11 results about "Diffusion layer" patented technology

The present application relates to a kind of seismic wave impedance diffusion inversion method and device, its essence is a kind of from well site to surrounding diffusion layered structure and attribute inversion method.Core is to use well logging curve to carry out layering etc., then carry out well position inversion, simultaneously, to make the result obtained by well logging interpretation and actual seismic record difference minimum, need to be appropriately disturbed by the square wave type calibration layering curve obtained from well logging interpretation, generate hundreds of reflection coefficient curves, to generate synthetic seismic record, find the synthetic record with actual seismic record difference minimum, the horizon etc. corresponding to this best synthetic record is regarded as the best seed solution and diffuses to all around, during diffusion process, by adding time window or horizon to constrain vertical propagation interval, to obtain the inversion optimum value of entire data set, specific flow as shown in Figure 1.The present application improves the precision of thin layer boundary delineation, and has higher potential for thin layer resolution.

Provided is a gas sensor element or the like in which the diffusion mode of NOx that reaches a measurement electrode is changed from molecular diffusion to a mode of diffusing while repeatedly colliding with a wall face of a sufficiently narrow flow path. In a gas sensor element according to one aspect of the invention, a porous diffusion layer, which accounts for 70% or more of a cross-section of a flow path of a measurement target gas that is orthogonal to a flow direction of the measurement target gas, has a porosity of 5% or more and 25% or less, and is located at a position that is upstream of the measurement electrode and where the distance to the measurement electrode is 0.15 mm or less.

The present disclosure relates to a thin layer type electrochemical system including a salt bridge and an electrochemical analysis method using the same and, more particularly, to a thin layer type electrochemical system including a salt bridge and an electrochemical analysis method using the same, which implement the chamber part accommodating the analytical solution of the thin layer type electrochemical system including a salt bridge, such that it is thinner than the diffusion layer; use polyelectrolyte gel as a salt bridge to limit lateral diffusion of reactants; use a specific polyelectrolyte gel; and use a transparent working electrode, thereby measuring the peaks of several consecutive reactions in voltammetry with high resolution, enabling analysis of organic solvents, and allowing electrochemical and spectroscopic measurements to be performed simultaneously.

A wafer-level diffusion layer thickness measurement method converts limiting diffusion current into diffusion layer thickness, realizes evaluation of mass transfer performance of different types of electroplating tanks in the same dimension, overcomes the problem of great difference between electric field, flow field, concentration field and wafer-level electroplating copper process in the test electrolytic cell, is closer to the actual electroplating process, and can guide the understanding of TSV hole, bump, RDL and other electroplating copper processes.

The present invention relates to a gas sensor (100) comprising a measurement chamber (102) for measuring presence of a first gas, the first gas being nitrous oxide (N2O) and an optical source (103) for emitting radiation in the measurement chamber (102). The sensor also comprises a radiation detector (104) sensitive to radiation emitted by the optical source (103), the radiation being detected by the radiation detector (104) following passage through the measurement chamber (102). A diffusion layer (131) is configured to allow diffusion of ambient gas into and out from the measurement chamber (102), and the diffusion layer (131) comprises means (133) for preventing diffusion of carbon dioxide (CO2) in the ambient gas into the measurement chamber (102). The invention also relates a nitrous oxide detector comprising such a gas sensor, and a method for determining presence of nitrous oxide in the ambience.

The application provides an image processing system and method for natural gas pipeline leakage detection. Firstly, the natural gas pipeline infrared image is collected, and the pipeline boundary feature is extracted according to the natural gas pipeline image. The natural gas pipeline infrared image is subjected to layer feature extraction according to the pipeline boundary feature, and the natural gas leakage diffusion layer of the natural gas pipeline infrared image is obtained. The heat friction diffusion vector set is obtained by extracting the heat friction diffusion vector according to the natural gas leakage diffusion layer, and the pipeline leakage point image is generated through the heat friction diffusion vector set. The diffusion characteristic quantity corresponding to each pipeline leakage point in the pipeline leakage point image is extracted, the pipeline leakage area image is generated through the natural gas pipeline flow pressure and the diffusion characteristic quantity corresponding to each pipeline leakage point, and the friction heat effect between the high-pressure natural gas and the natural gas pipeline leakage port can be analyzed according to the heat friction diffusion vector, so that the visual pipeline leakage area image is generated.

