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Investigation into the Computational Analysis of High–Speed Microjet Hydrogen–Air Diffusion Flames
No full textHigh-speed microjet hydrogen–air diffusion flames are investigated computationally. The focus is on the prediction of the so-called bottleneck phenomenon. The latter has been previously observed as a specific feature of the present flame class and has not yet been investigated computationally. In the configuration under consideration, the nozzle diameter is 0.5 mm and six cases with mean nozzle injection velocities (U) between 306 m/s and 561 m/s are considered. The flow in the nozzle lance is analyzed separately to obtain detailed inlet boundary conditions for the flame calculations. It is confirmed by calculation that the phenomenon is mainly determined by the transition to turbulence in the initial parts of the free jet. The transitional turbulence proves to be the biggest challenge in predicting this class of flames, as the generally available turbulence and turbulent combustion models reach the limits of their validity in transitional flows. In a Reynolds-Averaged Numerical Simulation framework, the Shear Stress Transport model is found to perform better than alternative two-equation models and is used as the turbulence model. By neglecting the interactions between the turbulence and chemistry (no-model approach), it is possible to predict the morphology of the bottleneck flame and its dependence on U qualitatively. However, the position of the bottleneck is overpredicted for U < 561 m/s. The experimental flames in the considered U range are all attached to the nozzle. This is also predicted by the no-model approach. The Eddy Dissipation Concept (EDC) used as the turbulence combustion model predicts, however, lifted flames (with increasing lift-off height as U decreases). With the EDC, no bottleneck morphology is observed for U = 561 m/s. For lower U, the EDC results for the bottleneck position are generally closer to the measurements. It is demonstrated that accuracy in predicting the bottleneck position can be improved by ad hoc modifications of the turbulent viscosity
Generative Logic: Teaching Prolog as Generative AI in Art and Design
No full textThis paper introduces a method for teaching Prolog, especially to BA and MA students in art and design faculties. The method is called Exploring Generative Logic (EGL). The method is based on the concept of Generative Logic. Both methods are under development at the Faculty of Design, HSD, University of Applied Sciences, Düsseldorf. The basic idea of teaching Prolog with EGL is to present Prolog not as “another” programming language, but primarily as a logic AI. This perspective helps beginners gain a clear view of how Prolog works and focuses on understanding Prolog as a powerful generative AI, making it highly attractive in the domain of art and design. The author assumes that the EGL method can be easily adapted to other educational settings: education of non-programmers of all ages, including children in elementary or secondary schools, as well as students in other non-STEM curricula, to develop skills in logical thinking, digital literacy, AI literacy, and artistic literacy. The paper is divided into two parts: Part one provides an introduction to the basic ideas and objectives of the teaching method. Part two offers a description of the teaching method
Indoor environmental quality assessment in passively ventilated classrooms in Germany and estimation of ventilation energy losses
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Remake of the low cost carbon dioxide sensor of the carbon dioxide network deployed by INVOLCAN in the urban areas of Puerto Naos and La Bombilla, La Palma, Canary Islands
No full textAn anomalous CO2 degassing appeared by the end of Tajogaite eruption (North-West flank of Cumbre Vieja volcano ridge, La Palma, Canary Islands), in the neighborhoods of La Bombilla and Puerto Naos at about 6 km distance from the volcanic vent. The areas affected by the anomalous CO2 degassing were not directly affected by lava flows during the eruptive period. After the eruption, and due to this strong volcanic-hydrothermal carbon dioxide emissions (CO2 5-20%) were included in the exclusion zone. CO2 is an invisible toxic gas, as well as asphyxiating, and may be lethal when is present in concentrations higher than 14%. During the post-eruptive period, INVOLCAN deployed its own indoor and outdoor CO2 monitoring networks in collaboration with other institutions, with the aim of delimitating the anomalous CO2 degassing