Chemie Ingenieur Technik最新文献

Model-based process design and operation involves here-and-now and wait-and-see decisions. Here-and-now decisions include design variables like the size of heat exchangers or the height of distillation columns, whereas wait-and-see decisions are directed towards operational variables like reflux and split ratios. In this contribution, we describe how to deal with these different types of decisions in a multicriteria framework, offering an adjustability for the wait-and-see variables while at the same time respecting optimality guarantees on process key performance indicators (KPIs).

Phenol is an important chemical commodity utilized for several applications (e.g., polycarbonates, epoxy and phenolic resins, nylon). Its production starts from benzene and propylene and is based on a series of reaction steps. Among them the acid cleavage of cumyl hydroperoxide is characterized by the high reaction rate of the main reaction, together with a number of side reactions. During the 1980s a thorough kinetic study has been carried out by the researchers of Montedipe S.p.A. This activity led to the development of a comprehensive kinetic model including 14 differential equations and 15 parameters, then utilized for process operations and unit design. A review of the strategy adopted for the experimental activities is provided along with a discussion on model identification and parameter estimation.a

Machine learning (ML) enables the development of powerful methods for predicting thermophysical properties, but technical barriers like cumbersome implementation in established workflows hinder their application in practice. With MLPROP, we provide a web interface to predict thermophysical properties with advanced ML methods. MLPROP includes models for predicting the vapor pressure of pure components (GRAPPA), activity coefficients and vapor-liquid equilibria in binary mixtures (UNIFAC 2.0, mod. UNIFAC 2.0, and HANNA), and a routine to fit NRTL parameters to the model predictions. MLPROP will be continuously updated and extended and is accessible via https://ml-prop.mv.rptu.de/. The source code of all models is available as open source, which allows integration into existing workflows.

An integrative resource efficiency management approach supports small and medium-sized enterprises (SMEs) in the chemical industry in systematically embedding resource efficiency and circular economy principles. A structured management approach combined with a central responsibility is a key success factor. A digital platform, a practical evaluation model, and technology scouting further facilitate implementation. Further responsibilities in the individual company departments, data availability, and goal tracking are specifically addressed, enabling companies to better exploit both ecological and economic potential.

Production key figures of mineral processing plants, often designed as circuits with recirculation of material, are subject to a high number of influencing factors. In order to set up plant operation in an optimal way, identifying factors with high significance is important. In this study, an artificial neural network is employed as an additional tool for such processing plant audits by means of feature importance analysis. The presented method is applicable independently of the specific plant design, wherever sufficient process data is available. Furthermore, specific outcomes of the analysis of an exemplary potash compaction circuit are discussed.

A Berty reactor modification is presented allowing kinetic investigations of catalyst plates or thin-film catalysts. Due to the narrow and defined spacing and high residence times, Da_II numbers below 0.001 can be achieved, excluding external mass transport. The reactor was tested in the methanol synthesis with wash-coated catalyst plates. Reaction parameters were varied over a large range proving the versatility of this system. The obtained activation energies for MeOH and CO formation are in good agreement with similar systems. At high pressures, the stirrer can homogenize the reaction mixture quite easily; above 500 rpm no effect of the stirrer on the performance can be observed. Even at ambient pressures, homogenization can be achieved, however, only at very high stirring speeds exceeding 4000 rpm.

Der Johannes Möller Preis 2025 wurde im Rahmen des Jahrestreffens der DECHEMA/VDI-Fachgruppen Agglomerations- und Schüttguttechnik sowie Trocknungstechnik in Friedrichshafen verliehen.

Herr Dr.-Ing. Malte Stodt erhielt die mit 5000 EUR dotierte Auszeichnung für seine Doktorarbeit zum Thema „Laser Diagnostics in Spray Flame Mixing Processes during the Synthesis of Metal Oxide Nanoparticles“, die er an der Universität Bremen verfasst hat. Sein Doktorvater ist Prof. Dr.-Ing. Udo Fritsching vom Fachbereich der Produktionstechnik – Particles & Process Engineering der Universität Bremen, Zweitgutachter war Prof. Dr.-Ing. Martin Sommerfeld von der Otto-von-Guericke-Universität Magdeburg.

Spezialanwendungen von Materialien wie in Batterien und Brennstoffzellen, in Gassensoren, in der Katalyse oder als Trägermaterialien in der Medizin und in Pflegeprodukten erfordern die gezielte Produktion von nanoskaligen Produkten mit definierter Partikelgröße, Kristallinität, Komposition, Morphologie etc. Insbesondere die Flammensprühpyrolyse eignet sich gut zur Herstellung maßgeschneiderter nanoskaliger Produkte und wird schon lange auch im industriellen Maßstab eingesetzt. Obwohl der Prozess der Flammensynthese technisch gut ausgereift ist und ein umfassendes empirisches Knowhow besteht, sind dennoch die chemo-physikalischen Prozessschritte derart komplex, dass die Mechanismen noch immer nicht vollständig verstanden sind.