Modelling of the recrystallisation kinetics of Interstitial Free (IF) steel after hot deformation using plane strain compression (PSC) at strain rates from 0.1 to 10 s −1 over a temperature range of 700 to 900 ...
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Modelling of the recrystallisation kinetics of Interstitial Free (IF) steel after hot deformation using plane strain compression (PSC) at strain rates from 0.1 to 10 s −1 over a temperature range of 700 to 900 °C has been carried out. The model is based on a hybrid modelling technique combining neuro-fuzzy models and physical equations. Explicitly. the model has been developed based on an inverse modelling strategy which involves predicting the internal states behaviour of the material based on the deformation conditions and the recrystallisation properties.
The data set of batch biological and biotechnological processes can be organized in a three-way data matrix. In this paper the usefulness of different PCA approaches for monitoring is analyzed. Different ways of unfol...
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control of turbocharged diesel engines is a challenging task due to system nonlinearities and constraints on the inputs and process variables. In this paper nonlinear model predictive control is applied to control a d...
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control of turbocharged diesel engines is a challenging task due to system nonlinearities and constraints on the inputs and process variables. In this paper nonlinear model predictive control is applied to control a diesel engine with a variable geometry turbocharger and an exhaust gas recirculation valve. The overall control objective is to regulate the setpoints of the air-fuel ratio and the amount of recirculated exhaust gas in order to obtain low exhaust emission values and low fuel consumption without smoke generation. Simulation results are presented to study the advantages and disadvantages of nonlinear model predictive control. The achieved performance is compared in simulations with a linear state feedback controller and an input-output linearization based control method. As shown, nonlinear model predictive control achieves good overall control performance and constraint satisfaction.
The present paper gives a state-of-the-art overview of general representation results for fuzzy weak orders. We do not assume that the underlying domain of alternatives is finite. Instead, we concentrate on results th...
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This paper presents the theoretical framework for the centralized control architecture of the multi agent micro-robotic platform MiCRoN. The entire control system architecture integrates sensory modules, modeling modu...
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This paper presents the theoretical framework for the centralized control architecture of the multi agent micro-robotic platform MiCRoN. The entire control system architecture integrates sensory modules, modeling modules, and control modules. The latter are composed by (i) a high level simulation and autonomous execution unit that is capable for on-line multi-robot navigation with collision avoidance, (ii) a trajectory tracking unit for manipulation purposes, and (iii) a low level position controller that performs position control exploiting machine learning algorithms. The high level controllers take into account behaviors specific to the micro-scale. The performance of the layered control system is evaluated through simulations and preliminary hardware experiments on a micro-robotic platform. The application domain of the MiCRoN platform is cell manipulation, and 3-D assembly for micro-fabrication.
The data set of batch biological and biotechnological processes can be organized in a three-way data matrix. In this paper the usefulness of different PCA approaches for monitoring is analyzed. Different ways of unfol...
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The data set of batch biological and biotechnological processes can be organized in a three-way data matrix. In this paper the usefulness of different PCA approaches for monitoring is analyzed. Different ways of unfolding and scaling of data have been applied to a pilot-scale SBR data. PCA is used to reduce the dimensionality and to remove the non-linearity dynamic of the data. Moreover, a new method to select the number of principal components is proposed. Loadings graphics are used to determinate the predominant variables for each one. The results show that whatever model can be applied depending on the goal of the monitoring, however the models implicate possible false alarms or faults omission.
OVER VIEW: Data obtained from wafer-surface inspection tools are limited to defect maps, defect number, etc. In any case, in order to swiftly execute measures to decrease the amount of defects, it is very important to...
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OVER VIEW: Data obtained from wafer-surface inspection tools are limited to defect maps, defect number, etc. In any case, in order to swiftly execute measures to decrease the amount of defects, it is very important to determine where the defects are being generated. Accordingly, more concrete information on defects, such as shape and constitution data, is becoming more necessary. Hitachi High-Technologies Corporation is therefore offering a line-up of wafer-surface defect inspection tools and review scanning electron microscopes, and Hitachi Kenki FineTech Co., Ltd. is offering a line-up of atomic-force microscopes. In the present work, a system of improving yields by providing surface-analysis information about unpatterned silicon wafers-called "smart root cause analysis"-was developed. From now onwards, although defect observation based on the output coordinates from surface inspection of unpatterned silicon wafers is extremely difficult owing to a lack of an alignment basis, the developed system can address this difficulty and make a key contribution to crucial defect countermeasures with high efficiency.
This contribution deals with the investigation of an approximately 1/10-scaled model of a metro vehicle car body concerning the low structural eigenmodes. The model has been developed by means of finite element calcul...
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ISBN:
(纸本)9781627481502
This contribution deals with the investigation of an approximately 1/10-scaled model of a metro vehicle car body concerning the low structural eigenmodes. The model has been developed by means of finite element calculations in such a way that the eigenfrequencies of the model lie close together. An experimental modal analysis has been carried out to determine the structural dynamics behavior of the realized model. The achieved results verify the predicted dense lying eigenfrequencies. In addition to that the accomplished experimental modal analysis provides a sophisticated basis to improve the modelling of the investigated structure for control purposes. Such simulations and measurements are done to support design developments and concepts to achieve a higher ride quality for metro vehicles.
To evaluate the mechanical properties in which the laser spot welded stainless steel panel for vehicle body applications is applied as outside plates to improve corrosion resistance and heat hardiness of conventional ...
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To evaluate the mechanical properties in which the laser spot welded stainless steel panel for vehicle body applications is applied as outside plates to improve corrosion resistance and heat hardiness of conventional aluminium honeycomb panels, the static and fatigue tests were carried out. This panel consists of two face sheets and truss shaped corrugation core. They are assembled by the laser spot welding and the feature of this panel is that the weld mark are not existed in outside face sheet of panels. A conventional 300 W pulse Nd:YAG laser with optical fibre and focusing system is applied for spot welding between face sheets and corrugated core. Outside face sheet thickness is 1.0 mm, inside face sheet thickness is 0.8 mm, and core thickness is 0.4 mm. Especially to weld outside face sheet and core, closely controlled laser beam is irradiated from core side to obtain half penetration condition in outside face sheet. The laser spot welded stainless steel panel is sufficient for application as a structural material for any kind of vehicle bodies.
This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors’ previous work (Chen et al., 2005a) where ma...
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This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors’ previous work (Chen et al., 2005a) where matrix perturbation theory was used. For the new robust stability checking, Lyapunov inequality is utilized for finding the maximum eigenvalue of a Hermitian matrix. Through numerical examples, the usefulness and the effectiveness of the newly proposed method are verified.
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