In this research,an auxiliary illumination visual sensor system,an ultraviolet/visible(UVV)band visual sensor system(with a wavelength less than 780 nm),a spectrometer,and a photodiode are employed to capture insights...In this research,an auxiliary illumination visual sensor system,an ultraviolet/visible(UVV)band visual sensor system(with a wavelength less than 780 nm),a spectrometer,and a photodiode are employed to capture insights into the high-power disc laser welding process.The features of the visible optical light signal and the reflected laser light signal are extracted by decomposing the original signal captured by the photodiode via the wavelet packet decomposition(WPD)method.The captured signals of the spectrometer mainly have a wavelength of 400-900 nm,and are divided into 25 sub-bands to extract the spectrum features by statistical methods.The features of the plume and spatters are acquired by images captured by the UVV visual sensor system,and the features of the keyhole are extracted from images captured by the auxiliary illumination visual sensor system.Based on these real-time quantized features of the welding process,a deep belief network(DBN)is established to monitor the welding status.A genetic algorithm is applied to optimize the parameters of the proposed DBN model.The established DBN model shows higher accuracy and robustness in monitoring welding status in comparison with a traditional back-propagation neural network(BPNN)model.The effectiveness and generalization ability of the proposed DBN are validated by three additional experiments with different welding parameters.展开更多
A novel method for measuring differences of microstructure by advanced use of the Faraday magneto-optical effect is proposed. Two groups of YAG laser welds on Q235 have been investigated in order to compare MO imaging...A novel method for measuring differences of microstructure by advanced use of the Faraday magneto-optical effect is proposed. Two groups of YAG laser welds on Q235 have been investigated in order to compare MO imaging and traditional methods. Microstructure images have been compared with MO images, and MO diagrams display different colors and gray scales for the base metal, the weld zone, and the heat affected zone. Experimental results indicate that the welded joint microstructure can be inspected by MO imaging without metallographic preparation.展开更多
Deeply penetrated welds can be produced with high-power-density lasers.Thus the factors affecting laser weld penetration,laser-induced plume behavior and the interaction between a laser beam and a plume,keyhole behavi...Deeply penetrated welds can be produced with high-power-density lasers.Thus the factors affecting laser weld penetration,laser-induced plume behavior and the interaction between a laser beam and a plume,keyhole behavior,melt flows in the molten pool,and the generation and prevention of bubbles and porosity were investigated.Consequently,the effects of plasma and plume on the weld penetration were interpreted in CO2 and fiber lasers welding,respectively.The formation of spattering,underfilled beads,and humping was understood.It was confirmed that porosity was easily formed at high powers and low welding speeds due to the generation of many bubbles from the tip of a keyhole.展开更多
The mechanism of the increasing of A-TIG welding penetration is studied by using the activating flux we developed for stainless steel, The effect of fluxon the flow and temperature fields of weld pool is simulated by ...The mechanism of the increasing of A-TIG welding penetration is studied by using the activating flux we developed for stainless steel, The effect of fluxon the flow and temperature fields of weld pool is simulated by the PHOENICS software, It shows that without flux, the fluid flow will be outward along the surface of the weld pool and then down, resulting in a flatter weld pool shape. With the flux, the oxygen, which changes the temperature dependence of surface tehsion grads froma negative value toa positive value, can cause significant changes onthe Weld penetration. Fluid flow will be inward along the surface of the weld pool toward the center and then down. This fluid flow pattern efficiently transfers heat to the weld root and produces a relatively deep and narrow weld.This change is the main cause of penetration increase. Moreover, arc construction can cause the weld width to become narrower and the penetration to become deeper, but this is not the main cause of penetration increase. The effects Of flux on fluid flow of the weld pool surface and arc profiles were observed in conventiOnai TIG welding and in A-TIG welding by using high-speed video camera; The fluid flow behavior was visualized in realtime scale by micro focused X-ray transmission video observation system. The result indicated that stronger inward fluid flow patterns leading to weld beads with narrower width and deeper penetration could be apparently identified in the case of A-TIG welding.The flux couldchange the direction of fluid flow i-n welding pool. It has a good agreement with the simulation result.展开更多
基金Project (51175095) supported by the National Natural Science Foundation of ChinaProjects (10251009001000001,9151009001000020) supported by the Natural Science Foundation of Guangdong Province,ChinaProject (20104420110001) supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China
基金This work was partly supported by the National Natural Science Foundation of China(51675104 and 61703110)the Science and Technology Planning Project of Guangzhou,China(201707010197)+2 种基金the Innovation Team Project,Department of Education of Guangdong Province,China(2017KCXTD010)the Guangdong Provincial Natural Science Foundation of China(2017A030310494 and 2016A030310347)the Youth Science Foundation of Guangdong University of Technology(16ZK0010).
