Digitalized welding machine with parameter self-learning function

A self-learning, functional technology, applied in the direction of manufacturing tools, welding equipment, arc welding equipment, etc., to achieve the effect of reduced development cycle and development cost, reduced number of tests, and good weld formation

Active Publication Date: 2013-10-30
EAST GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For a specific parameter, it may be possible to improve it by fine-tuning the wire feeding, but facing thousands of sets of data, a large number of debugging experiments are required

Method used

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  • Digitalized welding machine with parameter self-learning function

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Embodiment Construction

[0016] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments, but the implementation method and scope of protection of the present invention are not limited thereto.

[0017] Digital welding machine with parameter self-learning function, including passive harmonic suppression and rectification and filtering circuit, IGBT full-bridge inverter circuit, intermediate frequency transformer, rectification and filtering circuit, wire feeding circuit, optical coupler, PWM drive control module, AD module, DSP control core module, SCI module, JTAG interface and ARM all-digital panel; The input end of described passive harmonic suppression and rectification circuit is connected to 380V AC power supply, and the output end of described passive harmonic suppression and rectification circuit is connected to The power input end of the IGBT full-bridge inverter circuit, the power output end of the IGBT full-bridge inverter ...

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Abstract

The invention relates to a digitalized welding machine with a parameter self-learning function, which automatically generates parameters of a plurality of working point with good welding effect into parameters of other working points within an interval through a large step pitch calibration and local Newton interpolation parameter self-regulation algorithm, thereby achieving the effect of continuous regulation and overcoming the defect of sectionalized regulation of the discretization of a digitalized arc welding power supply. The invention can realize multiple welding processes including CO2 welding, P-MIG (Metal-Inert Gas Welding) welding, DP-MIG welding, and the like, has stable welding process and good welding line formation which are proved by tests, provides the storage modes of welding parameters with different attributes and priority levels aiming at different parameter generation modes and can ensure that the welding parameters are optimized; and in addition, the overwriting of the welding parameters and the self-learning function of the digitalized welding machine can be realized by utilizing the method to ensure that the welding parameters are more and more well used and the requirements on people for the intelligentization of the digital welding machine are met.

Description

technical field [0001] The invention belongs to the technical field of high-end digital welding power supply equipment, and in particular relates to a digital welding machine with a parameter self-learning function. Background technique [0002] With the advancement of power electronics technology and microprocessor technology, high-performance power switching elements and DSP are constantly being applied to the field of arc welding power supplies, and the digitization and intelligence of arc welding power supplies has become a current research hotspot. In foreign countries, internationally renowned welding equipment companies represented by FRONIUS in Austria, CLOOS in Germany, and OTC in Japan have developed a series of digital welding machine systems with expert databases. The main reason for the high price of these welding is Especially the development of digital welding machine needs to do a lot of process tests, which will consume a lot of time and financial resources....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B23K9/095B23K9/10
Inventor 薛家祥林放徐海波崔龙彬陈小峰
Owner EAST GRP CO LTD
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