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Nachstehend wird der Wortlaut der Prüfungsordnung für den Masterstudiengang „Simulations- und Experimentaltechnik“ an der Hochschule Düsseldorf vom 17.06.2021 (Verkündungsblatt der Hoch-schule Düsseldorf, Amtliche Mitteilung Nr. 786) unter ihrer neuen Überschrift neu bekannt gemacht. Die Neubekanntmachung berücksichtigt die Erste Satzung zur Änderung der Prüfungsordnung für den Masterstudiengang „Simulations- und Experimentaltechnik“ an der Hochschule Düsseldorf vom 02.03.2022 (Verkündungsblatt der Hochschule Düsseldorf, Amtliche Mitteilung Nr. 829) sowie die Zweite Satzung zur Änderung der Prüfungsordnung für den Masterstudiengang „Simulations- und Ex-perimentaltechnik“ an der Hochschule Düsseldorf vom 14.02.2024 (Verkündungsblatt der Hochschule Düsseldorf, Amtliche Mitteilung Nr. 915).
In the context of using renewable energies and recycling climate-changing gases, methanation of CO2 provides one possibility. However, volatile availability of renewable energies for hydrogen production and fluctuating CO2streams from different sources lead to enhanced demand in investigating the influence of dynamic process operation on the catalyst performance, including detailed kinetic characterization. Reliable kinetic measurements require isothermal temperature control and absence of macrokinetic diffusion limitations. Both were investigated in this work while the determination of steady-state kinetic parameters is part of ongoing studies. Furthermore, a detailed analysis with respect to the long-term-stability of the nickel-based catalyst was performed
Higher control engineering concepts, including artificial intelligence and model-based control, are recently becoming more popular in complex industrial applications because they enable a significant increase in efficiency. E.g., a model-based approach can be used to enhance the control and monitoring of several coupled components of a larger turbomachinery train. This requires dynamic models of the components, including all machine characteristics, which may experience a shift in their behavior over the course of their lifetime. Such changes occur due to natural fouling, wear of sub-components or external effects induced by maintenance measures. To overcome this problem, we model machine-characteristic maps with artificial neural networks, which may be used as part of prediction models in a model predictive control unit. If an appropriate data set is available, this allows us to adapt the model to the current behavior of the machine without requiring in-depth knowledge about the underlying physics of this “concept drift”, as it is known in literature. However, the training of neural networks is usually connected with high computational effort while the task needs to be executed in real-time during operation. Furthermore, in real operating conditions, machine sensors can only provide labeled data from the current operating point of the machine, which can be stationary for long operation periods of up to several months. In general, this yields only an unrepresentative data subset of the machine-characteristics, which is not sufficient to retrain the whole model to a new state. To solve these problems, we firstly reduce the model adaptation to a convex optimization problem, which can be efficiently solved in real-time conditions. Secondly, we use a specialized data management system with which we can integrate historical data to supplement the unrepresentative data subset. In this paper we show the application of the outlined method on a compressor map and discuss the advantages and requirements of the method in the context of modeling applications for industrial turbomachinery.
Process models in industrial applications, e.g. predictive maintenance or automation, are subject to both divergence from the underlying system due to their time-variant nature and to high complexity resulting from a wide operational range being covered. Hence, regression models require high accuracy for the present system state and at the same time need to be valid across the whole system operating space. While accuracy for the current system state can be gained by updating the model on the current data, the overall validity must often be retrieved from historical or design data. We propose a method to find an appropriate compromise for these two demands. A pre-trained artificial neural network (ANN) is continually updated on the current sensor data stream using convex optimisation. Thus, a unique and optimal solution is generated in each update step, while robust regression accuracy on the domain that is not covered by the arriving data subset is maintained. This is achieved by introducing a data management system to provide some historical data, constraining the optimisation problem and manipulating the architecture of the ANN. Models updated with this method show reasonable stability but display plastic behaviour at the current operating point.
A two-component system for control and monitoring of solar power towers with molten salt receivers is proposed. The control component consists of a model predictive control applica-tion (MPC) with a flexible objective function and on-line tunable weights, which runs on a In-dustrial PC and uses a reduced order dynamic model of the receiver’s thermal and flow dy-namics. The second component consists of a service-life monitoring unit, which estimates the service-life consumption of the absorber tubes depending on the current mode of operation based on thermal stresses and creep fatigue in the high temperature regime. The calculation of stresses is done based on a detailed finite element study, in which a digital twin of the re-ceiver was developed. By parallelising the model solver, the estimation of service-life con-sumption became capable of real-time operation. The system has been implemented at a test facility in Jülich, Germany, and awaits field experiments. In this paper, the modeling and archi-tecture are presented along simulation results, which were validated on a hardware-in-the-loop test bench. The MPC showed good disturbance rejection while respecting process variable constraints during the simulation studies.
