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FUZZY REGRESSION MODEL TO PREDICT THE bead geometry IN THE ROBOTIC WELDING PROCESS

Acta Metallurgica Sinica(English Letters) 2007年第6期20卷 391-397页

作者： B.S. Sung I.S. Kim Y. Xue H.H. Kim Y.H. Cha Department of Material Engineering Chosun University 375 Seosul-Dong Dong-GuGwangju 501-759 Korea Department of Mechanical Engineering Mokpo National University 61 Dorim-riChungkye-Myun Muan-Gun Jconnam 534-729 Korea Department of Mechanical Engineering Chosun University 375 Seosul-Dong Dong-GuGwangju 501-759 Korea

Recently, there has been a rapid development in computer technology, which has in turn led to develop the fully robotic welding system using artificial intelligence （AI） technology. However, the robotic welding system has not been achieved due to difficulties of the mathematical model and sensor technologies. The possibilities of the fuzzy regression method to predict the bead geometry, such as bead width, bead height, bead penetration and bead area in the robotic GMA （gas metal arc） welding process is presented. The approach, a well-known method to deal with the problems with a high degree of fuzziness, is used to build the relationship between four process variables and the four quality characteristics, respectively. Using these models, the proper prediction of the process variables for obtaining the optimal bead geometry can be determined.

关键词： robotic arc welding bead geometry fuzzy regression modelwelding quality

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Sensitivity model for prediction of bead geometry in underwater wet flux cored arc welding

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Transactions of Nonferrous Metals Society of China 2013年第7期23卷 1977-1984页

作者：石永华郑泽培黄晋华南理工大学机械与汽车工程学院广州510640

To investigate influence of welding parameters on weld bead geometry in underwater wet flux cored arc welding （FCAW）, orthogonal experiments of underwater wet FCAW were conducted in the hyperbaric chamber at water depth from 0.2 m to 60 m and mathematical models were developed by multiple curvilinear regression method from the experimental data. Sensitivity analysis was then performed to predict the bead geometry and evaluate the influence of welding parameters. The results reveal that water depth has a greater influence on bead geometry than other welding parameters when welding at a water depth less than 10 m. At a water depth deeper than 10 m, a change in travel speed affects the bead geometry more strongly than other welding parameters.

关键词： underwater welding bead geometry sensitivity analysis flux cored arc welding (FCAW)

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