Membranen in der Verfahrenstechnik

Membranes in chemical engineering . In the last 10 years membranes and membrane processes have evolved from a useful laboratory tool to an industrial product of significant technical and commercial impact. In some applications membrane processes have today not only replaced some conventional separation procedures in the chemical process industry, because they are often more economical and yield better quality products, but they have also successfully been utilized to solve mass separation problems where conventional procedures failed or are too expensive. This contribution discusses the state of the art of membranes and membrane processes as well as their major applications, with the main emphasis being placed on more recent developments.     

Vergleichende Analyse der thermischen Beanspruchungs intensitäten bei normativen Raumbrandversuchen

International existieren verschiedene genormte Raumbrandprüfungen, in welchen das Brandverhalten von Wand‐ und Deckenprodukten unter realitätsnahen Einbaubedingungen untersucht wird. Die Prüfmethoden unterscheiden sich zum Teil erheblich hinsichtlich der Raumgeometrie, der Ventilationsöffnungen bzw. ‐verhältnisse sowie der Art und Leistung der verwendeten Zündquellen. Auf der Basis von Brandsimulationsrechnungen mit dem CFD‐Code FDS wurde die Intensität der resultierenden thermischen Produktbeanspruchung für ausgewählte Prüfräume vergleichend analysiert. Die Simulationsergebnisse zeigen, dass zwischen den betrachteten Methoden deutliche Unterschiede bestehen, die zu inkonsistenten Produktbeurteilungen führen können. Comparative analysis of thermal exposure conditions in standard room fire tests. Various standards exist worldwide that describe room fire tests for determining the reaction to fire behaviour of wall and ceiling products under end‐use conditions. The test methods differ with respect to the room geometry, the ventilation conditions and the type and heat output of the ignition source. Numerical simulations were performed using the CFD code FDS to comparatively analyse the resulting thermal exposure conditions for selected test rooms. The simulation results exhibit considerable differences between the analysed test methods, which may lead to inconsistent product assessments.     

Robust algorithms for the solution of the ideal adsorbed solution theory equations

The ideal adsorbed solution (IAS) theory has been shown to predict reliably multicomponent adsorption for both gas and liquid systems. There is a lack of understanding of the conditions which guarantee convergence for various algorithms used to solve the IAS theory equations and inconsistencies are present in the reported computational effort required for the different approaches. The original nested loop and the FastIAS technique are revisited. The resulting system of equations is highly nonlinear but both methods are shown to be robust if appropriate choices are made for the starting values of the unknown variables. New initial conditions are proposed and the resulting algorithms are compared in a consistent manner with the main methods available to solve the IAS theory equations. The algorithms are extended for the first time to all nontype I isotherms. © 2014 American Institute of Chemical Engineers AIChE J, 61: 981–991, 2015     

Recognizing interleaved and concurrent activities using qualitative and quantitative temporal relationships

The majority of approaches to activity recognition in sensor environments are either based on manually constructed rules for recognizing activities or lack the ability to incorporate complex temporal dependencies. Furthermore, in many cases, the rather unrealistic assumption is made that the subject carries out only one activity at a time. In this paper, we describe the use of Markov logic as a declarative framework for recognizing interleaved and concurrent activities incorporating both input from pervasive lightweight sensor technology and common-sense background knowledge. In particular, we assess its ability to learn statistical-temporal models from training data and to combine these models with background knowledge to improve the overall recognition accuracy. We also show the viability and the benefit of exploiting both qualitative and quantitative temporal relationships like the duration of the activities and their temporal order. To this end, we propose two Markov logic formulations for inferring the foreground activity as well as each activities’ start and end times. We evaluate the approach on an established dataset where it outperforms state-of-the-art algorithms for activity recognition.     

Evaluation of rapeseed meals in broiler chicks: Effect of iodine supply and glucosinolate degradation by myrosinase or copper

