Microstructure, hardness and mechanical properties of the ICr5Mo steel tubes for the coking furnace at super temperature were investigated in this paper. It revealed that under super-temperature, oxidation corrosion f...
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Microstructure, hardness and mechanical properties of the ICr5Mo steel tubes for the coking furnace at super temperature were investigated in this paper. It revealed that under super-temperature, oxidation corrosion for the furnace tubes was strengthened, wall thickness was evident thinner, pearlite in microstructure was spheroidised mostly, strength would be decreased and marked degradation in material occurred.
Electromagnetic Tomography (EMT) which combined electromagnetic theory and computerized tomography technology is one of the electrical tomography technologies. This technology can reconstruct the spatiotemporal distri...
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In the present work, the mechanical properties of 321 stainless steel pressure equipments exposed to an accident fire in a chemical unit were investigated. The performance and microstructure of this material were desc...
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In the present work, the mechanical properties of 321 stainless steel pressure equipments exposed to an accident fire in a chemical unit were investigated. The performance and microstructure of this material were described by chemical compositions analysis, tensile test, scanning electron microscopy (SEM) equipped with energy dispersive spectroscopy (EDS) and X-ray diffraction (XRD). The experiment results showed that the mechanical properties of the material were degraded. The grains on the external surface of the fracture became coarse. These results indicated that serious damage to 321 stainless steel had been induced by extreme heat of the fire and this pressure vessel could not be used anymore.
Simulated moving bed (SMB) is a cost-efficient chromatographic technique employed for difficult separation tasks. SMB processes exhibit complex dynamics, e.g., its hybrid nature due to the inlet/outlet port switches w...
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This paper proposes a method for discrete controller reconfiguration of hybrid systems with uncertain linear dynamics to account for abrupt events such as the occurrence of actuator faults or changes in the product sp...
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This paper proposes a method for discrete controller reconfiguration of hybrid systems with uncertain linear dynamics to account for abrupt events such as the occurrence of actuator faults or changes in the product specifications. Starting from a hybrid plant model and a controller modeled as a finite state automaton, a new controller is obtained considering an updated specification or changes in the plant structure by switching among logic controllers determined offline. The automatic computation of the controllers is carried out using a controller synthesis approach, which employs the concept of model abstraction and refinement. The method is applied to a multi-tank example.
The optimized control of combustion engines with regard to minimized fuel consumption and emissions requires nonlinear models. Because of an increase of control inputs, like fuel mass flow, injection angle, exhaust ga...
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The optimized control of combustion engines with regard to minimized fuel consumption and emissions requires nonlinear models. Because of an increase of control inputs, like fuel mass flow, injection angle, exhaust gas recirculation flow and several outputs like torque, nitrogen oxides (NOx), hydrocarbons (HC) and particulates the classical grid-based measurement techniques take too long time and do not include dynamics. Therefore different measurement strategies for the stationary and dynamic behavior are described, like Design of Experiments (DoE) and use of suitable neural networks and Pseudo-Random-Binary-Signals (PRBS). As the structure of the models is not precisely known a-priori, nonlinear identification methods in form of special versions of neural networks are good candidates. Therefore, it will be shown how with special amplitude-modulated pseudo random binary signals (APRBS), simultaneous excitation of several input signals, nonlinear multi-input multi-output models can be obtained in relatively short time.
As a complement to testing procedures, verification techniques as e.g. model checking have been proposed to analyze logic controllers specified as sequential function charts (SFC). For the success of these techniques ...
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As a complement to testing procedures, verification techniques as e.g. model checking have been proposed to analyze logic controllers specified as sequential function charts (SFC). For the success of these techniques suitable execution models of the SFC and of the programmable logic controllers (PLC) on which the SFC are implemented and operated in practice are crucial. This paper investigates and compares two different suggested transformation schemes for mapping SFC into timed automata (TA): an event-triggered and a cycle driven scheme. For the example of a laboratory experiment, the paper shows how the schemes lead to TA models of the controller which can, when complemented with appropriate plant models, be used for verifying properties as e.g. safety by employing the software tool UPPAAL. The event-triggered transformation scheme is found to lead to considerably smaller TA models and hence to be more suitable for verification purposes.
Simulated moving bed (SMB) is a cost-efficient chromatographic technique employed for difficult separation tasks. SMB processes exhibit complex dynamics, e.g., its hybrid nature due to the inlet/outlet port switches w...
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Simulated moving bed (SMB) is a cost-efficient chromatographic technique employed for difficult separation tasks. SMB processes exhibit complex dynamics, e.g., its hybrid nature due to the inlet/outlet port switches with nonlinearities and delays. The novel feature presented in this work is the extension of the ‘cycle to cycle’ control concept to make use as manipulated variables, of the four sectional flow rates and the switch time. Its effectiveness is demonstrated through two case studies; the startup of a SMB unit under plant-model mismatch and the rejection of a pump disturbance.
Fatigue crack growth behavior of 16MnR steel was experimentally studied using compact specimens subjected to different R-ratios and overloading. The effects of different notch sizes ranging from very sharp to blunt we...
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Fatigue crack growth behavior of 16MnR steel was experimentally studied using compact specimens subjected to different R-ratios and overloading. The effects of different notch sizes ranging from very sharp to blunt were also investigated. The experimental results show that stable crack growth rate follows the Paris law and the R-ratio has an insignificant influence. A larger notch results in a larger deviation of the crack growth curve prior to stabilization. In addition, the influences of overload were studied particularly by applying one single overload after the crack growth rate reached the stable state. The results reveal that the crack growth rate was enhanced right after the application of the overload followed by a rapid decrease. And then the crack growth rate started to increase slowly and merged the stable crack growth curve eventually.
Fatigue crack growth rate for 16MnR steel was simulated based on a damage model, which is assessed with local stress and strain near the crack tip. The cyclic elastic-plastic stress-strain field near the crack tip is ...
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Fatigue crack growth rate for 16MnR steel was simulated based on a damage model, which is assessed with local stress and strain near the crack tip. The cyclic elastic-plastic stress-strain field near the crack tip is analyzed using the finite element method. Two sets of programs were developed to recall stress-strain responses and to calculate crack tip damage and crack growth rate. CT specimen fatigue crack growth experiments of 16MnR steel with two R-ratios were conducted at room temperature. Comparison of FE simulation and experiment results shows that the current simulation of crack growth based on the fatigue damage criterion is accordant with the results of the experiment.
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