Plasma arc welding current fusion width control system based on fuzzy inference-neural network

A technology of plasma arc and fuzzy reasoning, applied in arc welding equipment, manufacturing tools, welding equipment, etc., can solve problems that plague the welding industry, such as plasma arc welding fusion width, penetration and weld formation, and other quality control difficulties, to achieve Improve welding accuracy, wide versatility and application prospects, good effect of fault tolerance and robustness

Inactive Publication Date: 2018-01-19
SHENYANG FORTUNE PRECISION EQUIP CO LTD
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, since the dynamic change process of the weld pool is a complex process with high nonlinearity, multi-variable coupling, and a large number of random uncertain factors, it determines the quality control of plasma arc welding's fusion width, penetration, and weld formation. is very difficult
Due to the complexity of the welding process, it is impossible to obtain an effective controllable model by the classical object modeling method, which is the main reason why the welding process control has become a major problem in the welding and control circles for a long time.

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
  • Plasma arc welding current fusion width control system based on fuzzy inference-neural network
  • Plasma arc welding current fusion width control system based on fuzzy inference-neural network
  • Plasma arc welding current fusion width control system based on fuzzy inference-neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0026] Such as Figure 1-Figure 2 Shown, the present invention is based on the plasma arc welding current of fuzzy reasoning-neural network-fusion width control system, is used for the dynamic control of molten pool width when plasma arc welding, comprises host computer, plasma arc welding controller, seam tracking sensor ( Such as: molten pool width tracking camera, etc.), welding torch, and weld seam tracking control interface (ie: molten pool width tracking control interface), etc. The specific structure is as follows:

[0027] The upper computer is connected with the plasma arc welding controller through the human-computer interaction interface, and the output terminals of the plasma arc welding controller are respectively connected with the seam tracking sensor 2 and the welding torch 3, the seam tracking sensor 2 is a visual sensor, th...

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 relates to the technical field of welding quality control, in particular to a plasma arc welding current fusion width control system based on a fuzzy inference-neural network. The systemcomprises an upper computer, a plasma arc welding controller, a welding seam tracking sensor, a welding gun and a welding seam tracking control interface, wherein the upper computer is connected withthe plasma arc welding controller through a human-machine interactive interface; the output end of the plasma arc welding controller is connected with the welding seam tracking sensor and the weldinggun; the welding seam tracking sensor and the welding gun are installed on a sliding table; the welding seam tracking sensor is connected with the input end of the plasma arc welding controller through the welding seam tracking control interface; and the welding seam tracking sensor corresponds to a weldment, and the welding gun corresponds to the weldment through a welding head. The welding seamtracking sensor detects whether the width of a melting pool has a deviation or not in real time from a visual area, and a detection signal is transmitted to the plasma arc welding controller throughthe welding seam tracking control interface, so that the width deviation of the melting pool is reduced, and the welding quality is improved.

Description

technical field [0001] The invention relates to the technical field of welding quality control, in particular to a plasma arc welding current-melting width control system based on fuzzy reasoning-neural network. Background technique [0002] Welding is one of the most important methods in modern metal processing. The metal processing technology that it forms together with other metal processing methods such as metal cutting, pressure processing, casting, and heat treatment is the basic production process of all modern manufacturing industries. [0003] Plasma arc welding is a compressed arc with high energy density, and it is a new high-temperature heat source developed in modern times. Because the arc column of the plasma arc is compressed, the gas is highly ionized, resulting in a high temperature, and the energy is concentrated in a small column. Therefore, it can be used as a high-temperature heat source for various purposes for welding, which can reduce the airflow and...

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): B23K28/02B23K9/095B23K9/127
Inventor 刘雷
Owner SHENYANG FORTUNE PRECISION EQUIP CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products