TY  - JOUR
A1  - Gossmann, Matthias
A1  - Thomas, Ulrich
A1  - Horváth, András
A1  - Dragicevic, Elena
A1  - Stoelzle-Feix, Sonja
A1  - Jung, Alexander
A1  - Raman, Aravind Hariharan
A1  - Staat, Manfred
A1  - Linder, Peter
T1  - A higher-throughput approach to investigate cardiac contractility in vitro under physiological mechanical conditions
JF  - Journal of Pharmacological and Toxicological Methods
Y1  - 2020
U6  - http://dx.doi.org/10.1016/j.vascn.2020.106843
VL  - 105
IS  - Article 106843
PB  - Elsevier
CY  - New York, NY
ER  - 
TY  - JOUR
A1  - Köhler, Klemens
T1  - A conflict theory perspective of IT attacks – consequences for IT security education
N2  - Cyberspace is "the environment formed by physical and non-physical components to store, modify, and exchange data using computer networks" (NATO CCDCOE). Beyond that, it is an environment where people interact. IT attacks are hostile, non-cooperative interactions that can be described with conflict theory. Applying conflict theory to IT security leads to different objectives for end-user education, requiring different formats like agency-based competence developing games.
Y1  - 2020
IS  - Preprint
ER  - 
TY  - CHAP
A1  - Finger, Felix
A1  - de Vries, Reynard
A1  - Vos, Roelof
A1  - Braun, Carsten
A1  - Bil, Cees
T1  - A comparison of hybrid-electric aircraft sizing methods
T2  - AIAA Scitech 2020 Forum
Y1  - 2020
U6  - http://dx.doi.org/10.2514/6.2020-1006
N1  - AIAA Scitech 2020 Forum, Driving aerospace solutions for global challenges, Orlando, 06. - 10. January 2020
ER  - 
TY  - JOUR
A1  - Kreyer, Jörg
A1  - Müller, Marvin
A1  - Esch, Thomas
T1  - A Calculation Methodology for Predicting Exhaust Mass Flows and Exhaust Temperature Profiles for Heavy-Duty Vehicles
JF  - SAE International Journal of Commercial Vehicles
N2  - The predictive control of commercial vehicle energy management systems, such as vehicle thermal management or waste heat recovery (WHR) systems, are discussed on the basis of information sources from the field of environment recognition and in combination with the determination of the vehicle system condition.
In this article, a mathematical method for predicting the exhaust gas mass flow and the exhaust gas temperature is presented based on driving data of a heavy-duty vehicle. The prediction refers to the conditions of the exhaust gas at the inlet of the exhaust gas recirculation (EGR) cooler and at the outlet of the exhaust gas aftertreatment system (EAT). The heavy-duty vehicle was operated on the motorway to investigate the characteristic operational profile. In addition to the use of road gradient profile data, an evaluation of the continuously recorded distance signal, which represents the distance between the test vehicle and the road user ahead, is included in the prediction model. Using a Fourier analysis, the trajectory of the vehicle speed is determined for a defined prediction horizon.
To verify the method, a holistic simulation model consisting of several hierarchically structured submodels has been developed. A map-based submodel of a combustion engine is used to determine the EGR and EAT exhaust gas mass flows and exhaust gas temperature profiles. All simulation results are validated on the basis of the recorded vehicle and environmental data. Deviations from the predicted values are analyzed and discussed.
Y1  - 2020
U6  - http://dx.doi.org/10.4271/02-13-02-0009
SN  - 1946-3928
VL  - 13
IS  - 2
SP  - 129
EP  - 143
PB  - SAE International
CY  - Warrendale, Pa.
ER  -