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김일수,김학형,장한기,김희진,곽성규,유회수,심지연,Kim, Ill-Soo,Kim, Hak-Hyoung,Jang, Han-Kee,Kim, Hee-Jin,Kwak, Sung-Kyu,Ryoo, Hoi-Soo,Shim, Ji-Yeon 대한용접접합학회 2009 대한용접·접합학회지 Vol.27 No.4
In the process to manufacture for metallic structures, control of welding deformation is one of an important problems connected with reliability of the manufactured structures so that welding deformation should be measured and controlled with quickly and actively. Also, welding parameters which have as lot of effects on welding deformation such as arc voltage, welding current and welding speed can also be controlled. The objectives for this study were to develop a simple 2-D FEM to calculate not only the transient thermal histories but also the sizes of fusion and heat-affected zone (HAZ) in multi pass arc welds including the butt and fillet weld type with dissimilar thickness, and to concentrate on a developed model for the finding the parameters of Godak's moving heat source model based on a GA. The developed model includes a GA program using MATLB and GA toolbox, and a batch mode thermal model using ANSYS software. Not only the thermal model was verified by comparison with Goldak's work but also the developed model was validated with molten zone section experimental data.
김일수,전광석,손준식,서주환,김학형,심지연,Kim, Ill-Soo,Chon, Kwang-Suk,Son, Joon-Sik,Seo, Joo-Hwan,Kim, Hak-Hyoung,Shim, Ji-Yeon 대한용접접합학회 2006 대한용접·접합학회지 Vol.24 No.5
The robotic arc welding is widely employed in the fabrication industry fer increasing productivity and enhancing product quality by its high processing speed, accuracy and repeatability. Basically, the bead geometry plays an important role in determining the mechanical properties of the weld. So that it is very important to select the process variables for obtaining optimal bead geometry. In this paper, the possibilities of the Infrared camera in sensing and control of the bead geometry in the automated welding process are presented. Both bead width and thermal images from infrared thermography are effected by process parameters. Bead width and isotherm radii can be expressed in terms of process parameters(welding current and welding speed) using mathematical equations obtained by empirical analysis using infrared camera. A linear relationship exists between the isothermal radii producted during the welding process and bead width.
신경회로망과 수학적 방정식을 이용한 최적의 용입깊이 예측에 관한 연구
김일수(Kim Ill-Soo),전광석(Chon Kwang Suk) 한국공작기계학회 1999 한국공작기계학회지 Vol.8 No.5
Adaptive control in the robotic GMA(Gas Metal Arc) welding is employed to monitor the information about weld characteristics and process parameters as well as modification of those parameters to hold weld quality within the acceptable limits. Typical characteristics are the bead geometry, composition, microstructure, appearance and process parameters which govern the quality of the final weld. The main objectives of this paper are to realize the mapping characteristics of penetration through the learning. After learning, the neural network can predict the penetration desired from the learning mapping characteristic. The design parameters of the neural network estimator(the number of hidden layers and the number of nodes in a layer) were chosen from an error analysis. Partial-penetration, single-pass, bead-on-plate welds were fabricated in 12㎜ mild steel plates in order to verify the performance of the neural network estimator. The experimental results show that the proposed neural network estimator can predict the penetration with reasonable accuracy and guarantee the uniform weld quality.