Prediction of MAG Welding Formation Based on Fuzzy Interpolation Reasoning

Welding is an important production and processing method in industrial production. Due to the uncertainty of its process and the complexity of its mechanism, it is challenging to construct an accurate welding process parameter model to describe it. Fuzzy interpolation reasoning is a valuable tool in...

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Main Authors: Zufu Pan, Zhiqiang Feng, Hao Yuan, Xin Li
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/13/7546
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author Zufu Pan
Zhiqiang Feng
Hao Yuan
Xin Li
author_facet Zufu Pan
Zhiqiang Feng
Hao Yuan
Xin Li
author_sort Zufu Pan
collection DOAJ
description Welding is an important production and processing method in industrial production. Due to the uncertainty of its process and the complexity of its mechanism, it is challenging to construct an accurate welding process parameter model to describe it. Fuzzy interpolation reasoning is a valuable tool in the realm of intelligent systems. It helps to reduce the complexity of fuzzy models and can be used for reasoning in fuzzy systems with sparse rule bases. This paper provides an interpolation reasoning method that combines fuzzy set distance and similarity. The proposed method is applied to welding forming predictions, and welding penetration is predicted by the given welding current and speed. The results show that the algorithm has high calculation accuracy.
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spelling doaj.art-6b4541ebe58f4103aa7f3d4caa93b48e2023-11-18T16:08:02ZengMDPI AGApplied Sciences2076-34172023-06-011313754610.3390/app13137546Prediction of MAG Welding Formation Based on Fuzzy Interpolation ReasoningZufu Pan0Zhiqiang Feng1Hao Yuan2Xin Li3School of Mechanical Engineering, Guangxi University, Nanning 530004, ChinaGuangxi Key Laboratory of Ocean Engineering Equipment and Technology, Beibu Gulf University, Qinzhou 535011, ChinaGuangxi Key Laboratory of Ocean Engineering Equipment and Technology, Beibu Gulf University, Qinzhou 535011, ChinaGuangxi Key Laboratory of Ocean Engineering Equipment and Technology, Beibu Gulf University, Qinzhou 535011, ChinaWelding is an important production and processing method in industrial production. Due to the uncertainty of its process and the complexity of its mechanism, it is challenging to construct an accurate welding process parameter model to describe it. Fuzzy interpolation reasoning is a valuable tool in the realm of intelligent systems. It helps to reduce the complexity of fuzzy models and can be used for reasoning in fuzzy systems with sparse rule bases. This paper provides an interpolation reasoning method that combines fuzzy set distance and similarity. The proposed method is applied to welding forming predictions, and welding penetration is predicted by the given welding current and speed. The results show that the algorithm has high calculation accuracy.https://www.mdpi.com/2076-3417/13/13/7546fuzzy setinterpolation reasoning methodMAG weldingforming prediction
spellingShingle Zufu Pan
Zhiqiang Feng
Hao Yuan
Xin Li
Prediction of MAG Welding Formation Based on Fuzzy Interpolation Reasoning
Applied Sciences
fuzzy set
interpolation reasoning method
MAG welding
forming prediction
title Prediction of MAG Welding Formation Based on Fuzzy Interpolation Reasoning
title_full Prediction of MAG Welding Formation Based on Fuzzy Interpolation Reasoning
title_fullStr Prediction of MAG Welding Formation Based on Fuzzy Interpolation Reasoning
title_full_unstemmed Prediction of MAG Welding Formation Based on Fuzzy Interpolation Reasoning
title_short Prediction of MAG Welding Formation Based on Fuzzy Interpolation Reasoning
title_sort prediction of mag welding formation based on fuzzy interpolation reasoning
topic fuzzy set
interpolation reasoning method
MAG welding
forming prediction
url https://www.mdpi.com/2076-3417/13/13/7546
work_keys_str_mv AT zufupan predictionofmagweldingformationbasedonfuzzyinterpolationreasoning
AT zhiqiangfeng predictionofmagweldingformationbasedonfuzzyinterpolationreasoning
AT haoyuan predictionofmagweldingformationbasedonfuzzyinterpolationreasoning
AT xinli predictionofmagweldingformationbasedonfuzzyinterpolationreasoning