Proceedings. ISBN: 978-80-87434-11-6.
[citace_rtf] =>
[citace_bibtex] => @misc{BUT200929,
author="Ondřej {Pavlík} and Tomáš {Návrat}",
title="Optimizing Pre-Stress In Filament Winding For Enhanced Carbon-Fiber Reinforced Polymer Composite Sleeves In High-Speed PMSM Rotors",
booktitle="26th International Conference Applied Mechanics 2025 Conference Proceedings",
isbn="978-80-87434-11-6",
note="Abstract"
}
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[poznamka_metriky] =>
[nazev_en] => Optimizing Pre-Stress In Filament Winding For Enhanced Carbon-Fiber Reinforced Polymer Composite Sleeves In High-Speed PMSM Rotors
[popis_en] => This research investigates the optimization of filament winding pre-stress for Carbon Fiber Reinforced Polymer (CFRP) retaining sleeves used in high-speed Permanent Magnet Synchronous Motors (PMSM). The study utilized numerical simulations in ANSYS Workbench to define load parameters, followed by the manufacturing and destructive tensile testing of 11 composite specimens with winding tensions ranging from 5 to 30 kg. Using Digital Image Correlation (DIC) for analysis, the results demonstrated that optimal pre-stress significantly improves manufacturing repeatability. While average tensile strength increased marginally (4%), the statistical deviation was reduced to approximately one-third of the original range, establishing a reliable strength limit within a 95% confidence interval.
[klicova_slova_en] => High-speed PMSM, Rotor Design, Carbon Fiber Reinforced Polymer, CFRP, Filament
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)
[8] => Array
(
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[nazev] => Konstrukce míchacího zařízení pro ekologická dextrinová lepidla
[nazev_orig] => Konstrukce míchacího zařízení pro ekologická dextrinová lepidla
[duvernost_udaju_id] => C
[popis] => Předmětem výsledku je funkční prototyp míchacího zařízení určeného pro přípravu ekologických dextrinových lepidel. Konstrukční řešení je výsledkem srovnávacího výzkumu mezi hydrodynamickým a mechanickým mícháním, na jehož základě byla zvolena a optimalizována technologie mechanického míchání pomocí hřídele s propelery.
Tvar míchací nádoby a rozmístění prvků byly navrženy na základě CFD simulací (Computational Fluid Dynamics) s cílem eliminovat mrtvé zóny a zajistit maximální homogenitu směsi bez vzniku hrudek, což bylo ověřeno experimentálně.
[popis_orig] => Předmětem výsledku je funkční prototyp míchacího zařízení určeného pro přípravu ekologických dextrinových lepidel. Konstrukční řešení je výsledkem srovnávacího výzkumu mezi hydrodynamickým a mechanickým mícháním, na jehož základě byla zvolena a optimalizována technologie mechanického míchání pomocí hřídele s propelery.
Tvar míchací nádoby a rozmístění prvků byly navrženy na základě CFD simulací (Computational Fluid Dynamics) s cílem eliminovat mrtvé zóny a zajistit maximální homogenitu směsi bez vzniku hrudek, což bylo ověřeno experimentálně.
[klicova_slova] => Dextrinové lepidla, Míchačka, Automatizace, Ekologie
[klicova_slova_orig] => Dextrinové lepidla, Míchačka, Automatizace, Ekologie
[url] =>
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[vycet_osob] => VLACH, R.; ŠTIGLER, J.; GREPL, R.; HABÁN, V.; FORMÁNEK, M.; ŠULC, M.; VAŘEJKA, Z.; ČERVINKA, P.; SOUŠEK, M.; VAŘEJKA, P.