areas, paying attention to those areas where CO2 air concentration exceeds hazardous thresholds. The number of monitoring stations were increasing to cover most of the homes, garages, basements, and local businesses. The first monitoring network were based on a LILYGO; TTGO T-SIM7000G electroniccard, previously programmed with an unstable algorithm that caused problems during the measurements. After some implementations to enhance the stability of the sensor, a new algorithm was developed that consists of the acquisition of ambient values every 5 seconds, applying a Moving Average Filter in every measurement to avoid outliers. The SIM card integrated in the hardware allows the data transmission to an MQTT broker where the values are published every 5 minutes, recollecting them in a unique Raspberry Pi 4 Model B located at the INVOLCAN headquarters, that reads and stores the data in two databases (InfluxDB and Google Sheets). The visualization of the values are done through Grafana Cloud, recollecting the data from InfluxDB and showing them distributed as tables and a geographic map that illustrates the concentration in the measurement points. The difference between this and the last storing is the flexibility when visualizing the data, that can be transformed to different kind of plots as mentioned. Moreover, an API for the management of each subsystem is created using PyQT, allowing to the user the calibration of the sensors in remote, as well as executing a soft reboot, or the integration of deeper parameters like the sensor mode (manual polling, streaming or command mode) or pressure data. Two of the 20 devices have been successfully installed and they are working correctly in La Palma, meanwhile an amount of 18 devices are being tested and recollecting properly with better stability in CO2 concentration measurements at our laboratory and will be installed indoor in different locations soon. The remaking of the algorithm allows to forget previous problems of wrong data and disconnections, obtaining accurate data compared to commercial sensors and helping the operator to configure and control the sensors without moving to conflicting locations
992 - Zweite Satzung zur Änderung der Prüfungsordnung für den Masterstudiengang Exhibition Design an der Hochschule Düsseldorf vom 16.12.2024
No full textAufgrund 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 Ordnung als Satzung erlassen
Veränderung der Marketing-Berufsbilder durch KI: Nachwuchswissenschaftliche Impulse
No full textDer Sammelband präsentiert die Ergebnisse studentischer Arbeiten aus dem Modul "Multimediamanagement" im Master-Studiengang "Kommunikations-, Multimedia- und Marktmanagement". Im Fokus steht die Untersuchung des Status Quo sowie der Auswirkungen generativer KI auf zentrale Berufsbilder im Marketing, wie Social Media Manager, E-Mail-Marketing-Manager, Projektmanager im Marketing und PR-Manager. Basierend auf Inhaltsanalysen von Stellenanzeigen und Interviews mit Praktikern werden aktuelle Anforderungen und Entwicklungen aufgezeigt. Die Ergebnisse verdeutlichen, dass KI alle untersuchten Berufsfelder beeinflusst, jedoch in unterschiedlichem Ausmaß: Während Tätigkeiten wie Social Media und E-Mail-Marketing bereits stark durch KI-Tools geprägt werden, zeigen sich im Projekt- und PR-Management bislang weniger umfassende Veränderungen. Der Sammelband bietet nicht nur wissenschaftlich fundierte Einblicke, sondern auch wertvolle Impulse für die Weiterentwicklung der Marketingbranche.The anthology presents the results of student research conducted within the "Multimedia Management" module of the Master's program in "Communication, Multimedia, and Market Management." It focuses on examining the current state and the impact of generative AI on key marketing job profiles, such as social media managers, email marketing managers, project managers in marketing, and PR managers. Based on content analyses of job postings and interviews with practitioners, the anthology highlights current requirements and trends. The findings demonstrate that AI affects all the examined fields to varying degrees: while roles like social media and email marketing are already significantly shaped by AI tools, project and PR management have so far experienced less extensive transformations. This anthology offers not only scientifically grounded insights but also valuable contributions to the future development of the marketing industry
Transition Flow Heat Transfer and Pressure Drop in a Uniformly Heated Inclined Solar Air Heater Fitted with Wavy Tapes
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