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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.
An Experimental Study on Mathematical Model to Predict Bead Width in GMA Weldment
김일수(Ill Soo Kim),박민호(Min Ho Park),김학형(Hak Hyoung Kim),이종표(Jong Pyo Lee),박철균(Cheol Kyun Park),심지연(Ji Yeon Shim) Korean Society for Precision Engineering 2015 한국정밀공학회지 Vol.32 No.2
Generally welding is one of the most important processes to have a strong influence on the quality and productivity from a manufacture-based industry such as shipbuilding, automotive and machinery. The GMA(Gas Metal Arc) welding process involves large number of interdependent welding parameters which may affect product quality, productivity and cost effectiveness. To solve such problems, mathematical models are required to select the welding parameters for GMA welding process. In this study, the GMA welding process was studied using the information generated during the welding. The statistical analysis of a generalized regression approach was conducted by the following three methods: Firstly using the mathematical model (linear regression, 2nd regression); Secondly GA(Genetic Algorithm) with intelligent models; And finally using response surface analysis of models to develop the relationships between welding parameters and bead width as welding quality.
김일수(Ill-Soo Kim),유관종(Kwan-Jong Yu),서주환(Joo-Hwan Se),손준식(Joon-Sik Son),김학형(Hak-Hyoung Kim) 한국생산제조학회 2006 한국생산제조시스템학회 학술발표대회 논문집 Vol.2006 No.5
The GMA welding process involves large number of interdependent variables which may affect product quality, productivity and cost effectiveness. The relationship between process parameters for a fillet welding and bead geometry is complex because a number of process parameters are involved. To make the automated GMA welding, it is essential that a mathematical model that predicts bead geometry and accomplishes the desired mechanical properties of the weldment is developed. In this paper, an attempt has been made to develop a neural network model and two regression equations(linear and curvilinear) to predict a bead height on fillet welding and to compare the neural network model and the two regression equations in order to select an optimal prediction model.