Study on the wire feed speed prediction of double-wire-pulsed MIG welding based on support vector machine regression

Yao, Ping; Xue, Jiaxiang; Zhou, Kang

doi:10.1007/s00170-015-7039-9

Cited by 22 publications

(7 citation statements)

References 25 publications

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“…Considering the different situations above and combining electromagnetic theories, relative experiments and corresponding analyses [19][20][21], a new multi-frequency double-wire waveform control method (Figure 3d) was proposed in this work. It can be seen from the figure that when the leading wire current switched from peak stage to base stage after one cycle, the central control system gave out a signal which made the trailing wire current turning from base stage to peak stage.…”

Section: Proposed Multi-frequency Double-wire Impulse Welding Methodsmentioning

confidence: 99%

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Research of a Multi-Frequency Waveform Control Method on Double-Wire MIG Arc Welding

Yao

Zhou

2017

Applied Sciences

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Abstract:To improve the energy efficiency and quality of the welding seam during the double-wire metal inert-gas (MIG) arc welding production, a new multi-frequency waveform control method was proposed in this paper. In this method, a multi-frequency modulation was added to the waveform in the peak stage of trailing wire current, under the situation that the two wires current waveforms had the same frequencies but inverse phases. This new action can benefit the stability of welding process and improve the quality of welding seam. Actual experiments were conducted to validate the proposed method. Orthogonal experiments and corresponding mathematical analyses were also employed to seek an optimal parameters combination. Finally, an optimal combination was confirmed and a welding seam with satisfactory quality was obtained, which showed that the proposed control method and corresponding analyses can well serve the double-wire MIG arc welding, and then benefit the actual production in the future.

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Section: Proposed Multi-frequency Double-wire Impulse Welding Methodsmentioning

confidence: 99%

“…In this method, some important parameters are selected as different factors to perform orthogonal experiments. The selection can reduce the workload and involve corresponding methods to analyze the results, so that more reliable results can be obtained [15,19,22,23].…”

Section: Experiments Of the Proposed Multi-frequency Waveform Controlmentioning

confidence: 99%

Research of a Multi-Frequency Waveform Control Method on Double-Wire MIG Arc Welding

Yao

Zhou

2017

Applied Sciences

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“…where the coefficients w and b are the weight vector and bias term, respectively. This linear function can be constrained to the following optimization problem [10,11,52]. Using ε as the insensitive loss function, the corresponding SVR, which is called ε-SVR, can be represented as follows:…”

Section: Conflicts Of Interestmentioning

confidence: 99%

A Least Squares Ensemble Model Based on Regularization and Augmentation Strategy

Zhang¹,

Zhang²,

Liu³

et al. 2019

Applied Sciences

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Surrogate models are often used as alternatives to considerably reduce the computational burden of the expensive computer simulations that are required for engineering designs. The development of surrogate models for complex relationships between the parameters often requires the modeling of high-dimensional functions with limited information, and it is challenging to choose an effective surrogate model over the unknown design space. To this end, the ensemble models—combined with different surrogate models—offer effective solutions. This paper presents a new ensemble model based on the least squares method, which is a regularization strategy and an augmentation strategy; we call the model the regularized least squares ensemble model (RLS-EM). Three individual surrogate models—Kriging, radial basis function, and support vector regression—are used to compose the RLS-EM. Further, the weight factors are estimated by the least squares method without using the global or local error metrics, which are used in most existing methods. To solve the collinearity in the least squares calculation process, a regularization strategy and an augmentation strategy are developed. The two strategies help explore the unknown regions and improve the accuracy on one hand; on the other hand, the collinearity can be reduced, and the overfitting phenomenon that may occur can be avoided. Six numerical functions, from two-dimensional to 12-dimensional, and a computer numerical control (CNC) milling machine bed design problem are used to verify the proposed method. The results of the numerical examples show that RLS-EM saves a considerable amount of computation time while ensuring the same level of robustness and accuracy compared with other ensemble models. The RLS-EM used for the CNC milling machine bed design problem also shows good accuracy characteristics compared with other ensemble methods.

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“…For each array of welding currents, which included the leading current and trailing welding, the value of w(I) could be obtained using sample entropy method for the mathematical fitting results for several experimental results [20,21].…”

Section: Cdf Statistical Analysis Evaluation Based On Short Time Energymentioning

confidence: 99%

Application of short time energy analysis in monitoring the stability of arc sound signal

Yao

Zhou

2017

Measurement

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Study on the wire feed speed prediction of double-wire-pulsed MIG welding based on support vector machine regression

Cited by 22 publications

References 25 publications

Research of a Multi-Frequency Waveform Control Method on Double-Wire MIG Arc Welding

Research of a Multi-Frequency Waveform Control Method on Double-Wire MIG Arc Welding

A Least Squares Ensemble Model Based on Regularization and Augmentation Strategy

Application of short time energy analysis in monitoring the stability of arc sound signal

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