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Grey-Fuzzy Logic을 이용한 티타늄 박판에서 레이저 용접변수 최적화
진병주(Byeong-Ju Jin),박민호(Min-Ho Park),윤태종(Tae-Jong Yun),김일수(Ill-Soo Kim),박기영(Ki-Young Park),김용(Young Kim),양해진(Hae-Jin Yang) 대한용접·접합학회 2017 대한용접·접합학회지 Vol.35 No.6
Currently, the industrial market for structures and products have been gradually weakening along with industrial development. The stability of this market is also diversifying and being demanded with the concept of selecting lightweight and high strength materials. The titanium materials have come into the spotlight as materials that meet these needs. Therefore, In this study, an experimental method was established by using the orthogonal array table in the Taguchi method, and the SNR(Signal to noise ratio) is output to the tensile strength and bead shape through the welding experiment. Two parameters were defuzzification with using Grey-Fuzzy Logic for optimizing process considering the output variables, such as tensile strength and bead shape and output to Grey-Fuzzy Reasoning Grade(GFRG). This study was conducted by estimating the optimal input parameter with analysing the output GFRG by one-way ANOVA(Analysis of variance) method. In this paper, the optimal welding parameters for the lap welding of pure titanium material were selected as the welding speed of 2m/min, the laser power of 1.3 kW, the top shielding gas flow rate of 30ℓ/min and the bottom shielding gas flow rate of 10ℓ/min.
진병주(Byeong-Ju Jin),이종표(Jong-Pyo Lee),박민호(Min-Ho Park),김도형(Do-Hyeong Kim),우치엔치엔(Qian-Qian Wu),김일수(Il-Soo Kim),손준식(Joon-Sik Son) 대한용접·접합학회 2016 대한용접·접합학회지 Vol.34 No.2
The Gas Metal Arc(GMA) welding, called Metal Inert Gas(MIG) welding, has been an important component in manufacturing industries. A key technology for robotic welding processes is seam tracking system, which is critical to improve the welding quality and welding capacities. The objectives of this study were to develop the intelligent and cost-effective algorithms for image processing in GMA welding which based on the laser vision sensor. Welding images were captured from the CCD camera and then processed by the proposed algorithm to track the weld joint location. The proposed algorithms that commonly used at the present stage were verified and compared to obtain the optimal one for each step in image processing. Finally, validity of the proposed algorithms was examined by using weld seam images obtained with different welding environments for image processing. The results proved that the proposed algorithm was quite excellent in getting rid of the variable noises to extract the feature points and centerline for seam tracking in GMA welding and could be employed for general industrial application.
다구찌방법을 이용한 순수 Ti에서 디스크레이저 용접변수 최적화
진병주(Byeong-Ju Jin),박민호(Min-Ho Park),윤태종(Tae-Jong Yun),김일수(Ill-Soo Kim),박기영(Ki-Young Park),김용(Young Kim),양해진(Hae-Jin Yang) 대한용접·접합학회 2018 대한용접·접합학회지 Vol.36 No.1
The stability of industry market is also diversifying and being demanded with the concept of selecting lightweight and high strength materials. The titanium materials have been come into the spotlight as materials that meet these needs. Primarily, it affects the improvement in performance of industrial energy products such as plate heat exchangers. Therefore, It is necessary to use disk laser welding, which has the best beam characteristic among industrial lasers to contribute in the production. However, the researches of titanium materials have only been limited to achieve optimal results in implementing to the industry. In this study, an experimental method was established by using the orthogonal array table in the Taguchi method, and the SNR is output to the tensile strength. The experimental results has been employed for the influence of laser welding parameters on the weld shape, quality and mechanical properties of 0.6 mm thick lap joints of titanium alloy Ti (ASTM-B265 Grade 1) welded with a new generation disk laser TRUMPF TRUDISK 3302, emitting at 1030 ㎚, with maximum output power 3.3 ㎾ at circular laser beam spot. As a result, the optimal welding parameters for the lap welding of pure titanium material were predicted as the welding speed of 2m/min, the laser power of 1.5 ㎾, the top shielding gas flow rate of 30ℓ/min and the bottom shielding gas flow rate of 10ℓ/min.