9 results about "Incident energy" patented technology

The invention relates to a fire threshold energy analysis and prediction method for solid combustible materials under strong explosion fireball heat radiation, and aims to solve the problems that in the prior art, a fire threshold energy analysis and prediction method for solid combustible materials under a strong explosion fireball heat radiation scene is not systematic enough, the prediction result is not high in reliability, and the prediction cost is low. And actual requirements are difficult to meet. Comprising the following steps: S1, establishing a heat transfer-pyrolysis numerical calculation model under thermal radiation loading of the solid combustible; s2, obtaining thermophysical parameters, surface reflectivity parameters, pyrolysis kinetic parameters and pyrolysis reaction latent heat of the solid combustible; s3, determining the ignition characteristic temperature and the critical pyrolysis gas mass flow rate of the solid combustible; and S4, based on a heat transfer-pyrolysis numerical calculation model and the material parameters determined in the step S2, performing numerical simulation on the heat effect process of the solid combustible, and performing iterative calculation in combination with the ignition characteristic temperature determined in the step S3 and the critical pyrolysis gas mass flow condition to determine the strong explosion fireball heat radiation incident energy corresponding to solid combustible ignition. Therefore, fire threshold energy analysis and prediction under the thermal radiation of the specific solid combustible strong explosion fireball are completed.

This utility model discloses an encapsulation component for improving the power generation of a module under low irradiance, comprising, from top to bottom, an antireflective front glass, an antireflective film, a stacked crystalline silicon cell, a transparent film, and a grid-coated high-reflectivity back glass. The antireflective front glass includes high-transparency glass and a double-layer coating layer disposed on the upper surface of the high-transparency glass. The antireflective high-refractive-index film includes a cross-linked elastomer film layer disposed near the antireflective front glass and a high-refractive-index film layer disposed near the stacked crystalline silicon cell. This utility model features a double-coating design for the upper high-transparency glass, which improves light transmittance and incident rate, thereby increasing the incident energy of light reaching the solar cells and increasing module power. The middle anti-reflective high-refractive-index film layer, through a double-layer refractive index difference design, reduces the loss of light due to refraction and reflection caused by the refractive index difference, thereby increasing the incident light reaching the solar cells and increasing module power generation efficiency. The bottom layer of high-reflective grid-coated glass is a white grid-coated glass, which improves the secondary utilization rate of incident light. Matching the uppermost low-thickness anti-reflective glass, it can effectively ensure the overall mechanical load design of the module.

A thin film photovoltaic device is configured for receiving and converting a target wavelength range of light to electricity: The photovoltaic device includes a substrate, a bottom electrode disposed over the substrate, a lower carrier transport layer disposed over the bottom electrode, a perovskite absorber layer disposed over the lower carrier transport layer, an upper carrier transport layer disposed over the perovskite absorber layer, and a top electrode disposed over the upper carrier transport layer. The perovskite absorber layer has a physical thickness of 900 nm or less and is characterized by a bandgap energy (BE). At least one of the top and bottom 2024 / 039846 electrodes includes a transparent conducting layer which is transparent to the target wavelength range of light. The perovskite absorber layer has an optical path length that is greater than or equal to 8 times the physical thickness of the perovskite absorber layer for incident radiation that is i) within the target wavelength range, and ii) within an incident energy range of BE to (BE+0.52 eV).

The invention provides an aluminum alloy electron range estimation method, system and device and a storage medium, and relates to the technical field of space radiation protection, and the method comprises the steps: generating a particle transport calculation model of an aluminum alloy according to the component proportion and geometric characteristics corresponding to the aluminum alloy; according to the particle transport calculation model, through a Monte Carlo simulation method, obtaining original range data of electrons after interaction with the aluminum alloy through preset incident energy data; according to the range original data, the range-energy mapping relation of the aluminum alloy is obtained; determining a continuous estimation function through an interpolation algorithm according to the range-energy mapping relation; and outputting a real-time range estimation result of the target electron in the aluminum alloy through the continuous estimation function in combination with the real-time incident energy of the target electron. Based on the actual components and the geometric structure of the aluminum alloy, the estimation precision and efficiency of the electronic range in the aluminum alloy are improved by using the continuous estimation function.