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[druh_popis] => Prototyp
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[vysledek_stav_id] => 3
[vlozil] => Formánek Martin
[upravil] => Grepl Robert
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[citace_text] => VLACH, R.; ŠTIGLER, J.; GREPL, R.; HABÁN, V.; FORMÁNEK, M.; ŠULC, M.; VAŘEJKA, Z.; ČERVINKA, P.; SOUŠEK, M.; VAŘEJKA, P.: Konstrukce míchacího zařízení pro ekologická dextrinová lepidla. (Prototyp)
[citace_html] => VLACH, R.; ŠTIGLER, J.; GREPL, R.; HABÁN, V.; FORMÁNEK, M.; ŠULC, M.; VAŘEJKA, Z.; ČERVINKA, P.; SOUŠEK, M.; VAŘEJKA, P.: Konstrukce míchacího zařízení pro ekologická dextrinová lepidla. (Prototyp)
[citace_rtf] =>
[citace_bibtex] => @misc{BUT200952,
author="Radek {Vlach} and Jaroslav {Štigler} and Robert {Grepl} and Vladimír {Habán} and Martin {Formánek} and Michael {Šulc} and Zdeněk {Vařejka} and {} and {} and {} and {}",
title="Konstrukce míchacího zařízení pro ekologická dextrinová lepidla",
year="2026",
note="Prototype"
}
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[poznamka_metriky] =>
[nazev_en] => Construction of Mixing Equipment for Eco-friendly Dextrin Adhesives
[popis_en] => The subject of the result is a functional prototype of a mixing device designed for the preparation of eco-friendly dextrin adhesives. The design solution is the outcome of comparative research between hydrodynamic and mechanical mixing, based on which mechanical mixing technology using a propeller shaft was selected and optimized.
The shape of the mixing vessel and the arrangement of its components were designed based on CFD (Computational Fluid Dynamics) simulations with the aim of eliminating dead zones and ensuring maximum mixture homogeneity without lump formation, which was subsequently verified experimentally.
[klicova_slova_en] => Dextrin Adhesives, Mixer, Automation, Eco-friendly
[vysledek_datum] => 2026-02-06T00:00:00+01:00
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(
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[nazev] => Performance Optimization of CFRP Retaining Sleeve for Rotors via Controlled Filament Winding Pre-Stress: Experimental Approach
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[popis_orig] => This paper investigates the effect of controlled pre-stress applied during the filament winding of carbon fiber reinforced polymer (CFRP) retaining sleeves, intended for high-speed permanent magnet synchronous machine (PMSM) rotors. Using pre-preg unidirectional carbon fibers, a set of test specimens was fabricated under varying tension loads to simulate realistic rotor conditions. Tensile tests, supported by digital image correlation (DIC), were performed to evaluate strain distribution and mechanical integrity. The results demonstrate a clear correlation between the applied pre-stress and enhanced strength, stiffness, and homogeneity of the CFRP structure. The findings contribute to better material utilization and rotor durability in demanding application, while mitigating the risk of critical failure scenarios during rotor operation.
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[citace_text] => PAVLÍK, O.; NÁVRAT, T.; CABAJ, G.; VAJDÁK, M. Performance Optimization of CFRP Retaining Sleeve for Rotors via Controlled Filament Winding Pre-Stress: Experimental Approach. In EAN 2025 - 63rd Conference on Experimental Stress Analysis Proceedings of Full Papers. Studentská 1402/2, Liberec: Technical University of Liberec, 2025. p. 116-123. ISBN: 978-80-7494-763-6.
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[popis] => Super duplex stainless steels (SDSSs) can be effectively fabricated via Laser Powder Bed Fusion (LPBF), yet achieving the necessary phase balance remains a critical metallurgical challenge. The rapid solidification rates inherent to the LPBF process typically result in a predominantly ferritic microstructure. Since CSL boundaries-specifically high-symmetry & sum;3 twins-form preferentially in the austenite phase, achieving a high fraction of these boundaries in the ferritic as-built LPBF state remains a significant challenge. To address this limitation, we implemented a feedstock modification strategy by mechanically blending 2507 SDSS powder with 3 and 6 wt.% elemental nickel prior to LPBF processing. The microstructural evolution, phase distribution, and boundary character were comprehensively evaluated using Electron Backscatter Diffraction (EBSD). Analysis revealed that the addition of nickel did not compromise densification, with all samples achieving relative densities exceeding 99.2%. While the base alloy remained 98.5% ferritic, the addition of 6 wt.% Ni successfully promoted the formation of approximately 31.1 wt.% austenite, characterized by intragranular laths formed via a massive-like transformation mechanism6. Crucially, despite the theoretical increase in Stacking Fault Energy (SFE) associated with high nickel content, the restored austenite phase exhibited a significant fraction of high-symmetry CSL & sum;3 twin boundaries (rising to 7.05%). These findings demonstrate that compositional modification can overcome the kinetic limitations of the LPBF process, facilitating the development of a favorable Grain Boundary Character Distribution (GBCD).
