Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tim Pychynski"'
Publikováno v:
Aerospace, Vol 5, Iss 3, p 82 (2018)
Labyrinth seals are a state-of-the-art sealing technology to prevent and control leakage flows at rotor–stator interfaces in turbomachinery. Higher pressure ratios and the economical use of cooling air require small clearances, which lead to potent
Externí odkaz:
https://doaj.org/article/40dedf27214d4f54b771031535590d77
Autor:
Tim Pychynski
Die Optimierung dynamischer Dichtsysteme ist eine kostengünstige Methode zur Erhöhung der Wirkungsgrade, Lebensdauer und Betriebssicherheit von Turbomaschinen. Zuverlässige und effiziente Dichtsysteme lassen sich nur realisieren, wenn die Anstreif
Publikováno v:
Journal of Intelligent Manufacturing. 33:1139-1163
Digitalisation trends of Industry 4.0 and Internet of Things led to an unprecedented growth of manufacturing data. This opens new horizons for data-driven methods, such as Machine Learning (ML), in monitoring of manufacturing processes. In this work,
Publikováno v:
CIKM
Manufacturing of car bodies heavily relies on demanding welding processes of joining body parts together that introduce thousands of joining welding spots in each car. Quality monitoring for these spots impacts production efficiency and cost. In this
Autor:
Ahmet Soylu, Yulia Svetashova, Baifan Zhou, Evgeny Kharlamov, Tim Pychynski, Ildar R. Baimuratov
Publikováno v:
CIKM
Machine learning (ML) based data analysis has attracted an increasing attention in the manufacturing industry, however, many challenges hamper their wide spread adoption. The main challenges are the high costs of labour-intensive data preparation fro
Autor:
Stefan Schmidt, Ralf Mikut, Tim Pychynski, Yulia Svetashova, York Sure-Vetter, Baifan Zhou, Evgeny Kharlamov
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030624651
ISWC (2)
ISWC (2)
In the automotive industry, welding is a critical process of automated manufacturing and its quality monitoring is important. IoT technologies behind automated factories enable adoption of Machine Learning (ML) approaches for quality monitoring. Deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49184cc553a93601ffddb0dc7fcb16f6
https://doi.org/10.1007/978-3-030-62466-8_33
https://doi.org/10.1007/978-3-030-62466-8_33
Autor:
Corina Schwitzke, D. Hans-Jörg Bauer, A. Thiago P. de Carvalho, B. Tim Pychynski, A. Laura Cordes, B. Hervé P. Morvan
Publikováno v:
The Aeronautical Journal. 121:1147-1161
The results of extensive experimental testing of an aero-engine air-oil separator are presented and discussed. The study focuses on the pressure loss of the system. Oil enters the device in the form of dispersed droplets. Subsequently, separation occ
Publikováno v:
at - Automatisierungstechnik. 65:207-218
Zusammenfassung In diesem Beitrag wird DaMoQ vorgestellt, eine Erweiterung zur MATLAB-Toolbox SciXMiner, um die Datenqualität von Eingangsdaten für Regressionen zu bewerten. Bei SciXMiner handelt es sich um eine Open-Source-MATLAB-Toolbox zur autom
Publikováno v:
Volume 5C: Heat Transfer.
This paper presents results from an extensive experimental study on the rubbing behavior of labyrinth seal fins and a honeycomb liner. The objective of the present work is to improve the understanding of the rub behavior of labyrinth seals by quantif
Publikováno v:
Volume 5A: Heat Transfer.
The paper presents the setup of a conjugate heat transfer study of an annular conical gap, its validation and a parameter study. The main goal of the work is to identify effects of gap width and swirl ratio on the local and global heat transfer in th