An international team from ABB and the Imperial College London/University College London's Centre for processsystemsengineering has initiated a project to reduce the time spent on troubleshooting in processing p...
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An international team from ABB and the Imperial College London/University College London's Centre for processsystemsengineering has initiated a project to reduce the time spent on troubleshooting in processing plants. The project aims at automatically detecting plant-wide disturbances and determining the root causes of disturbances and oscillations in production processes. Researchers at the University have developed methods for computer-aided plant disturbance analysis. The main aim of the researchers is to develop a software application that identifies unwanted plant behavior and its root causes so that operational and maintenance efforts are directed efficiently.
Metabolic flux analysis with measurement data from 13C tracer experiments has been an important approach for exploring metabolic networks. Though various methods were developed for 13C positional enrichment or isotopo...
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The process of edge flaking of brittle materials is a significant limitation in design, handling and use of components. Simple quasistatic tests to identify resistance to edge flaking can be based on near-edge indenta...
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The growth kinetics and spallation behaviour of oxide scales grown under steam environments have been investigated for alloys that are used in high temperature plant. The influence of alloy composition has been analys...
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ISBN:
(纸本)0871708183
The growth kinetics and spallation behaviour of oxide scales grown under steam environments have been investigated for alloys that are used in high temperature plant. The influence of alloy composition has been analysed using two approaches - an empirical model based upon a concept of 'chromium equivalent' and a neural network model. Both models provide good correlation with experimental results where there are sufficient data to generate the model parameters. There is insufficient data on scale spallation for the development of similar models describing the influence of alloy composition.
The need to produce a continuous representation of a curve (or part of a curve) from a set of discretely defined data arises in many metrological applications. In this paper we are interested in the reconstruction of ...
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The need to produce a continuous representation of a curve (or part of a curve) from a set of discretely defined data arises in many metrological applications. In this paper we are interested in the reconstruction of continuous surface texture profiles defined only at discretely obtained points. By reconstructing surface profiles accurately, with elements of numerical safety being taken into account, we can provide a mathematically sound basis on which to compute surface texture profile parameters [1], especially those that do not allow exact evaluation with discrete data points. Examples are given to illustrate the advantages of using this reconstruction method.
A new approach based on a genealogical decision tree is suggested for solving an open-loop tracking problem. The algorithm associates Gaussian distributions to both the norms of the control actions and the tracking er...
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The intention of this paper is the analysis of general concepts for preferential crystallisation with the focus on aspects of quantification. In this preliminary examination, the amino acid threonine was used as a mod...
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The intention of this paper is the analysis of general concepts for preferential crystallisation with the focus on aspects of quantification. In this preliminary examination, the amino acid threonine was used as a model system. The use of on-line polarimetry in combination with on-line densimetry as well as microscopic investigation enables to obtain some indispensable information about the crystallisation kinetics. Taking these estimated values into consideration a simplified mathematical description as a first approach including a population balance model was established for the simulation of the time changes of liquid phase composition during the preferential crystallisation process. Based on this simplified model different crystalliser configurations were investtigated.
We report on our progress to extend the current experimental measurements of interactions between fluid and materials to times and length scales characteristic of nanomaterials. The rapid imbibition of decane and nonp...
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ISBN:
(纸本)0976798514
We report on our progress to extend the current experimental measurements of interactions between fluid and materials to times and length scales characteristic of nanomaterials. The rapid imbibition of decane and nonpolar fluids by carbon nanotubes is investigated to confirm recent theoretical results obtained using MD simulations. The wetting dynamics of carbon nanotubes and larger carbon fibres (∼200 nm) are studied as a function of the liquid. We outline the main experimental challenges both in terms of time resolution and force sensitivity necessary for reliable experiments at these scales and present the first result of in-situ TEM observations of wetting of carbon nanotubes.
In this paper the development of a model for Mamdani type fuzzy rule-based systems using the new concept of granular computing (GrC) is presented. In this study a GrC algorithm is used to capture the required informat...
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In this paper the development of a model for Mamdani type fuzzy rule-based systems using the new concept of granular computing (GrC) is presented. In this study a GrC algorithm is used to capture the required information in the form of data granules within a high dimensional complex database. The initial collection of information granules is used as a rule-base for a fuzzy inference system (FIS) which is optimised by utilising an Adaptive Genetic Algorithm (AGA). The proposed methodology is applied to real data relating to the heat treatment of alloy steels.
The problem of integrated design and control optimization of process plants is discussed in this paper. We consider it as a nonlinear programming problem subject to differential-algebraic constraints. This class of pr...
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The problem of integrated design and control optimization of process plants is discussed in this paper. We consider it as a nonlinear programming problem subject to differential-algebraic constraints. This class of problems is frequently (i) non-convex and (ii) "costly" (i.e. computationally expensive to evaluate). Thus, on the one hand, local optimization techniques usually fail to locate the global solution and, on the second hand, most global optimization methods require many simulations of the model, resulting in unaffordable computation times. As an alternative, one may consider global optimization methods which employ surrogate-based approaches to reduce computation times, and which require no knowledge of the problem structure. A challenging Wastewater Treatment Plant benchmark model (see [1] and references therein) is used to evaluate the performance of these techniques. Numerical experiments with different optimization solvers indicate that the proposed benchmark optimization problem is indeed non-convex, and that we can achieve an improvement of the controller performance compared to the best tuned controller settings available in the literature. Moreover, these results show that surrogate-based methods may indeed reduce computation times while, at the same time ensuring convergence to the best known solutions.
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