The application discloses a method and system for determining seismic energy and ground motion amplification coefficient under complex terrain geological conditions based on energy method and artificial intelligence, and belongs to the technical field of earthquake engineering and geotechnical engineering. The method comprises the following steps: determining the energy of a seismic source; calculating the energy attenuation on the seismic wave propagation path; calculating the energy transformation of different geological interfaces; extracting terrain feature parameters and constructing a training database to train a deep neural network to determine the energy distribution coefficient of a complex combined terrain; predicting the energy distribution coefficient of each point of a target site; combining the incident energy of bedrock to calculate the ground motion amplification coefficient and perform energy conservation correction; and finally outputting an amplification coefficient distribution map. The application combines physical mechanisms with artificial intelligence, can efficiently and accurately predict the ground motion amplification effect of complex combined terrains (such as mountain groups and valleys), and the result conforms to energy conservation, so that the application can provide a scientific basis for seismic zoning and engineering seismic design.

The present application belongs to the technical field of component analysis, and relates to an X-ray fluorescence analysis correction method and an online ore component analysis method. The correction method adopts a Monte Carlo method to simulate the attenuation degree of X-rays in air, and obtains the reaction of X-rays in air. The energy of X-rays is taken as the horizontal coordinate, and the number of remaining X-rays after passing through a distance d of air is taken as the vertical coordinate. A curve is fitted to obtain the attenuation curve of X-rays in air. The Eval() function in the TGraph class is used for difference to obtain the transmittance of different incident energies. The obtained transmittance is used to correct the real yield of each element in the measured sample. The correction method and the online ore component analysis method are applied to the ore component analysis process, and can make the component analysis equipment be used directly in air without a vacuum pump.

Device for heating plastic containers (101) for the production of bottles, in a heating section comprising a control unit (105) for controlling the heating and one, preferably several, heating stations (190), wherein each heating station (190) comprises at least one, preferably a plurality of spectrally narrowband light sources (261), characterized in that: each spectrally narrowband light source (261) is suitable for emitting light with a wavelength in a range in which between 30% and 50% of the incident energy can be absorbed in the first wall of the plastic container, wherein the at least one narrowband light source is capable of emitting narrowband light with a half-width of less than Δλ = 50nm.

The invention discloses a multi-parameter confinement simulation method of subsurface layer'fusion type 'growth in a fourth growth mode, and belongs to the field of material simulation and calculation. According to the method, on the basis of molecular dynamics simulation software LAMMPS, the fusion type growth behavior of high-entropy alloy atoms on a substrate subsurface layer in the ion beam assisted deposition process is simulated by regulating and controlling the energy, direction, size and flux of deposition atoms. The method specifically comprises the following steps: establishing a single-crystal or amorphous substrate model of the high-entropy alloy FeCoNiCrMn; setting an MEAM potential function; by regulating and controlling a deposition area, incident energy and flux, injection and nucleation of atoms on the subsurface layer are achieved; a subsurface layer forming process is visualized by using a radial distribution function, kinetic energy analysis, potential energy analysis and stress analysis. The method breaks through the limitation of a traditional surface growth mode, successfully simulates and verifies a fourth film growth mode different from a traditional layered mode, an island mode and a layer-island composite mode, realizes growth from the inside of the substrate to the outside, and provides a theoretical guidance and simulation platform for low-temperature and high-quality preparation of the high-entropy alloy film.

The invention discloses a hyperspectral perovskite X-ray detection method and system. The system comprises a multi-component perovskite array detector, a signal acquisition and amplification module, a spectrum unmixing module, a hyperspectral imaging module and a material identification and quantitative analysis module. The method comprises the following steps of: preparing perovskite array detectors with different components on a TFT / CMOS (Thin Film Transistor / Complementary Metal-Oxide-Semiconductor Transistor) plate by adopting a mask spraying process; processing a signal output by the perovskite array detector through a signal acquisition and amplification module to obtain a multi-component response vector corresponding to each pixel; carrying out unmixing processing on the multi-component response vector through a spectrum unmixing module, and reconstructing an incident energy spectrum; a'space * energy 'data cube is constructed through the hyperspectral imaging module, and a hyperspectral image is generated; material identification and quantitative analysis are realized based on a preset database through a material identification and quantitative analysis module; according to the invention, the problem that the resolution capability of a traditional detector is reduced in a wide-energy-band and high-flux scene can be solved.