9 results about "Roughness factor" patented technology

The invention discloses a watershed sediment connectivity evaluation method based on an MATLAB platform and considering relative surface roughness. The method comprises the following steps: acquiring digital elevation model (DEM) data of a target watershed; obtaining a digital elevation model DEMF after depression filling based on the DEM; calculating a flow direction matrix FD; calculating a catchment area A of a catchment area above each DEM cell, and extracting water system position vector data S; calculating a surface roughness factor RRF and a surface undulation factor SLF based on the DEMF, and generating a surface relative roughness factor RRSF; calculating a weighted confluence path length DISTW based on the FD and the RRSF; calculating a sediment'source 'component Dup and a sediment'sink' component Ddown based on A, S, DISTW and FD; and calculating a connectivity index RIC of the target drainage basin based on the Dup and the Ddown. According to the method, the influence of micro-topography evolution of the erosion-driven drainage basin on the sediment connectivity can be more comprehensively represented.

The invention provides a method for analyzing the wetting behavior of a liquid drop on a rough solid surface under the action of an electric field, and the method comprises the following steps: S1, building an initial simulation system and a simulation model based on a research and information collection result; s2, configuring operation parameters of the simulation model, and executing simulation calculation; s3, in the molecular dynamics simulation process, applying electric fields with different intensities, and monitoring the state change of the simulation system until the simulation system reaches dynamic balance; and S4, exporting the calculation data in the dynamic balance state, and carrying out visualization processing and data analysis on the calculation data to summarize the internal law of the calculation data. Influences of electric field intensity and roughness factors on complex electrowetting are described through a contact angle and some interface characteristics, and an electrowetting expansion mechanism of micro-nano liquid drops on a rough wall surface is explained from a microscopic perspective.

The present invention discloses a method for controlling the risk of over-etching of the back hole during double-sided overlay accuracy alignment and protection, and the present invention relates to the technical field of lithography overlay. The method includes the following steps: First, form the first layer of overlay pattern and alignment marks on the front side of the wafer, and establish a front-side coordinate system; calculate the local and global offset errors by overlaying the coordinate information of the two layers of front-side overlay patterns, determine the comprehensive front-side overlay error, and correct the front-side alignment system. Subsequently, flip the wafer, process the back-side overlay pattern in the same way as the front-side alignment, correct the back-side alignment system, and complete the double-sided error correction. Finally, by extracting surface characteristic parameters including the photoresist thickness distribution factor and the edge roughness factor, correct the lithography depth to obtain an accurate value, realize the precise control of the lithography depth, reduce the risk of over-etching of the back hole of the wafer, and significantly improve the yield of the equipment and the performance stability of the product.

In order to explore the material removal mechanism of aluminum nitride ceramic in the friction chemical polishing process, molecular dynamics under a reaction force field is used, the roughness of a workpiece and a grinding disc is used as an important consideration factor during simulation, and the aluminum nitride ceramic micro material removal process analysis method considering the roughness effect is provided. The method comprises the following steps: firstly, constructing a molecular dynamics simulation model of an aluminum nitride ceramic matrix and an aluminum oxide ceramic matrix with different rough peak surfaces, and simulating a scratching process between the aluminum oxide ceramic matrix and the aluminum nitride ceramic matrix in a large-scale atom / molecule parallel simulator LAMMPS; then, the simulated track is observed and analyzed in visual software OVITO, and the influence mechanism of different roughness factors on the material removal process of scratching the aluminum nitride ceramic substrate by the aluminum oxide ceramic substrate in the friction chemical polishing process, including the number of bonds generated on the surface of the aluminum nitride ceramic under different roughness factors, the number of the bonds generated on the surface of the aluminum nitride ceramic under different roughness factors and the number of the bonds generated on the surface of the aluminum nitride ceramic under different roughness factors, is determined. The temperature change and the stress change in the scratching process are avoided.

