Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Sensor grid discretization error evaluation method based on ANSYS software

A grid discretization and error evaluation technology, which is applied in instrumentation, design optimization/simulation, special data processing applications, etc., can solve the problems of grid discretization errors that cannot reflect the sensor, large model stress, errors, etc. Discretization error evaluation problem, the effect of improving accuracy

Pending Publication Date: 2021-08-20
杜玉玲 +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the "energy self-locking" phenomenon, the stress in some areas of the model is too large, making it impossible to judge whether the simulation results are reasonable
At present, the evaluation method of the discrete error of the sensor grid is limited to the self-evaluation of the ANSYS error software, but the error of the software self-evaluation is only a relative error, that is, the error measure of the high error area is calculated relative to other grid cells in the model , does not reflect the sensor grid discrete error

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Sensor grid discretization error evaluation method based on ANSYS software
  • Sensor grid discretization error evaluation method based on ANSYS software
  • Sensor grid discretization error evaluation method based on ANSYS software

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0031] figure 1 It is a schematic diagram of the overall flow of a sensor grid discretization error evaluation method based on ANSYS software proposed by the present invention, including establishment of sensor simulation model, simulation model grid division, ANSYS software grid quality self-assessment, insertion convergence control and setting convergence Parameters, using the Richardson extrapolation formula and error calculation formula to obtain the final grid discretization error, and evaluating the final grid discretization error. The error evaluation method of sensor grid discretization is based on the error evaluation method of ANSYS finite element simulation, which combines grid quality self-assessment and insertion convergence control to optimize grid quality, and obtains the final network discrete error through er...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the technical field of sensors and computers, and particularly relates to a sensor grid discretization error evaluation method based on ANSYS software. According to the method, firstly, a sensor model is established, grids are divided, then ANSYS software grid quality self-evaluation and error self-evaluation are carried out, and after self-evaluation, high-precision grid quality and an accurate simulation result are obtained by inserting convergence control and setting convergence parameters; and a final grid discretization error is calculated by adopting a Richardson extrapolation formula and an error calculation formula, and whether the error can meet requirements or not is judged, and if not, it is continued to set convergence parameters. According to the sensor grid discretization error evaluation method provided by the invention, the evaluation process of the sensor grid discretization error is described in detail, the grid quality of a sensor simulation model is improved, the grid discretization error of the sensor is solved, the accuracy of a simulation result is improved, and ANSYS error self-evaluation can only obtain a relative error.

Description

technical field [0001] The invention belongs to the technical field of sensors and computers, and in particular relates to a sensor grid discretization error evaluation method based on ANSYS software. Background technique [0002] Due to its high robustness, high sensitivity, high temperature stability and high responsivity, silicon carbide high-temperature capacitive sensors are mainly used in aerospace engine air inlet pressure measurement. The environment is relatively complex, and it is difficult to directly monitor the work of the sensor. State, using ANSYS software to carry out finite element simulation on the sensor, the higher precision simulation results help the surveyors to grasp the working ability and working state of the sensor in a complex environment. [0003] Under the condition that the boundary conditions and loads of the sensor model are reasonable, the discretization error of the grid unit is the main source of the simulation error of the finite element ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F30/23G06Q10/06
CPCG06F30/23G06Q10/06393Y02T90/00
Inventor 杜玉玲杨荣森
Owner 杜玉玲
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products