Quality Estimation in Small Scale Resistance Spot Welding of Titanium Alloy Based on Dynamic Electrical Signals

Wan, Xiaohua; Wang, Yuanxun; Zhao, Dawei

doi:10.2355/isijinternational.isijint-2017-282

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…In many previous studies (Refs. [6][7][8][9] and some commercial RSW controllers, the dynamic resistance drop (△R drop ) after its peak has been used as a key feature for evaluating nugget diameter. However, this method may not be accurate enough.…”

Section: Analysis Of Resistance Drop Featurementioning

confidence: 99%

Quantitative Interpretation of Dynamic Resistance Signal in Resistance Spot Welding

XIA¹,

LV²,

LI³

et al. 2023

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Dynamic resistance is one of the most common and important signals used to monitor and control the resistance spot welding (RSW) process. However, existing studies on the signal evolution mechanism are limited to qualitative analysis, resulting in an ambiguous interpretation of the formation mechanism for the signal features. In this paper, a collaborative simulation approach was applied for the RSW of bare DP590 steel to obtain high-precision computation of the temperature and potential distributions inside the weld. On this basis, an analytical mapping model between the dynamic resistance signal and the weld profile was developed based on basic physical laws, and the signal evolution mechanism was quantitatively revealed through the model. It was found that the main factors determining the signal evolution trend are average sheet temperature and electrode/sheet contact diameter rather than the nugget growth process. The peak resistance feature was attributed to the bilinear relationship between sheet resistivity and temperature rather than nugget formation. The resistance drop after the peak mainly arose from the increase of the electrode/sheet contact diameter rather than nugget growth. This study can help improve the comprehension of the dynamic resistance signal and the interpretability of some data-driven methods used for RSW quality monitoring and control.

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Section: Analysis Of Resistance Drop Featurementioning

confidence: 99%

Quantitative Interpretation of Dynamic Resistance Signal in Resistance Spot Welding

XIA¹,

LV²,

LI³

et al. 2023

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“…In general, some important process signals, such as dynamic resistance and electrode displacement, are commonly employed on many occasions because they can indirectly reflect the physical characteristics of the parent metal sheets. 11,12) For decades, these two signals were always medium process variables to accomplish the nondestructive test (NDT) task 13,14) or design a tracking control strategy. 15) However, there were few works concerning obtaining these two signals by means of numerical calculation, so the works cannot be closely related to the actual engineering requirements.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Process Signals of Resistance Spot Welding for DP590 Steel Using Numerical Calculation

Zhou

Wang

et al. 2022

ISIJ Int.

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Although the finite element (FE) numerical calculation model has been extensively employed in analyzing metal characteristics, very few works use it to analyze features of the main process signals during the resistance spot welding (RSW) process. Hence, its generality was seriously restricted. In this work, a 2D FE model, which coupled thermal, electrical and mechanical fields, was established with reasonable meshing and parameters and boundary conditions. The parent metal used dual phase (DP) 590 steel, which is commonly employed in automobile lightweight manufacturing process. An actual experiment with the same conditions as the numerical calculation was conducted. The dynamic resistance and electrode displacement obtained from numerical calculation and actual experiment were seriously compared and analyzed. Many important characteristics of process signals have been reasonably explained by combining the results obtained from numerical calculation and experiments. The reasonability and accuracy of the FE numerical calculation were not only verified after the welding process but also examined in depth during the intermediate welding process. Hence, the work can effectively enlarge the applications of the FE model and strengthen the correlation between control strategy design, online quality estimation using main process signals and FE numerical calculation during the RSW process.

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Effects of welding current on the microstructure and mechanical behavior of resistance-welded WC-Co/B318 steel joints

Chen

Guo

Zhang

et al. 2021

Ceramics International

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Quality Estimation in Small Scale Resistance Spot Welding of Titanium Alloy Based on Dynamic Electrical Signals

Cited by 7 publications

References 21 publications

Quantitative Interpretation of Dynamic Resistance Signal in Resistance Spot Welding

Quantitative Interpretation of Dynamic Resistance Signal in Resistance Spot Welding

Analysis of Process Signals of Resistance Spot Welding for DP590 Steel Using Numerical Calculation

Effects of welding current on the microstructure and mechanical behavior of resistance-welded WC-Co/B318 steel joints

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