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Faculty of Mechanical Engineering and Economic Sciences (3000)
Graz University of Technology (90000)
Phone
0316 / 873-7113, 7611, 7111, 7114 u. 7116
Email
dekanat.mbww@tugraz.at
Website
http://www.maschinenbau.tugraz.at
primary organisation address
Show on map
8010
Inffeldgasse 23
Graz
Austria
Overview
Fingerprint
Network
Persons
(598)
Research Outputs
(12372)
Activities
(5364)
Prizes
(333)
Press / Media
(400)
Projects
(2066)
Research output
Research output per year
1949
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
3557
Conference paper
2840
Article
1346
(Old data) Lecture or Presentation
954
Commissioned report
3675
More
849
Other report
523
Poster
427
Chapter
345
Diploma Thesis
317
Paper
250
Doctoral Thesis
217
Book
153
Patent
115
Conference article
100
Anthology
76
Abstract
76
Editorial
49
Master's Thesis
41
Habilitation
35
Website / Web publication
21
Bachelor's Thesis
18
Review article
18
Other contribution
13
Lecture notes
6
Other chapter contribution
5
Comment/debate
5
Brochure
3
Preprint
3
Working paper
2
Foreword/postscript
2
Data set/Database
2
Digital or Visual Products
1
Scholarly edition
1
Letter
1
Special issue
1
Discussion paper
Research output per year
Research output per year
3 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Filter
Preprint
Search results
2021
Capabilities and Limitations of 3D-CFD Simulation of Anode Flow Fields of High-Pressure PEM Water Electrolysis
Haas, C.
,
Trattner, A.
,
Macherhammer, M-G.
&
Klopcic, N.
,
2021
, (Preprints - the Multidisciplinary Platform).
Research output
:
Working paper
›
Preprint
Open Access
Electrolysis
100%
Anodes
83%
Flow fields
72%
Computational fluid dynamics
65%
Water
46%
Problems with Risk Matrices Using Ordinal Scales
Krisper, M.
,
7 Mar 2021
,
11 p.
(arXiv.org e-Print archive).
Research output
:
Working paper
›
Preprint
Open Access
File
Risk assessment
100%
Uncertainty
32%
2020
Root Cause Analysis in Lithium-Ion Battery Production with FMEA-Based Large-Scale Bayesian Network
Kirchhof, M.
,
Haas, K.
,
Kornas, T.
,
Thiede, S.
,
Hirz, M.
&
Herrmann, C.
,
5 Jun 2020
,
18 p.
Research output
:
Working paper
›
Preprint
File
Lithium-ion batteries
100%
Bayesian networks
95%
Failure modes
81%
Knowledge acquisition
27%
Failure analysis
20%