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[quotations] => CHEN, C.; CHEN, K.; VĚCHET, S.; GUO, Y.
[title] => An Integrated LCD Quality Assessment Flow based on the Integration of Image Processing, Ergonomics, and Machine Learning
[typ] => PV
[year] => 2024
[id_vav] => 200913
)
[3] => Array
(
[quotations] => CHIANG, C.; HUANG, Z.; YANG, P.; CHENG, Y.; GUO, Y.; CHEN, K.; VĚCHET, S.
[title] => Development of Microcontroller-Based Status Monitoring System for Diagnosis and Prognosis of Smart Factory
[typ] => PV
[year] => 2024
[id_vav] => 200914
)
[4] => Array
(
[quotations] =>
[title] => 2024 SICE Festival with Annual Conference, SICE FES 2024
[typ] => EV
[year] => 2024
[id_vav] => 200915
)
[5] => Array
(
[quotations] => VAJDÁK, M.; POPELKA, M.; HURNÍK, Š.; NÁVRAT, T.; POKORNÝ, J.; PAVLÍK, O.
[title] => Prototyp plynem mazaného ložiska
[typ] => AV
[year] => 2025
[id_vav] => 200916
)
[6] => Array
(
[quotations] => VAJDÁK, M.; POPELKA, M.; HURNÍK, Š.; NÁVRAT, T.; POKORNÝ, J.; PAVLÍK, O.
[title] => Užitný vzor plynem mazaného ložiska
[typ] => AV
[year] => 2025
[id_vav] => 200918
)
[7] => Array
(
[quotations] => PAVLÍK, O.; NÁVRAT, T.
[title] => Optimizing Pre-Stress In Filament Winding For Enhanced Carbon-Fiber Reinforced Polymer Composite Sleeves In High-Speed PMSM Rotors
[typ] => PV
[year] =>
[id_vav] => 200929
)
[8] => Array
(
[quotations] => VLACH, R.; ŠTIGLER, J.; GREPL, R.; HABÁN, V.; FORMÁNEK, M.; ŠULC, M.; VAŘEJKA, Z.; ČERVINKA, P.; SOUŠEK, M.; VAŘEJKA, P.
[title] => Konstrukce míchacího zařízení pro ekologická dextrinová lepidla
[typ] => AV
[year] => 2026
[id_vav] => 200952
)
[9] => Array
(
[quotations] => PAVLÍK, O.; NÁVRAT, T.; CABAJ, G.; VAJDÁK, M.
[title] => Performance Optimization of CFRP Retaining Sleeve for Rotors via Controlled Filament Winding Pre-Stress: Experimental Approach
[typ] => PV
[year] => 2025
[id_vav] => 200963
)
[10] => Array
(
[quotations] => Przemysław Snopinski, Beatrice Ardayfio, Mengistu Dagnaw, Mariusz Król, Michal Kotoul Zbigniew Brytan
[title] => Effect of Ni Addition on the Phase Balance and Grain Boundary Character Distribution in 2507 Super Duplex Stainless Steel Fabricated via LPBF
[typ] => PV
[year] => 2026
[id_vav] => 200973
)
[11] => Array
(
[quotations] => GREPL, R.; APPEL, M.; GAJZLER, V.; KLIMEŠ, D.; OPLUŠTIL, V.
[title] => Control unit for aircraft engine dosator
[typ] => AV
[year] => 2025
[id_vav] => 200998
)
)
)