Do superconductors change as fast as possible when quenched?

If superconductors change as fast as possible as they pass through a phase transition, then the initial domain structure is constrained by causality. We shall see that Josephson junctions do indeed display such behaviour. However, we shall argue that causal bounds arise through the Gaussian nature of the order parameter, which can be thought of as a consequence of instabilities growing as fast as possible.     

Using the blender game engine for real-time emulation of production devices

This paper describes the principles, architecture and design details for using the Blender Game Engine in real-time production device emulation. An emulation system for a real material transport and handling production installation was implemented based on this. A prototype of a distributed production control system was run on top of the device emulation system to evaluate feasibility. A cardinal architectural principle is the clear distinction between production controllers and production devices. This principle, applicable through flexible communication middleware, enables the implementation of portable production controllers that execute transparently on either the emulated or the real production system. Production system engineers may take advantage of this approach to develop and gain confidence in complex production control solutions.     

A simulation approach for evaluation and improvement of organisational planning in collaborative product development projects

Human behaviour and organisational structure impact collaborative product development outcome on a large scale. Therefore, companies are continuously seeking new opportunities to increase the efficiency, effectiveness and predictability of their collaborative product development projects, and to develop innovative principles for organisational design and management such as multi-functional teams. However, there are many factors which have to be considered and assessed to systematically optimise organisational planning in respect of team configuration, structure organisation, and human behaviour. This paper proposes an agent-based simulation methodology to evaluate and improve the organisational planning in complex product development projects. An agent-based integrated simulation model is formulated which can explicitly represent human behaviour, organisational interactions, and tasks networks. Based on the model, the design agent structure and behaviour protocols are studied in detail, and a simulation platform is developed. Finally, the methodology is evaluated in a collaborative roadway design project, and several management insights are established, which are proven to be effective for the organisational optimisation. The results of the case study also show that the methodology can effectively support the evaluation and improvement of organisational planning.     

Mueller matrix measurements of algae with different shape and size distributions

The full Mueller matrix was measured to obtain the polarization state of the scattered light for a variety of algae with different shapes, wall compositions, sizes, and refractive indices. The experimental setup was a multiple laser Mueller matrix ellipsometer, by which measurements were performed for scattering angles from 16° to 160° sampled at every second degree for wavelengths of 473?nm and 532?nm. Previously, the polarization of light scattered from microalgae was investigated only for a few species, and the Mueller matrix was found to have little variation between the species. In our work a total of 11 algal species were investigated, representing diatoms, dinoflagellates, coccolithophorids, green algae, and a cryptophyte. The selection of species was made to obtain high variability in shape, size, cell wall, and refractive index. As in previous investigations, very small variations were found between species for most of the Mueller matrix elements, but noticeable variations were found for M(11), (M(12)+M(21))/2 and (M(33)+M(44))/2.     

Identifying and evaluating suitable tasks for autonomous industrial mobile manipulators (AIMM)

This paper investigates the application potential for the technology-push manufacturing technology (TPMT) autonomous industrial mobile manipulation (AIMM), in order to link the conceptual ideas (academia) to actual manufacturing requirements (industry). The approach is based on the proposed TPMT methodology in a comprehensive industrial case study. More than 566 manufacturing tasks have been analyzed according to three main application areas (logistics, assistance, and service) to find their suitability for the AIMM technology. The conducted TPMT analysis shows that AIMM has great potential within the manufacturing industries. More than two thirds of the analyzed manufacturing tasks are solvable with AIMM within the next few years. The AIMM technology, at its current stage, finds most suitable applications within logistics (e.g., transportation and part feeding), moving toward assistance (e.g., (pre)assembly and machine tending), and in the future more service-minded tasks (e.g., maintenance and cleaning). Based on the identified real-world applications, it is possible to raise the AIMM technology to the next levels of industrial maturation, integration, and commercialization.     