The invention relates to the technical field of geosynthetic material testing, and provides a method for testing a contact angle of a composite geosynthetic material. The method comprises the following steps: acquiring the composite geosynthetic material, measuring the texture surface area of the composite geosynthetic material by adopting a light-cutting method, and calculating a roughness factor of the composite geosynthetic material by utilizing the texture surface area; calculating the surface area ratio of the hydrophilic material to the hydrophobic material in the composite geosynthetic material; measuring the intrinsic contact angle of the hydrophilic material and the hydrophobic material in the composite geosynthetic material; the apparent contact angle of the composite geosynthetic material is calculated through a Cassie-Baxter model and a Wenzel model; the problems that in the prior art, a contact angle measuring method based on the Young's equation is not suitable for measuring the contact angle of the composite woven geotextile, and the contact angle of a composite material with various chemical components, an uneven surface and a complex pore structure cannot be accurately measured at present are solved.

The invention relates to the technical field of water conservancy projects, and provides a mountain river on-way roughness coefficient measuring and calculating method based on water surface texture features, comprising: acquiring mountain river on-way topographic data including remote sensing images and DEM data, and creating a hydrodynamic model computational grid based on the DEM data; dividing a river channel into a plurality of river channel form categories based on the remote sensing image; analyzing water surface texture features based on the remote sensing image to obtain multiple types of water surface texture feature data; and performing distributed roughness factor assignment on the hydrodynamic model calculation grid according to the river form category and the water body surface texture features. According to the method, the texture features of the surface of the water body are analyzed, the river form type is accurately recognized in combination with the remote sensing technology, distributed roughness assignment is carried out on the hydrodynamic model calculation unit according to the texture features of different river forms, the actual roughness coefficient is accurately reflected, and the simulation precision and reliability of the hydrodynamic model are improved.

The invention relates to the technical field of automatic control, in particular to a process monitoring method and system for glass plate processing. The method comprises the steps that a grinding disc is divided into a plurality of areas, and temperature, linear speed and pressure data of each area at each moment are collected; constructing a temperature prediction function; acquiring a plurality of groups of initial temperature rise coefficients of each region; based on the roughness factor of each region at each moment and the plurality of groups of initial temperature rise coefficients, constructing a temperature rise coefficient attenuation function, and obtaining each group of temperature rise coefficients of each region at each moment; performing weighted summation on each group of temperature rise coefficients according to the weight of each group of temperature rise coefficients of each region at each moment to obtain a final group of temperature rise coefficients; substituting the final group temperature rise coefficient into a temperature prediction function, and predicting the temperature at the next moment; the linear speed and the pressure of the area are independently adjusted according to the predicted temperature, accurate temperature control is achieved, and accurate temperature control over all the areas is achieved.

The invention provides a roughness factor joint calibration method and device, electronic equipment and a storage medium, and the method comprises the steps: constructing a hydrodynamic model, obtaining a multi-session actual measurement flow sequence of each section, recognizing a critical quantile position of each session in a flow quantile threshold curve from a smooth section to an ascending section, and determining a roughness factor value of each session; determining the optimal low-flow quantile with the highest synchronism at the critical quantile position of each section; constructing a low-flow constraint that the simulated total flow below the optimal low-flow quantile is not lower than the actually measured total flow; determining the comprehensive weight of each section according to the management function importance of each section and the actually measured flow data quality, and constructing a target function in combination with the simulation precision of each section under multiple sessions; and through an optimization algorithm, searching an optimal roughness factor parameter combination enabling the objective function to be minimum on the premise of meeting low flow constraints, and outputting the optimal roughness factor parameter combination as a calibration result. By means of the method, the problems that the simulation precision is low in the low-flow time period, and the key section priority cannot be reflected are solved.

The present application relates to the technical field of automation control, and especially relates to a process monitoring method and system for glass plate processing. The method comprises the following steps: dividing a grinding disc into several regions, collecting temperature, linear velocity and pressure data of each region at each time; constructing a temperature prediction function; obtaining several groups of initial temperature rise coefficients of each region; constructing a temperature rise coefficient decay function based on the roughness factor of each region at each time and the several groups of initial temperature rise coefficients, and obtaining each group of temperature rise coefficients of each region at each time; performing weighted summation on each group of temperature rise coefficients of each region at each time according to the weight of each group of temperature rise coefficients, to obtain a final group of temperature rise coefficients; substituting the final group of temperature rise coefficients into the temperature prediction function to predict the temperature at the next time; and independently adjusting the linear velocity and pressure of the region according to the predicted temperature to realize accurate temperature control. The present application realizes accurate temperature control of each region.