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Institution

Münster University of Applied Sciences

EducationMünster, Germany
About: Münster University of Applied Sciences is a education organization based out in Münster, Germany. It is known for research contribution in the topics: Luminescence & Laser. The organization has 694 authors who have published 1067 publications receiving 12597 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, a robust mobile test rig for turbo-shaft micro gas turbines was developed and validated using a thermal measurement approach, which circumvents any issues associated with high voltage and electric current levels.
Abstract: It is widely considered that micro gas turbines are potential devices for future energy needs. However, many micro gas turbine development projects have failed, particularly those with a very low power level below 10 kW. The financial and experimental capabilities for micro gas turbine development projects are typically extremely limited; hence there is a need for low cost mobile test rigs. To close this gap, a robust mobile test rig for turbo-shaft micro gas turbines was developed and validated. The shaft power can be determined using a thermal measurement approach. This circumvents any issues associated with high voltage and electric current levels. The shaft power can be obtained by a straightforward parameter identification procedure based on simple temperature measurements. This approach is feasible because an analytical expression for the transient temperature field can be obtained. The test rig and thermal power measurement concept were fully validated with a commercial micro gas turbine; good agreement was obtained between the experimental results and the theoretical process data.Copyright © 2012 by ASME

5 citations

Book ChapterDOI
13 Sep 2008
TL;DR: The novel intrinsic system model is introduced for the genetic algorithm with α-selection and the corresponding unique fixed point is determined and it is shown that this model is compatible with the equivalence relation imposed by schemata.
Abstract: Genetic algorithms are random heuristic search RHS algorithms which can be theoretically described with the help of a dynamical system model. This model characterises the stochastic trajectory of a population using a deterministic heuristic function and its fixed points. For practical problem sizes the determination of the fixed points is unfeasible even for the simple genetic algorithm SGA. In this paper the novel intrinsic system model is introduced for the genetic algorithm with α-selection and the corresponding unique fixed point is determined. It is shown that this model is compatible with the equivalence relation imposed by schemata. In addition to the theoretical analysis experimental results are presented which confirm the theoretical predictions.

5 citations

Journal ArticleDOI
TL;DR: In this article, the authors focus on the durchzufuhrende Kalibrierung der Mesgerate am Einsatzort zu nennen, die die Grundlage der Mesgenauigkeit bildet.
Abstract: Der vorliegende Beitrag befast sich mit dem Einflus von zerstorungsfreien Prufmethoden zur Bestimmung der Tunnelinnenschalendicke und der Auswertung eines auf einer Baustelle durchgefuhrten Untersuchungsprogramms. Die Bandbreite der Untersuchungen bilden dabei an drei Tunnelblocken unterschiedlich eingesetzte Mesverfahren und ihre jeweilige spezifische Eignung, verschiedene Mesteams sowie unterschiedliche Mesraster, die jeweils vor und nach der Firstspaltverpressung zum Einsatz kamen und analysiert wurden. Als wichtiger Parameter zum Einflus der Mesqualitat ist hierbei die durchzufuhrende Kalibrierung der Mesgerate am Einsatzort zu nennen, die die Grundlage der Mesgenauigkeit bildet. Weiterhin konnte die Qualitat bzw. der Erfolg der durchgefuhrten Firstspaltverpressung mittels eines Injektionsgutes in den Messungen nicht zweifelsfrei bestatigt werden und wurde daher zusatzlich durch Kernbohrungen und endoskopische Aufnahmen uberpruft. Mit den daraus gewonnen Erkenntnissen werden wesentliche Aspekte und Empfehlungen aufgefuhrt, die im Umgang mit den zerstorungsfreien Prufmethoden zur Dickenbestimmung einer Tunnelschale zu beachten sind und in zukunftige Projekte einfliesen sollten.

5 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a digital innovation process for services model which includes steps on three levels, including service innovation, digital innovation, and digital process development, focusing on service and digital innovation.

5 citations

Book ChapterDOI
01 Jan 2015
TL;DR: In this article, the requirements of the internal environment regarding university-business cooperation (UBC) are analyzed and optimized, and two practice cases are discussed to derive indicators for a better exploitation of unused knowledge and technology transfer (KTT) support potential of TTOs.
Abstract: This chapter aims at analyzing and optimizing the requirements of the internal environment regarding university-business cooperation (UBC). It focuses on university Technology Transfer Offices (TTOs), intermediate organizations embedded within the university environment. They support knowledge and technology transfer (KTT) activities, particularly the commercialization of research-based products. TTOs are supposed to accelerate and facilitate KTT from science into business practice. Although literature on university research commercialization highlights the relevance of transfer support by TTOs, empirical studies and KTT practice show that TTO services are used rather sparsely. Based on theoretical considerations and results of recent empirical studies on KTT, this chapter discusses two practice cases to derive indicators for a better exploitation of unused KTT support potential of TTOs. The results show that personal engagement aimed at a marketing service provider philosophy emerges as the key factor for fostering and intensifying cooperation between researchers and TTOs.

5 citations


Authors

Showing all 729 results

NameH-indexPapersCitations
Jürgen Rehm1261132116037
Matthias Wessling8467426409
Rob G.H. Lammertink421786678
Thomas Jüstel403118476
Dimitrios Stamatialis401645305
Fritz Titgemeyer35513891
J. M. Ohlert33652706
Ralf Möller332155232
Helmut Maurer32893108
Stefan Klein26811966
Evgeny L. Gurevich26961865
Ulrich Kynast231201925
Aime Cambon222161938
Jacques Greiner22911267
Yves-Alexandre de Montjoye22594440
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
202241
202190
2020100
201980
201886