A numerical study is carried out meticulously to scrutinize the impact of different shapes of chimneys like circular (outer dia, dc), convergent (outer dia, 0.5dc), divergent (outer dia, 1.5dc), sudden contraction (outer dia, 0.5dc), and sudden expansion (outer dia, 1.5dc) on the performance of an SCPP. Furthermore, the parametric impact with different chimney divergence angles (CDA, ϕ), and ground absorber slope angle (GSA, γ) on the SCPP performance is also scrutinized. Optimum divergence angle (ϕ=+0.75◦) enhances the power generation up to ~ 47% (76 kW) with a horizontal ground absorber surface. An increase or decrease in CDA lessens the power generation. With a sloped ground absorber angle γ=0.6◦, the gain in power generation is 60% (82 kW). The study of combination of ground sloped absorber (γ=0.6◦) and divergent chimney (ϕ=+0.75◦) shows enhancement of the power generation upto 80% (92 kW) more than the classical Manzaranes plant.
Nachstehend wird der Wortlaut der Rahmenprüfungsordnung für den Fachbereich Maschinenbau und Verfahrenstechnik an der Hochschule Düsseldorf vom 15.02.2016 (Verkündungsblatt der Hochschule Düsseldorf, Amtliche Mitteilung Nr. 423) neu bekannt gemacht. Die Neubekanntmachung berücksichtigt die Erste Satzung zur Änderung der Rahmenprüfungsordnung für den Fachbereich Maschinenbau und Verfahrenstechnik an der Hochschule Düsseldorf vom 07.06.2016 (Verkündungsblatt der Hochschule Düsseldorf, Amtliche Mitteilung Nr. 456), die Zweite Satzung zur Änderung der Rahmenprüfungsordnung für den Fachbereich Maschinenbau und Verfahrenstechnik an der Hochschule Düsseldorf vom 15.11.2018 (Verkündungsblatt der Hochschule Düsseldorf, Amtliche Mitteilung Nr. 635) sowie die Dritte Satzung zur Änderung der Rahmenprüfungsordnung für den Fachbereich Maschinenbau und Verfahrenstechnik an der Hochschule Düsseldorf vom 18.02.2021 (Verkündungsblatt der Hochschule Düsseldorf, Amtliche Mitteilung Nr. 738).
Aufgrund der §§ 2 Abs. 4 S. 1, 26 Abs. 3 S. 2 des Gesetzes über die Hochschulen des Landes Nord-rhein-Westfalen (Hochschulgesetz - HG) vom 16.09.2014 (GV. NRW. S. 547) in der aktuell gültigen Fassung und der Grundordnung der Hochschule Düsseldorf vom 08.10.2015 (Verkündungsblatt der Hochschule Düsseldorf, Amtliche Mitteilung Nr. 414) in der aktuell gültigen Fassung hat die Hoch-schule Düsseldorf die folgende Ordnung als Satzung erlassen.
The links between innovativeness as a driver of economic performance, and the determinants of innovativeness have been investigated by management scholars and economists for decades, focusing mostly on “hard factors” as investment in research and development, or education. Focusing on a relatively neglected, but in times of globalization even more important aspect, the infuence of cultural characteristics on innovativeness, we apply diferent econometric models to test for links between cultural tightness and looseness on the one hand, and national innovativeness on the other hand. We fnd that cultural tightness—in the sense of homogenous and intolerant societies—has a negative link to national innovativeness, while cultural looseness—in the sense of tolerant and diverse societies—displays a positive link to national innovativeness.
Computational investigation of oxy-combustion of pulverized coal and biomass in a swirl burner
(2022)
Magneto-hydrothermal triple-convection in a W-shaped porous cavity containing oxytactic bacteria
(2022)
Bioconvective heat and mass transport phenomena have recently been the subject of interest in diverse fields of applications pertaining to the motion of fluids and their thermophysical properties. The transport processes in a system involving triple convective phenomena, irregular geometry, and boundary conditions constitute a complex phenomenon. This work aims to explore the mixed thermo-bioconvection of magnetically susceptible fluid containing copper nanoparticles and oxytactic bacteria in a novel W-shaped porous cavity. The buoyant convention is generated due to the isothermal heating at the wavy bottom wall, whereas the mixed convection is induced due to the shearing motion of the top-cooled sliding wall. Furthermore, the bioconvection is induced due to the manifestation of oxytactic bacteria or organisms. The inclined sidewalls are insulated. The geometry is packed with water based Cu nanoparticle mixed porous structure, which is subjected to a magnetizing field acted horizontally. The complex transport equations are transformed into nondimensional forms, which are then computed using the finite volume-based developed code. The coupled triple-convective flow physics are explored for a wide range of involved controlling parameters, which could provide helpful insight to the system designer for its proper operation. The shape of geometry can be considered one of the important parameters to control the heat and mass transport phenomena. In general, the influence of amplitude (δ) is more compared to the waviness number (m) of the undulations. The magnitude of heat (Nu) and mass (Sh) transfer rate for the W-shaped cavity is high compared to conventional square and trapezoidal-shaped cavities. The output of the analysis could be very helpful for the designer for modeling devices operating on nanotechnology-based bioconvection, microbial fuel cells, and others.