In rapeseed meals (RSM) of a conventional (c) or a newly bred (n) variety 117 or 44 mmol glucosinolates and glucosinolate degradation products per kg dry matter were detected. Soaking meals in aqueous myrosinase or copper sulphate solution and subsequent drying reduced the content of antinutrients by more than 90%. Broiler chickens were fed (i) a glucosinolate-free diet, or this diet in which half the soybean meal was replaced by RSM of various origins and treatment; (ii) untreated cRSM; (iii) cRSM treated with myrosinase: (iv) cRSM treated with Cu (v) untreated nRSM; or (vi) nRSM treated with myrosinase. These diets were administered with or without supplementary iodine. Chickens receiving the iodine-deficient diets with myrosinase-treated RSM showed growth depression, incomplete feathering, leg injuries and severe goitre. In the serum T⁴ could not be detected. Giving myrosinase-treated RSM plus iodine, or giving other RSM diets irrespective of iodine administration, no growth depression was observed. RSM diets without iodine dosage markedly increased thyroid weight: there were no differences between the RSM variants. In contrast to the treatment with myrosinase, in the sera of the chickens fed on untreated RSM or RSM treated with copper T⁴ could be detected, suggesting that in iodine-deficient conditions differences in serum T⁴ concentration between RSM groups indicate a differing anti-thyroid activity. With iodine supplementation the RSM had a significant effect on thyroid weight. The largest thyroids (five-fold heavier) were in the animals with myrosinase-treated cRSM. The untreated cRSM and the nRSM trebled or doubled the thyroid weight, and the myrosinase-treated nRSM trebled it. The thyroid weight of chicks fed cRSM treated with copper did not differ significantly from the glucosinolate-free control. There was evidence that heating the myrosinase-treated RMS produced anti-thyroid compounds; these should be identified in further investigations.     

Estimation of Agent-Based Models: The Case of an Asymmetric Herding Model

The behavioral origins of the stylized facts of financial returns have been addressed in a growing body of agent-based models of financial markets. While the traditional efficient market viewpoint explains all statistical properties of returns by similar features of the news arrival process, the more recent behavioral finance models explain them as imprints of universal patterns of interaction in these markets. In this paper we contribute to this literature by introducing a very simple agent-based model in which the ubiquitous stylized facts (fat tails, volatility clustering) are emergent properties of the interaction among traders. The simplicity of the model allows us to estimate the underlying parameters, since it is possible to derive a closed form solution for the distribution of returns. We show that the tail shape characterizing the fatness of the unconditional distribution of returns can be directly derived from some structural variables that govern the traders’ interactions, namely the herding propensity and the autonomous switching tendency.JEL classifications: G12; C61Earlier versions of this paper have been presented at the 11th Symposium of the Society of Nonlinear Dynamics and Econometrics, Florence, March 2003, the 8th Spring Meeting of Young Economists, Leuven, April 2003, the 8th Workshop on Economics with Heterogeneous Interacting Agents, Kiel, May 2003, the 27th congress of Associazione per la Matematica Applicata alle Scienze Economiche e Sociali, Cagliari, September 2003; research seminars at the Department of Econometrics, University of Geneva, March 2003, and at the Department of Physics, University of Cagliari, May 2003, and have gained considerably from comments by many participants in these events.     

Phthalocyanine‐Based 2D Conjugated Metal‐Organic Framework Nanosheets for High‐Performance Micro‐Supercapacitors

2D conjugated metal‐organic frameworks (2D c‐MOFs) are emerging as a novel class of conductive redox‐active materials for electrochemical energy storage. However, developing 2D c‐MOFs as flexible thin‐film electrodes have been largely limited, due to the lack of capability of solution‐processing and integration into nanodevices arising from the rigid powder samples by solvothermal synthesis. Here, the synthesis of phthalocyanine‐based 2D c‐MOF (Ni₂[CuPc(NH)₈]) nanosheets through ball milling mechanical exfoliation method are reported. The nanosheets feature with average lateral size of ≈160 nm and mean thickness of ≈7 nm (≈10 layers), and exhibit high crystallinity and chemical stability as well as a p‐type semiconducting behavior with mobility of ≈1.5 cm² V^?1 s^?1 at room temperature. Benefiting from the ultrathin feature, the nanosheets allow high utilization of active sites and facile solution‐processability. Thus, micro‐supercapacitor (MSC) devices are fabricated mixing Ni₂[CuPc(NH)₈] nanosheets with exfoliated graphene, which display outstanding cycling stability and a high areal capacitance up to 18.9 mF cm^?2; the performance surpasses most of the reported conducting polymers‐based and 2D materials‐based MSCs.     

Complexing agent assisted synthesis of high aspect ratio Fe3 +/Mg2 + layered double hydroxides

A new, facile synthesis for Fe^3 +/Mg^2 + LDHs is developed and investigated. The crucial feature of the synthesis is the usage of a complexing agent (diethylenetriamine, DETA) to increase the solubility of iron phases precipitated intermediately. The influences of different synthesis parameter like DETA concentration, pH value, and temperature are investigated. The optimized synthesis route yields high aspect ratio Fe^3 +/Mg^2 + LDHs which are expected to be interesting filler materials for flame retardant nanocomposites.