Study on Data Analysis System of Multi-Information in Arc Welding

Jun Hong Wang; Chang Du; Li Gong Ling

doi:10.4028/www.scientific.net/AMR.1028.57

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Study on Data Analysis System of Multi-Information in Arc Welding
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1028Study on Data Analysis System of Multi-Information...

Study on Data Analysis System of Multi-Information in Arc Welding

Abstract:

Welding used as a material connecting technology is widely applied in the manufacture and plays an important role. At present the rapid development of our country's manufacture results in the requirements of higher and higher welding quality. The advanced data analysis system was used in the welding process, to obtain parameters which were able to reflect the characteristics of welding process. On that basis, the parameters of welding process can be optimized and then offer help to improve the welding quality. The data analysis systems designed in this paper can be used in analyzing electrical signals, high-speed camera images and spectral data in the welding. This data analysis system provided a wide range of functions, such as: mapping of voltage and current waveforms, U-I curve, probability density curves of voltage and current, voltage and current filtering, calculation of short-circuit frequency, short-cycle variance and shot droplet transfer cycle variance, the importation of energy and integral of the spectrum intensity, analyzing the relevance of the electrical signals, playing multi-information of arc synchronously. In the experiment of pulsed MAG welding and laser-pulse MAG welding, the system was used in comparing the multi-information of the arc and its function was absolutely embodied.

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Periodical:

Advanced Materials Research (Volume 1028)

Pages:

57-61

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1028.57

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Online since:

September 2014

Authors:

Jun Hong Wang, Chang Du*, Li Gong Ling

Keywords:

Electric Signals, High Speed Camera, LabVIEW, Laser-Pulsed MAG Welding, Pulsed MAG Welding, Spectrum, Synchronous Analysis

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* - Corresponding Author

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