文摘In this research,an auxiliary illumination visual sensor system,an ultraviolet/visible(UVV)band visual sensor system(with a wavelength less than 780 nm),a spectrometer,and a photodiode are employed to capture insights into the high-power disc laser welding process.The features of the visible optical light signal and the reflected laser light signal are extracted by decomposing the original signal captured by the photodiode via the wavelet packet decomposition(WPD)method.The captured signals of the spectrometer mainly have a wavelength of 400-900 nm,and are divided into 25 sub-bands to extract the spectrum features by statistical methods.The features of the plume and spatters are acquired by images captured by the UVV visual sensor system,and the features of the keyhole are extracted from images captured by the auxiliary illumination visual sensor system.Based on these real-time quantized features of the welding process,a deep belief network(DBN)is established to monitor the welding status.A genetic algorithm is applied to optimize the parameters of the proposed DBN model.The established DBN model shows higher accuracy and robustness in monitoring welding status in comparison with a traditional back-propagation neural network(BPNN)model.The effectiveness and generalization ability of the proposed DBN are validated by three additional experiments with different welding parameters.
基金Project supported by the National Natural Science Foundation of China(Grant No.51675104)the Science and Technology Planning Project of Guangzhou,China(Grant No.201510010089)the Science and Technology Planning Public Project of Guangdong Province,China(Grant No.2016A010102015)
文摘A novel method for measuring differences of microstructure by advanced use of the Faraday magneto-optical effect is proposed. Two groups of YAG laser welds on Q235 have been investigated in order to compare MO imaging and traditional methods. Microstructure images have been compared with MO images, and MO diagrams display different colors and gray scales for the base metal, the weld zone, and the heat affected zone. Experimental results indicate that the welded joint microstructure can be inspected by MO imaging without metallographic preparation.
文摘Deeply penetrated welds can be produced with high-power-density lasers.Thus the factors affecting laser weld penetration,laser-induced plume behavior and the interaction between a laser beam and a plume,keyhole behavior,melt flows in the molten pool,and the generation and prevention of bubbles and porosity were investigated.Consequently,the effects of plasma and plume on the weld penetration were interpreted in CO2 and fiber lasers welding,respectively.The formation of spattering,underfilled beads,and humping was understood.It was confirmed that porosity was easily formed at high powers and low welding speeds due to the generation of many bubbles from the tip of a keyhole.
文摘The mechanism of the increasing of A-TIG welding penetration is studied by using the activating flux we developed for stainless steel, The effect of fluxon the flow and temperature fields of weld pool is simulated by the PHOENICS software, It shows that without flux, the fluid flow will be outward along the surface of the weld pool and then down, resulting in a flatter weld pool shape. With the flux, the oxygen, which changes the temperature dependence of surface tehsion grads froma negative value toa positive value, can cause significant changes onthe Weld penetration. Fluid flow will be inward along the surface of the weld pool toward the center and then down. This fluid flow pattern efficiently transfers heat to the weld root and produces a relatively deep and narrow weld.This change is the main cause of penetration increase. Moreover, arc construction can cause the weld width to become narrower and the penetration to become deeper, but this is not the main cause of penetration increase. The effects Of flux on fluid flow of the weld pool surface and arc profiles were observed in conventiOnai TIG welding and in A-TIG welding by using high-speed video camera; The fluid flow behavior was visualized in realtime scale by micro focused X-ray transmission video observation system. The result indicated that stronger inward fluid flow patterns leading to weld beads with narrower width and deeper penetration could be apparently identified in the case of A-TIG welding.The flux couldchange the direction of fluid flow i-n welding pool. It has a good agreement with the simulation result.