The invention discloses a TEM image-based film thickness automatic measurement method and measurement system, and a medium. The method comprises the following steps of image preprocessing, contour recognition execution and rotation correction; carrying out region selection to obtain a cut rectangular image; performing signal analysis, extracting an average gray scale curve in the growth direction of the film layers, and judging upper and lower boundaries of each film layer and a diffusion interface between the film layers based on gray scale distribution characteristics and threshold segmentation; thickness calculation: calculating and outputting the thickness of each film layer and the diffusion layer according to the determined boundary position; and visualizing and generating a film thickness distribution broken line graph and a film thickness marking image. According to the invention, based on the MRC format image output by the cross section of the thin film shot by using the transmission electron microscope, the interactive software with an interface is used for self-adaptively and horizontally correcting the image, and the thickness of each layer of film and the thickness of the diffusion layer between the film layers are automatically calculated and output, so that the repetitive operation of repeatedly recording coordinates and carrying out difference value operation in the traditional measurement process is avoided; the condition that the threshold value selection of each period is deviated during manual measurement is avoided, the measurement time of the thickness of the multilayer film is remarkably shortened, and the automation degree of measurement and the consistency and repeatability of measurement results are improved.

This optical stack has a first main surface and a second main surface that is on the opposite side from the first main surface, wherein: the optical stack includes an optical filter layer that transmits infrared rays and reflects visible light, and a diffusion layer that diffuses visible light; the reflectivity with respect to infrared rays having a wavelength of 850 nm is 66%; and when the second main surface is disposed on a pattern that is readable using infrared rays, the pattern being formed on a foundation having a backscatter rate of 19%, the pattern can be read using infrared rays from the first-main-surface side.

The invention discloses a gradient diffusion thin film DGT device calibration and environmental adaptability verification method and device. The device comprises an experimental water tank, a closed-loop flow path, a DGT placement module and a flow velocity adjusting system. The closed-loop flow path is composed of a pump and a pipeline; the DGT placing module comprises six three-way pipe fittings connected in series, and a threaded knob is arranged at a middle interface of each three-way pipe fitting to fix a DGT device; the DGT device is composed of a base, an adsorption layer, a diffusion layer, a filter membrane and a cover from bottom to top, the base adheres to the top of a threaded rotary knob, and a middle connector of a three-way pipe fitting is fixed by tightening the rotary knob; the flow speed adjusting system is composed of a flow adjusting valve, a main adjusting valve, a flow meter and a rectification grid. Adding a calibration target pollutant solution to be measured based on the device, starting a pump system, adjusting the flow rate, and reading and measuring monitoring data; the purposes of standardization, high contact efficiency, low detection limit and space saving of the device calibration and environment adaptability verification method are achieved.

The application relates to the cross field of nanofluid mechanics and interface chemistry, and specifically discloses a kind of nanobubble stability dynamic analysis and life prediction method, establishes double hyperbolic pressure balance equation considering inter-ring electrostatic repulsion, constructs concentric ring dense packing ion distribution model, deduces the series expression of surface hydroxyl ion dynamic adsorption;Propose the diffusion layer Prandtl number correction method based on Brown motion correction, realize the accurate calculation of dynamic mass transfer parameter;Establish the multi-dimensional coupled nanobubble radius change rate equation, establish the critical stable radius criterion and the closed solution of life prediction. The application breaks through the plane hypothesis limitation of traditional Young-Laplace equation, solves the technical problem of large deviation of existing nanobubble model theoretical prediction through multi-physical field coupling modeling and experimental parameter joint debugging.