Risk of cross-infection in a hospital ward with downward ventilation

A two-bed hospital ward with one standing healthcare person and a ceiling-mounted lowimpulse semicircular inlet diffuser is simulated in a full-scale room. Tracer gas is used for simulating gaseous contaminants, and the concentration is measured at different air change rates and different postures of the patients. A textile partition between the beds, which is typical in a hospital ward, is used for protection of the patients in some of the experiments. Three different layouts of return openings are tested. One layout with one opening at the ceiling, another with four openings at the wall opposite to the inlet diffuser, and one with a high location of these four openings. The downward recirculating flow is on average parallel with the partition, and in most cases the partition does not decrease cross-infection. A high location of the four return openings decreases the risk of cross-infection.     

Thermodynamic Studies on the AlN Sintering Powders Treated With Phosphate Species

The processing of aluminum nitride (AlN) ceramics in aqueous media requires the use of a surface layer to protect the surface of the particles against hydrolysis. This surface layer might influence the densification, affecting the reactions between AlN and sintering additives. The present paper describes a thermodynamic and experimental approach to evaluate the effects of a phosphate-based protecting surface layer on the densification of AlN in the presence of YF₃–CaF₂ as sintering aids, and to predict the densification behavior during sintering using thermodynamic assessments. Based on thermodynamic calculations and the measured weight loss of the samples during heating to sintering temperature, the chemical reactions occurring during firing were proposed. The proposed reactions were related to the experimental results as well as the final properties of the AlN samples, namely, thermal conductivity, microstructure, secondary phases, and density.     

Impact of PLGA molecular behavior in the feed solution on the drug release kinetics of spray dried microparticles

The purpose of this study was to understand the impact of the poly (lactic-co-glycolic acid) (PLGA) molecular behavior in the feed solution on the drug release kinetics of PLGA microparticles prepared via spray drying. The PLGA molecular behavior in the feed solutions were characterized by using tube viscometry, which provides information about the polymer coil radius (R_coil), the Martin constant (K_m), and the overlap concentration (c*). The particle size and the drug surface enrichment were investigated by using scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS), respectively. The drug release profiles were characterized by using the USP paddle method and analyzed by using the Crank's diffusion model to calculate the kinetic parameters. Multivariate data analysis using principal component analysis (PCA) was employed to display the relationship between the PLGA molecular behavior, particle properties and the drug release kinetics from the spray dried PLGA microparticles. Rheological studies suggested that an increased molar ratio of a poor solvent (methanol) in the solvent system resulted in a decreased R_coil, the increase in K_m and c*. The higher effective diffusion coefficient of drug calculated by using the Crank's diffusion model was observed in the polymer matrix prepared at an acetone-to-methanol molar ratio of 69:31. The PCA models indicated that the drug surface enrichment and the K_m were directly proportional to the drug burst release, while the entanglement index was inversely correlated. Further, the particle size had a less significant impact on the drug burst release. This study implies that the polymer molecular behavior would influence the microscopic connectivity and diffusivity of polymer matrix, which eventually affects the drug release kinetics.     

Statistical mechanical model for the formation of octahedral silicon in phosphosilicate glasses

Unlike ambient pressure silicate glasses, some phosphosilicate glasses contain sixfold-coordinated silicon (Si⁶) units even when prepared at ambient pressure. The variation in the fraction of Si⁶ with composition remains a topic of interest, both for technological applications of phosphosilicate glasses and for fundamental understanding of the glass structure. In this work, we use statistical mechanical modeling to predict the composition–structure relationships in Na₂O–P₂O₅–SiO₂ and CaO–P₂O₅–SiO₂ glasses. This is achieved by accounting for the enthalpic and entropic contributions to the interactions between each pairwise modifier ion and structural unit. The initial enthalpy parameters are obtained based on experimental structural data for binary Na₂O–SiO₂, CaO–SiO₂, Na₂O–P₂O₅, and CaO–P₂O₅ glasses, which can then be transferred to predict the structure of mixed former glasses. This approach has previously been used to predict the short-range structure of borosilicate and aluminoborate glass systems. However, here we show that the formation of Si⁶ must be specifically included to make accurate predictions of the composition–structure relationships in phosphosilicate glasses. After incorporating the formation mechanism of Si⁶ in the statistical mechanics model, we find an excellent agreement between model predictions and experimental structure data for Na₂O–P₂O₅–SiO₂ and CaO–P₂O₅–SiO₂ glasses.