According to the typical design of the secondary loop system of marine nuclear power plant, the physical model of the main components of the secondary circuit steam turbine, condenser, feed water pump and preheater is...
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system Availability, Rejection rate and Malfunction rate are vital technical indicators for safety class DCS when evaluating the reliability of the control system to meet technical requirements. This trend has attract...
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Laser induced fluorescence (LIF) is characterized as a non-insertion and whole-field measuring technology for the thermal-hydraulic analysis. This paper presents the details of LIF, including the basic principle, the ...
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The existing fault diagnosis methods based on deep neural networks mostly rely on process data for fault classification and diagnosis,which makes it difficult to distinguish minor faults with similar data ***,this pap...
The existing fault diagnosis methods based on deep neural networks mostly rely on process data for fault classification and diagnosis,which makes it difficult to distinguish minor faults with similar data ***,this paper proposes a deep learning-based fault diagnosis model that combines statistical indicators and neural *** analyzing and calculating the relevant information entropy to screen the statistical signal features of time domain and frequency domain,we can extract more hidden information from the raw data,and use the convolutional autoencoder to compress the statistical indicators for feature extraction,and use CNN network to extract features from raw ***,the two sets of features are fused and input into the LSTM network to obtain temporal information for fault *** conducted on the Tennessee Eastman(TE)process show that the proposed model outperforms typical classifiers and improves the diagnostic accuracy of minor faults.
Exploring new strategies to broaden the upper/lower limit of thermal conductivity is of great interest to develop thermal management materials that can adapt to extreme *** this work,we employ an interfacial ion regul...
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Exploring new strategies to broaden the upper/lower limit of thermal conductivity is of great interest to develop thermal management materials that can adapt to extreme *** this work,we employ an interfacial ion regulation to enhance the thermal insulation performance of 2D layered double hydroxide *** introduction of interfacial ion enlarges the interplanar spacing of Co(OH)_(2) nanosheets from 4.64 to 8.05 ?,which reduces phonon scattering length perpendicular to the two-dimensional plane and leads to enhanced interlayer thermal *** interfacial ion-regulated Co(OH)_(2)(named as Co(OH)_(2)-M^(x-)) exhibits 3-fold enhancement of thermal insulation through decreasing the thermal conductivity to as low as 0.15 W m^(-1) K^(-1),which is among the top values in 2D solid *** anticipate that interfacial ion regulation for 2D nanosheets paves a new avenue to break through the thermal insulation limit.
In the floating nuclear power plant, Core Make-up Tank (CMT) is one of the passive safety facilities, has been widely used in nuclear engineering. Under emergency conditions, natural circulation occurs and consequent ...
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Dear Editor, This letter concentrates on distributed event-triggered formation control problems with finite-time convergence in an arbitrarily dimensional Euclidean space. A new unified approach of finite-time event-t...
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Dear Editor, This letter concentrates on distributed event-triggered formation control problems with finite-time convergence in an arbitrarily dimensional Euclidean space. A new unified approach of finite-time event-triggered formation control is proposed by steering all agents to a sliding manifold (the affine image) to achieve general formations, like affine, rigid or translational formation. It only requires to design an extra steering law driving at least d +1 leaders from an affine image to a rigid or translational image, where d is the dimension of the space. The event-triggered function is designed in a distributed and discontinuous manner based only on local information to reduce the communication and calculation resources by aperiodic sampling. In the proposed event-triggered formation law, zeno-free behavior is ensured. IEEE
In order to improve the flexibility and adaptability of micro nuclear power systems, air is considered as an optional working fluid of nuclear Brayton cycle. It has ability to avoid shortage of working fluid under ext...
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ISBN:
(数字)9789811988998
ISBN:
(纸本)9789811988981
In order to improve the flexibility and adaptability of micro nuclear power systems, air is considered as an optional working fluid of nuclear Brayton cycle. It has ability to avoid shortage of working fluid under extreme conditions, and ensure the system operating with tight supply. Compared with the traditional open cycles, the closed cycle has advantages of higher cycle efficiency, smaller equipment size and higher power density. Few of closed air power cycle in nuclear power system has been studied by now. In this paper, cycle parameters were analyzed and designed, and optimal cycle performance was compared between cycle constructions. Four closed air Brayton cycles are proposed and modeled in EBSILON 15.0, including simple regenerative cycle (SRC), intercooling regenerative cycle (IRC), reheat regenerative cycle (RRC) and intercooling-reheat regenerative cycle (IRRC). Thermodynamic analysis of the key parameters is conducted, including pressure ratio, turbine inlet temperature, compressor inlet temperature and pressure. In addition, the genetic algorithm (GA) is applied for multi-parameters optimization for the maximal cycle efficiency. Result shows that with the increase of pressure ratio, the efficiency of SRC increases firstly and then decreases. With the increase of turbine inlet temperature, the pressure ratio corresponding to the maximal cycle efficiency increases gradually. Specific work gradually increases with pressure ratio. In higher turbine inlet temperature, the rising velocity of specific work is faster. Cycle efficiency increases with compressor inlet pressure, and this trend tend to be slower in high pressure region. With the increasing of compressor inlet pressure, optimal pressure ratio decreases and finally approaches to 2.0. The cycle minimal cycle pressure was selected as 6 MPa. Maximal efficiency and corresponding pressure ratio increase with turbine inlet temperature increasing and decrease with compressor inlet temperature increasing. Co
Proximity effect over a broad frequency range plays an important role in analyzing transients in the coils. The frequency dependent characteristic makes proximity effect a tricky problem. This paper first introduces F...
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Pore structure design is an effective strategy to tailor the thermal isolation capability of thermal barrier coatings(TBCs).Pursuing optimal porosity is crucial to balance the requirements of thermal isolation and mec...
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Pore structure design is an effective strategy to tailor the thermal isolation capability of thermal barrier coatings(TBCs).Pursuing optimal porosity is crucial to balance the requirements of thermal isolation and mechanical reliability since the pore structure shields thermal heat transfer but increases mechanical *** this work,we investigate how thermal heat transfer couples with fracture propagation in porous TBCs by the using thermo-mechanical coupling phase field model for *** simulated results show that cracks induced by thermal shock favor deflection that is sometimes perpendicular to the direction of heat *** thermal conductivity degradation by the transverse cracks significantly impedes thermal heat transfer,leads to enhanced reduction of the effective thermal conductivity of TBCs,decreases the average thermal stress of the substrate,and thus decreases the risk of the crack penetrating into the *** numerical results demonstrate that the phase field method fully considering the thermo-mechanical interaction between cracks and pores can be a useful tool to improve the thermal isolation of porous TBCs under extreme thermal shock loadings through pore structure design.
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