In order to determine demand as precisely as possible, many businesses use several forecasting methods. The aim of forecasting is to determine future demand based on data from the past. The use of a specific method is not always easy and depends on a number of factors. To help prospective engineers find the most suitable forecasting method for a specific problem, a forecasting game was developed and then evaluated.
The paper describes the design and the evaluation of the forecasting game. In order to provide an overview of existing forecasting methods, the first part of the paper examined the mathematical fundamentals of eight different forecasting methods and outlined the requirements for their application.
The second part of the paper describes the creation of a forecasting game in which prospective engineers can learn how to determine the appropriate forecasting method for specific scenarios. In total, five scenarios covering the three different demand patterns (linear/stationary, trend and seasonal) as well as the forecast quality methods were developed and can be played through. For each scenario, the player has to choose the most appropriate forecasting method for a specific problem based on a self-created task description. To make the game as realistic as possible, a fictional company with a background story was designed.
The last part was about the evaluation of the forecasting game. For the evaluation, a student survey to gather the opinions of the students was conducted. The results of the student survey show an overall positive evaluation of the simulation game by the students. However, the test also showed that the game takes a certain amount of time. Since only 15 of the approximately 30 students who tested the game participated in the evaluation, the results are not significant.
Von Maschinenbau-Ingenieur*innen wird oft erwartet, innovative Produkte, Dienstleistungen oder Prozesse zu entwickeln und zu vermarkten. Das Ziel der vorliegenden Arbeit ist es herauszufinden, inwiefern sie bereits im Masterstudium Maschinenbau durch die Förderung von Kreativität und Entrepreneurship darauf vorbereitet werden. Um die Forschungsfrage zu beantworten, wurden die Modulhandbücher der zehn größten Universitäten sowie Fachhochschulen mithilfe einer Schlagwortsuche auf einschlägige Begriffe analysiert. Die Studie zeigt, dass deutsche Ingenieur*innen sowohl an Fachhochschulen als auch an Universitäten hinsichtlich Kreativität und Entrepreneurship eher unzureichend ausgebildet werden.
This paper investigates the implementation of a human body model for the simulation of a jumping motion in Simulink. It contains details to get an insight into modern biomechanics without previous experience. In the simulation, a Hill-Type muscle is used to generate joint momentum with a phenomenologically realistic relationship between muscle length and force. The simulation published with this article is one of many solutions to design a humanoid simulation. The paper guides through the implemented build and explains its range of application.
Aufgrund der §§ 2 Abs. 4, 64 Abs. 1 des Gesetzes über die Hochschulen des Landes Nordrhein-Westfalen (Hochschulgesetz - HG) vom 16.09.2014 (GV. NRW. S. 547) in der aktuell gültigen Fassung hat die Hochschule Düsseldorf die folgende studiengangspezifische Prüfungsordnung als Sat-zung erlassen. Diese Prüfungsordnung gilt nur in Verbindung mit der Rahmenprüfungsordnung des Fachbereichs Maschinenbau und Verfahrenstechnik der Hochschule Düsseldorf (RahmenPO) vom 15.02.2016 in der jeweils gültigen Fassung.
Aufgrund der §§ 2 Abs. 4, 64 Abs. 1 des Gesetzes über die Hochschulen des Landes Nordrhein-Westfalen (Hochschulgesetz - HG) vom 16.09.2014 (GV. NRW. S. 547) in der aktuell gültigen Fassung hat die Hochschule Düsseldorf die folgende studiengangspezifische Prüfungsordnung als Satzung erlas-sen. Diese Prüfungsordnung gilt nur in Verbindung mit der Rahmenprüfungsordnung des Fachbereichs Maschinenbau und Verfahrenstechnik der Hochschule Düsseldorf (RahmenPO) vom 15.02.2016 in der jeweils gültigen Fassung.
Aufgrund der §§ 2 Abs. 4, 64 Abs. 1 des Gesetzes über die Hochschulen des Landes Nordrhein-Westfalen (Hochschulgesetz - HG) vom 16.09.2014 (GV. NRW. S. 547) in der aktuell gültigen Fassung hat die Hochschule Düsseldorf die folgende studiengangspezifische Prüfungsordnung als Satzung erlas-sen. Diese Prüfungsordnung gilt nur in Verbindung mit der Rahmenprüfungsordnung des Fachbereichs Maschinenbau und Verfahrenstechnik der Hochschule Düsseldorf (RahmenPO) vom 15.02.2016 in der jeweils gültigen Fassung.
Aufgrund der §§ 2 Abs. 4, 64 Abs. 1 des Gesetzes über die Hochschulen des Landes Nordrhein-Westfalen (Hochschulgesetz - HG) vom 16.09.2014 (GV. NRW. S. 547) in der aktuell gültigen Fassung hat die Hochschule Düsseldorf die folgende studiengangspezifische Prüfungsordnung als Satzung erlassen. Diese Prüfungsordnung gilt nur in Verbindung mit der Rahmenprüfungsordnung des Fachbereichs Maschinenbau und Verfahrenstechnik der Hochschule Düsseldorf (RahmenPO) vom 15.02.2016 in der jeweils gültigen Fassung.